Centers for Medicare & Medicaid Services
Baltimore, MD, USA
Attention Data Scientists, an Exciting Career Awaits You!
Flexible Schedules, Competitive Salary (with regular annual increases), Teleworking Options, and More!
If you are a data scientist who is ready to start your new career in a dynamic, high-energy, and highly visible organization where you can be results focused and make a positive impact, you should keep reading!
About the Position
Your breadth knowledge of analytic software and tools and your data management background in our fast-paced environment will be an asset. You will have many opportunities to build and discover using your specialized experience in data analysis. You will also have enormous opportunity to implement collaborative development tools and make data supported recommendations.
At CMS data is very important to us and is what helps us to solve especially impactful problems in health care systems and services. A data scientist professional that understand this importance is a must for this critical role. Could this be you?
With a focus on applying advanced analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data, your expertise will help us with interpreting unique and highly specialized data sets.
The data support aspect of your role will encompass communicating findings and complex technical program information through written, oral, and graphical methods to a variety of audiences across multiple levels of responsibility. Your work will involve serving as a liaison providing technical leadership and support to skilled IT infrastructure and security engineers and will keep you engaged and challenged.
If you are a proactive person with a strong passion for making an impact, take pride and ownership in your contribution, have excellent attention to detail and want to be part of an organization that touches the lives of over 90 million Americans, this could be your next long term role.
Your complete application, including all required documents as explained in the full vacancy announce, MUST be received by 11:59pm on 7/1/2019 to be considered. Application period: 06/18/2019 to 07/01/2019
About CMS
Centers for Medicare and Medicaid Services (CMS) is a Federal government agency within the Department of Health and Human Services. We are the largest purchaser of health care in the world responsible for one of our nation’s most critical functions. Medicare, Medicaid, the Children’s Health Insurance Program (CHIP) have help pay the medical bills of millions of older and low-income Americans, providing them with reliable health benefits and the CMS Health Insurance Marketplace provides consumer friendly information about new coverage options for millions of existing and new purchasers of health insurance.
Our mission is to ensure effective, up-to-date health care coverage and to promote quality care for beneficiaries. If this mission resonates with you, then you should ask yourself, “Where Else but CMS?”
Jun 17, 2019
Full-time
Attention Data Scientists, an Exciting Career Awaits You!
Flexible Schedules, Competitive Salary (with regular annual increases), Teleworking Options, and More!
If you are a data scientist who is ready to start your new career in a dynamic, high-energy, and highly visible organization where you can be results focused and make a positive impact, you should keep reading!
About the Position
Your breadth knowledge of analytic software and tools and your data management background in our fast-paced environment will be an asset. You will have many opportunities to build and discover using your specialized experience in data analysis. You will also have enormous opportunity to implement collaborative development tools and make data supported recommendations.
At CMS data is very important to us and is what helps us to solve especially impactful problems in health care systems and services. A data scientist professional that understand this importance is a must for this critical role. Could this be you?
With a focus on applying advanced analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data, your expertise will help us with interpreting unique and highly specialized data sets.
The data support aspect of your role will encompass communicating findings and complex technical program information through written, oral, and graphical methods to a variety of audiences across multiple levels of responsibility. Your work will involve serving as a liaison providing technical leadership and support to skilled IT infrastructure and security engineers and will keep you engaged and challenged.
If you are a proactive person with a strong passion for making an impact, take pride and ownership in your contribution, have excellent attention to detail and want to be part of an organization that touches the lives of over 90 million Americans, this could be your next long term role.
Your complete application, including all required documents as explained in the full vacancy announce, MUST be received by 11:59pm on 7/1/2019 to be considered. Application period: 06/18/2019 to 07/01/2019
About CMS
Centers for Medicare and Medicaid Services (CMS) is a Federal government agency within the Department of Health and Human Services. We are the largest purchaser of health care in the world responsible for one of our nation’s most critical functions. Medicare, Medicaid, the Children’s Health Insurance Program (CHIP) have help pay the medical bills of millions of older and low-income Americans, providing them with reliable health benefits and the CMS Health Insurance Marketplace provides consumer friendly information about new coverage options for millions of existing and new purchasers of health insurance.
Our mission is to ensure effective, up-to-date health care coverage and to promote quality care for beneficiaries. If this mission resonates with you, then you should ask yourself, “Where Else but CMS?”
Center for Creative Leadership
Greensboro, NC, USA
The Center for Creative Leadership (CCL), a world-renowned leadership development and research organization, has an opening for a research scientist specializing in network analysis. CCL integrates research and applications to create proven solutions to today’s leadership development challenges.
As a member of the Global Research and Evaluation group at CCL you will work on several different projects related to the study and development of leadership. A primary focus of this position will be applying network science and analysis to aid CCL in its efforts to arrive at a deeper understanding of leadership and to advance leadership development and in applying research to CCL products and services.
Specific duties and responsibilities will vary, but may include: designing research studies, collecting and analyzing data, managing large databases, learning and executing statistical analyses, developing relationships with research collaborators and clients, writing for high-impact journals as well as CEO & managerial audiences, presenting findings to both scientific and practitioner audiences and, working with internal CCL teams to commercialize products and services.
Candidates should have completed their Ph.D. before May 31, 2019 in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, and Social Psychology) and have up to 5 years of industry experience. A strong methodological, statistical, and theoretical research background as well as past experience presenting at major academic or practitioner conferences are required. The ability to demonstrate knowledge of network science as well as its application to organizational and leadership effectiveness required. Experience leading research projects and publishing in leading academic journals is referred.
The position is available immediately and the start date is negotiable
General Summary
The Research Scientist is a member of the Global Research and Evaluation faculty who makes significant contributions to theories and practice in the fields of leadership, leadership development, or other relevant disciplines. This person is responsible for designing and managing research projects as well as generating innovative ideas and approaches for CCL. A research scientist conducts, interprets, and communicates complex data analysis; presents findings at internationally recognized/high impact/strategic professional conferences and publishes results in peer-reviewed, upper tier journals, books and book chapters, and practice-focused publications.
Principal Duties and Responsibilities
Identifies promising areas of research and in partnership with others at CCL and designs projects to answer important theoretical and practical questions.
Skillfully aligns research questions with appropriate methods (design, data collection, analyses).
Collects and analyzes data, learning and executing statistical analyses as needed; and protects the security and confidentiality of data collected and analyzed.
Independently and in collaboration with others develops and publishes manuscripts at high-impact scientific journals as well as and non-academic publications for a general business audience.
Serves as subject matter expert for network science and social network analysis. Initiates and maintains relationships with project stakeholders, internal and external collaborators, and clients.
Develops CCL staff/facility capability in network science.
Contributes to CCL’s portfolio and Leadership Analytics Practice. Creates new products or practices based on scientific evidence.
Offers recommendations and insights that drive stronger business outcomes. Addresses needs and concerns of sales teams and clients to ensure the integration of network analytics services into broader CCL solutions.
Identifies funding or revenue sources and proactively pursues opportunities. Works with sales and marketing to review costs, anticipate volume, and develop strategies and plans for network analytics services.
Presents and/or chairs sessions at leading scientific and professional conferences.
Education
Requires a Ph.D. in in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, Social Psychology, Communication Studies, Computer Science)
Experience/Work Background
Up to five years’ experience working in academia, corporate business, and/or organizational development fields.
Experience using network science, methods and analysis in research is required Experience with advanced statistical research methods is required.
Experience working in or consulting with corporations is desirable.
Specific Knowledge, Skills and Abilities Required
Exceptional knowledge of relevant content areas, including but not limited to the fields of management/leadership, organizational development, talent management, adult learning theory, and human resource development.
Effective presentation and interpersonal skills (for interaction with clients, participants, and staff).
Strong statistical skills and experience using statistical software required. Proficiency in R and Git strongly preferred.
Ability to perform successfully as a solo, team, or lead researcher across a range of projects.
Ability to work within a high-paced environment with competing demands while ensuring high-quality work by self and team.
Flexible, adaptable with clients, colleagues and organization needs.
Exceptional organizational and planning skills.
Ability to create research projects and programs using sound theory and research designs.
Some travel may be required for conferences and working with clients as part of ongoing research efforts.
Jun 13, 2019
Full-time
The Center for Creative Leadership (CCL), a world-renowned leadership development and research organization, has an opening for a research scientist specializing in network analysis. CCL integrates research and applications to create proven solutions to today’s leadership development challenges.
As a member of the Global Research and Evaluation group at CCL you will work on several different projects related to the study and development of leadership. A primary focus of this position will be applying network science and analysis to aid CCL in its efforts to arrive at a deeper understanding of leadership and to advance leadership development and in applying research to CCL products and services.
Specific duties and responsibilities will vary, but may include: designing research studies, collecting and analyzing data, managing large databases, learning and executing statistical analyses, developing relationships with research collaborators and clients, writing for high-impact journals as well as CEO & managerial audiences, presenting findings to both scientific and practitioner audiences and, working with internal CCL teams to commercialize products and services.
Candidates should have completed their Ph.D. before May 31, 2019 in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, and Social Psychology) and have up to 5 years of industry experience. A strong methodological, statistical, and theoretical research background as well as past experience presenting at major academic or practitioner conferences are required. The ability to demonstrate knowledge of network science as well as its application to organizational and leadership effectiveness required. Experience leading research projects and publishing in leading academic journals is referred.
The position is available immediately and the start date is negotiable
General Summary
The Research Scientist is a member of the Global Research and Evaluation faculty who makes significant contributions to theories and practice in the fields of leadership, leadership development, or other relevant disciplines. This person is responsible for designing and managing research projects as well as generating innovative ideas and approaches for CCL. A research scientist conducts, interprets, and communicates complex data analysis; presents findings at internationally recognized/high impact/strategic professional conferences and publishes results in peer-reviewed, upper tier journals, books and book chapters, and practice-focused publications.
Principal Duties and Responsibilities
Identifies promising areas of research and in partnership with others at CCL and designs projects to answer important theoretical and practical questions.
Skillfully aligns research questions with appropriate methods (design, data collection, analyses).
Collects and analyzes data, learning and executing statistical analyses as needed; and protects the security and confidentiality of data collected and analyzed.
Independently and in collaboration with others develops and publishes manuscripts at high-impact scientific journals as well as and non-academic publications for a general business audience.
Serves as subject matter expert for network science and social network analysis. Initiates and maintains relationships with project stakeholders, internal and external collaborators, and clients.
Develops CCL staff/facility capability in network science.
Contributes to CCL’s portfolio and Leadership Analytics Practice. Creates new products or practices based on scientific evidence.
Offers recommendations and insights that drive stronger business outcomes. Addresses needs and concerns of sales teams and clients to ensure the integration of network analytics services into broader CCL solutions.
Identifies funding or revenue sources and proactively pursues opportunities. Works with sales and marketing to review costs, anticipate volume, and develop strategies and plans for network analytics services.
Presents and/or chairs sessions at leading scientific and professional conferences.
Education
Requires a Ph.D. in in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, Social Psychology, Communication Studies, Computer Science)
Experience/Work Background
Up to five years’ experience working in academia, corporate business, and/or organizational development fields.
Experience using network science, methods and analysis in research is required Experience with advanced statistical research methods is required.
Experience working in or consulting with corporations is desirable.
Specific Knowledge, Skills and Abilities Required
Exceptional knowledge of relevant content areas, including but not limited to the fields of management/leadership, organizational development, talent management, adult learning theory, and human resource development.
Effective presentation and interpersonal skills (for interaction with clients, participants, and staff).
Strong statistical skills and experience using statistical software required. Proficiency in R and Git strongly preferred.
Ability to perform successfully as a solo, team, or lead researcher across a range of projects.
Ability to work within a high-paced environment with competing demands while ensuring high-quality work by self and team.
Flexible, adaptable with clients, colleagues and organization needs.
Exceptional organizational and planning skills.
Ability to create research projects and programs using sound theory and research designs.
Some travel may be required for conferences and working with clients as part of ongoing research efforts.
Colgate University is committed to recruiting and retaining a talented diverse workforce and recognizes diversity is integral to the University's achievement of excellence, as it enhances the ability of the University to accomplish its academic mission and to foster a respectful, equitable work environment.
The University's Equal Opportunity (EEO)/Affirmative Action (AA) function affirms and promotes our commitment to equal opportunity and affirmative action and offers an exciting opportunity for an EEO/AA Data Analyst. Reporting to the Executive Director for EEO/AA, and Equity and Inclusion, this position will enhance the university's data management and data systems necessary for the University's EEO/AA federal regulatory and legal compliance.
This role will focus on data analysis related to equal employment opportunity, affirmative action, equity, and inclusion. It is accountable for:
organizing and automating procedures for ongoing data management
creating systems to analyze and reconcile workforce and personnel transaction data (either automated or manual), and where possible refining employment-related data sets
aggregating, analyzing, and compiling information relevant to EEO/AA and other diversity, equity, and inclusion initiatives.
assisting with the development and production of federally mandated EEO/AA related reports, such as the Vets2412 and the utilization and selection data of individuals with disabilities and protected veterans.
Creating detailed documentation of complex processes.
Professional Experience/Qualifications:
Bachelor's degree in a relevant area, or three years of relevant work experience, or a combination of education and relevant work experience.
Must be capable of working collegially with a diverse group of students, faculty, staff, and visitors on a daily basis.
Must demonstrate multicultural competence, active listening, critical thinking, and interpersonal skills.
Familiarity, or ability to quickly learn, functions of spreadsheets (e.g., Excel, Google Sheets).
Preferred Qualifications:
Knowledge of data concepts and automated production of reports.
Willingness to work with automated/digital and non-automated/digital data sets.
EEO/Statement:
It is the policy of Colgate University not to discriminate against any employee or applicant for employment on the basis of their race, color, creed, religion, age, sex, pregnancy, national origin, marital status, disability, protected Veterans status, sexual orientation, gender identity or expression, genetic information, being or having been victims of domestic violence or stalking, familial status, or any other categories covered by law. Colgate is an Equal Opportunity/Affirmative Action employer. Candidates from historically underrepresented groups, women, persons with disabilities, and protected veterans are encouraged to apply.
Jun 11, 2019
Full-time
Colgate University is committed to recruiting and retaining a talented diverse workforce and recognizes diversity is integral to the University's achievement of excellence, as it enhances the ability of the University to accomplish its academic mission and to foster a respectful, equitable work environment.
The University's Equal Opportunity (EEO)/Affirmative Action (AA) function affirms and promotes our commitment to equal opportunity and affirmative action and offers an exciting opportunity for an EEO/AA Data Analyst. Reporting to the Executive Director for EEO/AA, and Equity and Inclusion, this position will enhance the university's data management and data systems necessary for the University's EEO/AA federal regulatory and legal compliance.
This role will focus on data analysis related to equal employment opportunity, affirmative action, equity, and inclusion. It is accountable for:
organizing and automating procedures for ongoing data management
creating systems to analyze and reconcile workforce and personnel transaction data (either automated or manual), and where possible refining employment-related data sets
aggregating, analyzing, and compiling information relevant to EEO/AA and other diversity, equity, and inclusion initiatives.
assisting with the development and production of federally mandated EEO/AA related reports, such as the Vets2412 and the utilization and selection data of individuals with disabilities and protected veterans.
Creating detailed documentation of complex processes.
Professional Experience/Qualifications:
Bachelor's degree in a relevant area, or three years of relevant work experience, or a combination of education and relevant work experience.
Must be capable of working collegially with a diverse group of students, faculty, staff, and visitors on a daily basis.
Must demonstrate multicultural competence, active listening, critical thinking, and interpersonal skills.
Familiarity, or ability to quickly learn, functions of spreadsheets (e.g., Excel, Google Sheets).
Preferred Qualifications:
Knowledge of data concepts and automated production of reports.
Willingness to work with automated/digital and non-automated/digital data sets.
EEO/Statement:
It is the policy of Colgate University not to discriminate against any employee or applicant for employment on the basis of their race, color, creed, religion, age, sex, pregnancy, national origin, marital status, disability, protected Veterans status, sexual orientation, gender identity or expression, genetic information, being or having been victims of domestic violence or stalking, familial status, or any other categories covered by law. Colgate is an Equal Opportunity/Affirmative Action employer. Candidates from historically underrepresented groups, women, persons with disabilities, and protected veterans are encouraged to apply.
Are you looking for a new career in Finance and Operational Management? Do you have the drive to succeed in a fast-paced environment?
If so, the ARC Document Solutions (ARC) Financial Planning and Operations Analyst position is for you. Working with the Global Solutions Team at ARC will give you the unique opportunity to change the way work is done across a broad spectrum of industries. We're distinctive in the marketplace with our ability to deliver knowledge-based consulting solutions and implement those same solutions. The ARC Financial Planning and Operations Analyst position offers great opportunities for growth.
ARC is a global leader in document solutions, managed print solutions, and print-on-demand. The largest company of its kind in the world, ARC provides a suite of technology and services to address the needs of industries as varied as architecture, engineering, construction (AEC), advertising, technology, retail, financial services and entertainment. We manage the print services for some of the largest firms in the AEC industry that have a global footprint. The Company is publicly traded on the New York Stock Exchange (NYSE:ARC).
We are looking for an energetic self-starter to drive process improvement and spearhead forecast automation initiatives for the Global Services Team.Comfort in a highly dynamic business environment, excellent organization, communication and analytical skills, and a passion for data are key to success in this role.
This role will own the quality and development of our financial planning database and models, as well as provide recommendations on how to streamline team operations. At ARC, we trust you to collaborate with others, form intelligent opinions, and present your thoughts to decision-makers.
These are the things you get to do:
Manage financial forecast automation initiatives. Work with the Global Services team to document key forecast considerations, design requirements, and build, test and deploy dynamic forecasting tools
Gather and validate data to update various monthly, quarterly and yearly activity reports
Own and execute key initiatives in the Global Services project portfolio (ranging from building financial models, to automating variance reporting, cross-functional process improvement, and designing onboarding resources)
Work closely with Finance and business operations stakeholders to establish cross-functional processes that ensure data quality
Help enhance finance business intelligence (B.I.) dashboards and underlying data sources and data management processes
These things will help you to succeed here:
An enthusiastic “roll up your sleeves” mentality.
2-4 years of experience in corporate finance, consulting, or other analytical field. (B.S. in business administration, economics, or mathematics preferred)
Excellent verbal and written communication skills Excellent problem solving, investigative and documenting skills
Excellent follow up skills
Strong computer skills and MS Office skills (Excel, Access, Word, & PowerPoint)
Strong financial modeling and analytical capabilities
Prior experience in working with SAP Business Objects is a plus
We Offer:
Excellent Company support and resources
Excellent Company Reputation because we consistently receive 5-star customer reviews
Comprehensive Employee benefits that include full health, dental , vision and life insurance as well as a 401-K Plan with company matching
Employee Stock Purchase Plan allowing you to buy ARC stock on the NYSE at 15% BELOW street value
Management team that supports you and wants to see you be successful
Culture of caring for our employees
A variety of products to take to market unrivaled in the industry.
To all recruitment agencies:
ARC does not accept agency resumes. Please do not forward resumes to our Careers alias or other ARC employees. ARC is not responsible for any fees related to unsolicited resumes. pm18
PI110257849
May 24, 2019
Full-time
Are you looking for a new career in Finance and Operational Management? Do you have the drive to succeed in a fast-paced environment?
If so, the ARC Document Solutions (ARC) Financial Planning and Operations Analyst position is for you. Working with the Global Solutions Team at ARC will give you the unique opportunity to change the way work is done across a broad spectrum of industries. We're distinctive in the marketplace with our ability to deliver knowledge-based consulting solutions and implement those same solutions. The ARC Financial Planning and Operations Analyst position offers great opportunities for growth.
ARC is a global leader in document solutions, managed print solutions, and print-on-demand. The largest company of its kind in the world, ARC provides a suite of technology and services to address the needs of industries as varied as architecture, engineering, construction (AEC), advertising, technology, retail, financial services and entertainment. We manage the print services for some of the largest firms in the AEC industry that have a global footprint. The Company is publicly traded on the New York Stock Exchange (NYSE:ARC).
We are looking for an energetic self-starter to drive process improvement and spearhead forecast automation initiatives for the Global Services Team.Comfort in a highly dynamic business environment, excellent organization, communication and analytical skills, and a passion for data are key to success in this role.
This role will own the quality and development of our financial planning database and models, as well as provide recommendations on how to streamline team operations. At ARC, we trust you to collaborate with others, form intelligent opinions, and present your thoughts to decision-makers.
These are the things you get to do:
Manage financial forecast automation initiatives. Work with the Global Services team to document key forecast considerations, design requirements, and build, test and deploy dynamic forecasting tools
Gather and validate data to update various monthly, quarterly and yearly activity reports
Own and execute key initiatives in the Global Services project portfolio (ranging from building financial models, to automating variance reporting, cross-functional process improvement, and designing onboarding resources)
Work closely with Finance and business operations stakeholders to establish cross-functional processes that ensure data quality
Help enhance finance business intelligence (B.I.) dashboards and underlying data sources and data management processes
These things will help you to succeed here:
An enthusiastic “roll up your sleeves” mentality.
2-4 years of experience in corporate finance, consulting, or other analytical field. (B.S. in business administration, economics, or mathematics preferred)
Excellent verbal and written communication skills Excellent problem solving, investigative and documenting skills
Excellent follow up skills
Strong computer skills and MS Office skills (Excel, Access, Word, & PowerPoint)
Strong financial modeling and analytical capabilities
Prior experience in working with SAP Business Objects is a plus
We Offer:
Excellent Company support and resources
Excellent Company Reputation because we consistently receive 5-star customer reviews
Comprehensive Employee benefits that include full health, dental , vision and life insurance as well as a 401-K Plan with company matching
Employee Stock Purchase Plan allowing you to buy ARC stock on the NYSE at 15% BELOW street value
Management team that supports you and wants to see you be successful
Culture of caring for our employees
A variety of products to take to market unrivaled in the industry.
To all recruitment agencies:
ARC does not accept agency resumes. Please do not forward resumes to our Careers alias or other ARC employees. ARC is not responsible for any fees related to unsolicited resumes. pm18
PI110257849
General Purpose
Provides advice and counsel to management and client organizations. Conducts special studies and analyses, develops alternatives, presents recommendations to management and influences management decisions. Researches, analyzes, develops and implements new strategies, programs, and/or processes in response to changing internal and external conditions.
Responsibilities
Act as an expert on load research and the statistical rigor of sample design.
Process customer class loads for regulatory filings.
Gather, analyze and audit interval load data.
Audit business system data and implement processes to correct for inconsistencies.
Analyze business processes, conduct special studies, develop alternatives and present recommendations to management and influence management decisions.
Identify and recommend long-range asset data management and system improvements to strategically balance risk and reward.
Develop and recommend long range programs for load research studies.
Manage the budget process to ensure that all stakeholders have their needs met.
Report complex information in simple terms, and communicate throughout the organization.
Act as expert on maintaining integrity of metered interval load data.
Research and analyze relevant data, evaluate complex situations, develop creative alternatives, provide recommendations, and negotiate and influence outcomes.
Provide analytical support for state and federal regulatory proceedings.
Prepare responses to data requests in support of load research studies.
Requirements
Bachelor’s Degree in Statistics, Economics, Mathematics, Business Administration, or a related field; or the equivalent combination of education and experience.
A minimum of seven years of experience in an applicable field directly related to position responsibilities.
Program design skills including development of interventions, processes, or new or modified programs to meet customer needs.
Excellent communication and interpersonal skills involving the ability to establish trust, maintain confidence, and understand social behavior and interactions.
Ability to work with all organizational levels to influence actions and negotiate outcomes
Ability to listen and communicate effectively through oral and written means.
Proficient with the use of personal computers to gather, analyze, and summarize data.
Project management and leadership skills, including the ability to work as a team member, to maintain project timelines, budgets, and deliver on commitments.
Knowledge of research, analysis and consulting techniques, Company policies, procedures, practices, and applicable federal, state, and local governmental laws and regulations.
Preferences
Working knowledge of relational databases and statistical forecasting software, including Oracle Utilities Load Analysis (OULA), SAS, IBM Cognos, SAP Business Objects, and SQL.
Experience working with Advanced Metering Infrastructure (AMI) data
Previous utility operations experience in a load research role.
Previous supervisory or lead experience is desired
The ability to manage client and vendor relationships.
Additional Information
Primary Location: Portland
Department: Pacific Power
Schedule: Full-time
Personnel Subarea: Exempt
Hiring Range: 88,000.00 - 107,300.00
Employees must be able to perform the essential functions of the position with or without an accommodation.
At PacifiCorp, we encourage everyone to work together. We embrace diversity and value the distinct perspectives of all our employees. We strive to cultivate a workplace that connects each employee to the organization and enables all individuals to participate and contribute to their full potential.
It is PacifiCorp's policy to provide and promote equal employment opportunity to all employees and applicants in accordance with local, state and federal laws and regulations governing personnel activities. In accordance with federal guidelines, PacifiCorp is committed to a program of affirmative action. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, veteran status, national origin, sexual orientation or gender identity.
All offers of employment are contingent upon the successful completion of a background check and drug screening.
May 22, 2019
Full-time
General Purpose
Provides advice and counsel to management and client organizations. Conducts special studies and analyses, develops alternatives, presents recommendations to management and influences management decisions. Researches, analyzes, develops and implements new strategies, programs, and/or processes in response to changing internal and external conditions.
Responsibilities
Act as an expert on load research and the statistical rigor of sample design.
Process customer class loads for regulatory filings.
Gather, analyze and audit interval load data.
Audit business system data and implement processes to correct for inconsistencies.
Analyze business processes, conduct special studies, develop alternatives and present recommendations to management and influence management decisions.
Identify and recommend long-range asset data management and system improvements to strategically balance risk and reward.
Develop and recommend long range programs for load research studies.
Manage the budget process to ensure that all stakeholders have their needs met.
Report complex information in simple terms, and communicate throughout the organization.
Act as expert on maintaining integrity of metered interval load data.
Research and analyze relevant data, evaluate complex situations, develop creative alternatives, provide recommendations, and negotiate and influence outcomes.
Provide analytical support for state and federal regulatory proceedings.
Prepare responses to data requests in support of load research studies.
Requirements
Bachelor’s Degree in Statistics, Economics, Mathematics, Business Administration, or a related field; or the equivalent combination of education and experience.
A minimum of seven years of experience in an applicable field directly related to position responsibilities.
Program design skills including development of interventions, processes, or new or modified programs to meet customer needs.
Excellent communication and interpersonal skills involving the ability to establish trust, maintain confidence, and understand social behavior and interactions.
Ability to work with all organizational levels to influence actions and negotiate outcomes
Ability to listen and communicate effectively through oral and written means.
Proficient with the use of personal computers to gather, analyze, and summarize data.
Project management and leadership skills, including the ability to work as a team member, to maintain project timelines, budgets, and deliver on commitments.
Knowledge of research, analysis and consulting techniques, Company policies, procedures, practices, and applicable federal, state, and local governmental laws and regulations.
Preferences
Working knowledge of relational databases and statistical forecasting software, including Oracle Utilities Load Analysis (OULA), SAS, IBM Cognos, SAP Business Objects, and SQL.
Experience working with Advanced Metering Infrastructure (AMI) data
Previous utility operations experience in a load research role.
Previous supervisory or lead experience is desired
The ability to manage client and vendor relationships.
Additional Information
Primary Location: Portland
Department: Pacific Power
Schedule: Full-time
Personnel Subarea: Exempt
Hiring Range: 88,000.00 - 107,300.00
Employees must be able to perform the essential functions of the position with or without an accommodation.
At PacifiCorp, we encourage everyone to work together. We embrace diversity and value the distinct perspectives of all our employees. We strive to cultivate a workplace that connects each employee to the organization and enables all individuals to participate and contribute to their full potential.
It is PacifiCorp's policy to provide and promote equal employment opportunity to all employees and applicants in accordance with local, state and federal laws and regulations governing personnel activities. In accordance with federal guidelines, PacifiCorp is committed to a program of affirmative action. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, veteran status, national origin, sexual orientation or gender identity.
All offers of employment are contingent upon the successful completion of a background check and drug screening.
The Brand and Consumer Research Team of the Disney Channel Worldwide Consumer Insights department oversees brand, content, digital and strategy research projects for Disney Channel, Disney Junior, Disney XD, and Radio Disney. Working in close collaboration with the ratings and analytics team, the brand and consumer research team conducts qualitative and quantitative research with core consumers to inform and impact departments across the division, including Development, Programming, Marketing, Franchise, Digital and Strategy teams.
Responsibilities:
A day in the life… You will support research projects across Disney Channel, Disney XD, Disney Junior, and Radio Disney. Also assist department in fieldwork and execution of both qualitative and quantitative studies.
Help coordinate projects, act as a liaison with vendors, assist in data analyses, and proof reading and writing surveys, discussion guides and reports
Compile key insights from primary and syndicated studies to fulfill client requests
Utilize and mine various syndicated research studies for marketing and strategic purposes, as well as provide regular updates on topics to aid branding and marketing decisions
Gather data and perform analytics on time-sensitive projects
Create and edit presentations in a creative and executive friendly manner
Keep team informed on relevant landscape information - review/write summaries of syndicated reports, produce regular reports/memos on industry trends
Provide support for pilot test focus groups and other qualitative research (prepares stimulus, reviews pilots, takes notes)
Create and maintain department reference documents and files
Assist in organizing/maintaining department research library
Basic Qualifications:
What you bring to the role…
Proficient in Microsoft Excel and PowerPoint
Strong organization skills and attention to detail
Excellent verbal and written communication skills
Relationship builder, who excels in a collaborative environment
A curious nature and interest in Consumer Insights / Market Research
Ability to prioritize competing tasks
Experience gathering, analyzing, and interpreting data and reporting on the results
Preferred Qualifications:
Previous marketing research experience
Strong critical thinking and project management skills
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Business, Marketing, Sociology, Psychology or other related field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program
May 30, 2019
Internship
The Brand and Consumer Research Team of the Disney Channel Worldwide Consumer Insights department oversees brand, content, digital and strategy research projects for Disney Channel, Disney Junior, Disney XD, and Radio Disney. Working in close collaboration with the ratings and analytics team, the brand and consumer research team conducts qualitative and quantitative research with core consumers to inform and impact departments across the division, including Development, Programming, Marketing, Franchise, Digital and Strategy teams.
Responsibilities:
A day in the life… You will support research projects across Disney Channel, Disney XD, Disney Junior, and Radio Disney. Also assist department in fieldwork and execution of both qualitative and quantitative studies.
Help coordinate projects, act as a liaison with vendors, assist in data analyses, and proof reading and writing surveys, discussion guides and reports
Compile key insights from primary and syndicated studies to fulfill client requests
Utilize and mine various syndicated research studies for marketing and strategic purposes, as well as provide regular updates on topics to aid branding and marketing decisions
Gather data and perform analytics on time-sensitive projects
Create and edit presentations in a creative and executive friendly manner
Keep team informed on relevant landscape information - review/write summaries of syndicated reports, produce regular reports/memos on industry trends
Provide support for pilot test focus groups and other qualitative research (prepares stimulus, reviews pilots, takes notes)
Create and maintain department reference documents and files
Assist in organizing/maintaining department research library
Basic Qualifications:
What you bring to the role…
Proficient in Microsoft Excel and PowerPoint
Strong organization skills and attention to detail
Excellent verbal and written communication skills
Relationship builder, who excels in a collaborative environment
A curious nature and interest in Consumer Insights / Market Research
Ability to prioritize competing tasks
Experience gathering, analyzing, and interpreting data and reporting on the results
Preferred Qualifications:
Previous marketing research experience
Strong critical thinking and project management skills
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Business, Marketing, Sociology, Psychology or other related field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
We Are…
At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
The Walt Disney Television’s Social Analytics team tracks fan-driven and network-driven activity on social media to deliver insights that will inform programming, marketing, product, and sales strategies across the organization.
Responsibilities:
A day in the life… The Social Analytics Intern will collect and analyze social media data related to key Walt Disney Television series through the use of social listening and analytics tools. The intern will help identify trends and craft insights that inform important programming and marketing decisions.
Basic Qualifications:
What you bring to the role…
Social media savvy with proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, etc.
Superior written communication skills
Proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting data and reporting on the results
A curious nature and strong interest in the television industry
Strong organization skills and attention to detail
Relationship builder who excels in a collaborative environment
Proactive and able to balance multiple priorities in a fast-paced environment
Preferred Qualifications:
Familiarity with ABC and Freeform television series and talent
Previous internship experience in a related research and/or social analytics field
Experience using social listening or other text analytics tools
Experience crafting Boolean search queries
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Marketing, Research, Business, or other related field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program
May 30, 2019
Internship
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
We Are…
At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
The Walt Disney Television’s Social Analytics team tracks fan-driven and network-driven activity on social media to deliver insights that will inform programming, marketing, product, and sales strategies across the organization.
Responsibilities:
A day in the life… The Social Analytics Intern will collect and analyze social media data related to key Walt Disney Television series through the use of social listening and analytics tools. The intern will help identify trends and craft insights that inform important programming and marketing decisions.
Basic Qualifications:
What you bring to the role…
Social media savvy with proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, etc.
Superior written communication skills
Proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting data and reporting on the results
A curious nature and strong interest in the television industry
Strong organization skills and attention to detail
Relationship builder who excels in a collaborative environment
Proactive and able to balance multiple priorities in a fast-paced environment
Preferred Qualifications:
Familiarity with ABC and Freeform television series and talent
Previous internship experience in a related research and/or social analytics field
Experience using social listening or other text analytics tools
Experience crafting Boolean search queries
Required Education:
Sophomore, Junior, Senior (or recently graduated) with a Bachelor’s degree in Marketing, Research, Business, or other related field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 30 - 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program
Interning with the ABC News Research team gives a good idea of what it means to be an analyst in the television program research industry. Our team asks – What makes up the programs content? How does the production team format a program to best display content? Ultimately we hope to answer – How do these factors translate into ratings performance? And what segment of the population makes up a program’s audience? Our team works mostly with producers of ABC News program to best provide them with an accurate picture of how their programming performs.
Responsibilities:
A Day in the Life:
Analyzing audience data and maintaining program data
Creating, analyzing and distributing Daily Time Period Reports, Final Weekly Reports and Weekly Minute by Minute reports
Participating in News and Sales Development Intern Project
Basic Qualifications:
What You Bring to the Role:
Strong analytical and problem solving skills
Strong proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting large sets of data and reporting on the results
Demonstrated interest in News and/or Media
Strong time management and organization skills
Strong attention to detail and ability to prepare analyses under time sensitive deadlines
Excellent oral and written communication skills
Preferred Qualifications:
Proficiency in analysis of Nielsen data and use of software such as NPower, NNTV, and similar systems
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in News and/or Media
Required Education:
Junior, Senior (or recently graduated) with a Bachelor’s degree a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
May 30, 2019
Internship
Interning with the ABC News Research team gives a good idea of what it means to be an analyst in the television program research industry. Our team asks – What makes up the programs content? How does the production team format a program to best display content? Ultimately we hope to answer – How do these factors translate into ratings performance? And what segment of the population makes up a program’s audience? Our team works mostly with producers of ABC News program to best provide them with an accurate picture of how their programming performs.
Responsibilities:
A Day in the Life:
Analyzing audience data and maintaining program data
Creating, analyzing and distributing Daily Time Period Reports, Final Weekly Reports and Weekly Minute by Minute reports
Participating in News and Sales Development Intern Project
Basic Qualifications:
What You Bring to the Role:
Strong analytical and problem solving skills
Strong proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting large sets of data and reporting on the results
Demonstrated interest in News and/or Media
Strong time management and organization skills
Strong attention to detail and ability to prepare analyses under time sensitive deadlines
Excellent oral and written communication skills
Preferred Qualifications:
Proficiency in analysis of Nielsen data and use of software such as NPower, NNTV, and similar systems
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in News and/or Media
Required Education:
Junior, Senior (or recently graduated) with a Bachelor’s degree a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team is focused on leveraging best practices in data analytics to capture data, perform analysis and optimize our websites and call centers to drive Guest satisfaction and business outcomes. The Travel Operations Analytics Manager must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and has 1-3 direct reports.
Responsibilities:
Provide holistic analysis on performance of digital and call center activities for the Disneyland Resort
Direct and collaborate with other analysts to produce insights and recommendations for business partners
Mentor direct reports and help them to move forward in their careers
Manage the compilation and dissemination of regular (e.g., weekly, monthly, quarterly, etc.) reports on performance of the call center and digital channels
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements
Define project objectives, scope, plan, requirements and time lines
Manage day-to-day operational aspects of projects
Develop measurable success metrics and reporting for projects
Work with implementation specialists to validate website tracking
Support business unit teams, product management groups and other teams with ad hoc reporting and in-depth analysis
Basic Qualifications:
3+ years of analytics experience
Experience with Linux, SAS, SQL and/or Hive programming languages
2+ years of experience with web analytics tools, such as Adobe Analytics or Google Analytics
Experience building analytics models (e.g., forecasting, predictive models, etc.)
Proficient in Microsoft Office suite
Ability to excel in a fast-paced complex business environment
Demonstrated ability to champion projects from inception to implementation
Demonstrated strong leadership and partnering skills
Demonstrated proactive problem-solving and decision-making skills
Demonstrated strategic and creative thinking ability
Proven team player with the ability to guide and influence cross-functional teams
Preferred Qualifications:
5+ years of analytics experience
Travel industry and ecommerce experience
Proven experience in contact center analytics
Experience with A/B testing and website optimization
Proficiency in Linux, SAS, SQL and/or Hive programming languages
Proficiency in building analytics models (e.g., forecasting, predictive models, etc.)
Experience with business intelligence tools
Knowledge of web page construction and/or user experience design
Required Education:
Bachelor’s degree in a quantitative field (e.g., marketing, mathematics, statistics, economics, etc.)
May 26, 2019
Full-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team is focused on leveraging best practices in data analytics to capture data, perform analysis and optimize our websites and call centers to drive Guest satisfaction and business outcomes. The Travel Operations Analytics Manager must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and has 1-3 direct reports.
Responsibilities:
Provide holistic analysis on performance of digital and call center activities for the Disneyland Resort
Direct and collaborate with other analysts to produce insights and recommendations for business partners
Mentor direct reports and help them to move forward in their careers
Manage the compilation and dissemination of regular (e.g., weekly, monthly, quarterly, etc.) reports on performance of the call center and digital channels
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements
Define project objectives, scope, plan, requirements and time lines
Manage day-to-day operational aspects of projects
Develop measurable success metrics and reporting for projects
Work with implementation specialists to validate website tracking
Support business unit teams, product management groups and other teams with ad hoc reporting and in-depth analysis
Basic Qualifications:
3+ years of analytics experience
Experience with Linux, SAS, SQL and/or Hive programming languages
2+ years of experience with web analytics tools, such as Adobe Analytics or Google Analytics
Experience building analytics models (e.g., forecasting, predictive models, etc.)
Proficient in Microsoft Office suite
Ability to excel in a fast-paced complex business environment
Demonstrated ability to champion projects from inception to implementation
Demonstrated strong leadership and partnering skills
Demonstrated proactive problem-solving and decision-making skills
Demonstrated strategic and creative thinking ability
Proven team player with the ability to guide and influence cross-functional teams
Preferred Qualifications:
5+ years of analytics experience
Travel industry and ecommerce experience
Proven experience in contact center analytics
Experience with A/B testing and website optimization
Proficiency in Linux, SAS, SQL and/or Hive programming languages
Proficiency in building analytics models (e.g., forecasting, predictive models, etc.)
Experience with business intelligence tools
Knowledge of web page construction and/or user experience design
Required Education:
Bachelor’s degree in a quantitative field (e.g., marketing, mathematics, statistics, economics, etc.)
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities:
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices.
Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers).
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses.
The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Basic Qualifications:
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
May 22, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities:
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices.
Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers).
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses.
The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Basic Qualifications:
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
The project analyst will be responsible for establishing and maintaining planning, tracking, and indicator systems for Intel Federal supporting SDG teams and programs with the goal of improving long term visibility and predictability and enabling data driven decision making. In this role you will be interacting with multiple levels of management, integrating data from multiple domains to create a full product/portfolio level picture.
Job Requirements:
Ability to perform in a high pressure, detail oriented, environment with multiple weekly deadlines and time critical analyses. Good communication skills with the ability to present complex data and draw conclusions in an easily understandable way. Ability to proactively identify and drive solutions to complex problems. Impeccable integrity. Gathering and analyzing data, then spotting trends and recommending improvements. The successful candidate's responsibilities include tracking progress against plans, developing/publishing metrics dashboards and performing analyses in the areas of critical chain project management, technical indicators and risk management. The candidate will need to understand the technical concepts, systems, development methods and disciplines associated with the defined projects, apply the knowledge to deliverables and leverage it to accelerate project completion.
Qualifications:
You should possess a Bachelor's degree in Engineering or computer science and have 3-5 years' experience in project controls and/or project management or equivalent experience. Additional qualifications include:
Experience with project management processes and methodologies like TOC, Agile, Scrum, etc.
Experience with project management software such as MS Project or Prochain
Proven multi-level stakeholder management skills, and the ability to quickly build relationships with stakeholders at all levels
Strong analytical and problem solving skills
Ability to work independently and as a team member
Excellent communication skills at both technical and business levels
Flexibility and ability to work successfully in a dynamic team environment and cross site/globally
Excellent interpersonal skills
Proficient in Microsoft* Office* applications
Proficient in Excel* pivot tables, formulas, and VBA*, PowerPivot, BI and SQL databases
English written and spoken
Experience in, and knowledge of, new product development processes (Si design and post si) and product 1lifecycles (IP & SOC)
This is an Intel Federal Position
This position involves work on a U.S. Government contract which may impose certain security requirements. The government may require that you certify your citizenship status. If you are not a U.S. citizen, the government may require you to pass a security check before you can be approved to work on the project. Please note that any offer by Intel for this position is conditioned upon meeting and/or passing the U.S. Government's security check requirements should the government impose these requirements.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
May 03, 2019
Full-time
The project analyst will be responsible for establishing and maintaining planning, tracking, and indicator systems for Intel Federal supporting SDG teams and programs with the goal of improving long term visibility and predictability and enabling data driven decision making. In this role you will be interacting with multiple levels of management, integrating data from multiple domains to create a full product/portfolio level picture.
Job Requirements:
Ability to perform in a high pressure, detail oriented, environment with multiple weekly deadlines and time critical analyses. Good communication skills with the ability to present complex data and draw conclusions in an easily understandable way. Ability to proactively identify and drive solutions to complex problems. Impeccable integrity. Gathering and analyzing data, then spotting trends and recommending improvements. The successful candidate's responsibilities include tracking progress against plans, developing/publishing metrics dashboards and performing analyses in the areas of critical chain project management, technical indicators and risk management. The candidate will need to understand the technical concepts, systems, development methods and disciplines associated with the defined projects, apply the knowledge to deliverables and leverage it to accelerate project completion.
Qualifications:
You should possess a Bachelor's degree in Engineering or computer science and have 3-5 years' experience in project controls and/or project management or equivalent experience. Additional qualifications include:
Experience with project management processes and methodologies like TOC, Agile, Scrum, etc.
Experience with project management software such as MS Project or Prochain
Proven multi-level stakeholder management skills, and the ability to quickly build relationships with stakeholders at all levels
Strong analytical and problem solving skills
Ability to work independently and as a team member
Excellent communication skills at both technical and business levels
Flexibility and ability to work successfully in a dynamic team environment and cross site/globally
Excellent interpersonal skills
Proficient in Microsoft* Office* applications
Proficient in Excel* pivot tables, formulas, and VBA*, PowerPivot, BI and SQL databases
English written and spoken
Experience in, and knowledge of, new product development processes (Si design and post si) and product 1lifecycles (IP & SOC)
This is an Intel Federal Position
This position involves work on a U.S. Government contract which may impose certain security requirements. The government may require that you certify your citizenship status. If you are not a U.S. citizen, the government may require you to pass a security check before you can be approved to work on the project. Please note that any offer by Intel for this position is conditioned upon meeting and/or passing the U.S. Government's security check requirements should the government impose these requirements.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
