Are you passionate about technology? Do you get excited at the thought of providing technology that helps produce the best possible experience for our Cast Members? As the Web Design and Analytics intern, you will be part of a cutting-edge organization supporting Walt Disney Parks and Resorts Public Affairs with web, technology and analytics. The technologies we support are used by tens of thousands of people every day to find valuable information and help them do their job. In addition, you will be kicking off your career with an internship in the place where dreams come true. Responsibilities :
Post content to WDPR intranet, ensuring sites are up-to-date
Assist with website analytics reporting and communication
Provide technology support for WDPR Public Affairs including web, CMS and Intranet
Assist in development and execution of plans that support WDPR Public Affairs web technology
Provide testing support and bug report/feedback as needed
Manage intranet feedback for WDPR
Assist with content audits to ensure web content meets guidelines and standards
Basic Qualifications :
Previous experience in web design and/or development
Demonstrated ability to partner with other departments and support the technology based tools they utilize
Knowledge of web technologies, including proficiency in HTML and CSS
Ability to translate end-user business need to IT using technology acumen
Strong troubleshooting skills
Familiarization with posting content for the web
Must be available to work full-time from January 2020—June 2020 Preferred Qualifications:
Proven self-starter with the ability to balance multiple projects
Demonstrated computer proficiency with a Mac environment
Understanding of Adobe Photoshop, Dreamweaver & Illustrator
Web analytics and reporting, including the ability to communicate metrics and navigate partners through data
Understanding of web image optimization
Required Education :
Currently enrolled as a Junior or higher pursuing (or recently graduated with) an undergraduate degree from an accredited college/university in Computer Science, Informatics, Web Design, or a related major
Must have a minimum cumulative G.P.A. of 3.0 or higher
Additional Information :
Application Process:
Complete the online application, which verifies your eligibility for the internship.
Upload the following to your profile/application:
Cover Letter
The cover letter should include a statement explaining your career goals and provide an overview of your skills.
Transcripts
The transcripts can be either official or unofficial.
To be considered, you must complete the online application and submit your cover letter, resume, and transcripts for review. Incomplete submissions will not be considered.
Sep 11, 2019
Internship
Are you passionate about technology? Do you get excited at the thought of providing technology that helps produce the best possible experience for our Cast Members? As the Web Design and Analytics intern, you will be part of a cutting-edge organization supporting Walt Disney Parks and Resorts Public Affairs with web, technology and analytics. The technologies we support are used by tens of thousands of people every day to find valuable information and help them do their job. In addition, you will be kicking off your career with an internship in the place where dreams come true. Responsibilities :
Post content to WDPR intranet, ensuring sites are up-to-date
Assist with website analytics reporting and communication
Provide technology support for WDPR Public Affairs including web, CMS and Intranet
Assist in development and execution of plans that support WDPR Public Affairs web technology
Provide testing support and bug report/feedback as needed
Manage intranet feedback for WDPR
Assist with content audits to ensure web content meets guidelines and standards
Basic Qualifications :
Previous experience in web design and/or development
Demonstrated ability to partner with other departments and support the technology based tools they utilize
Knowledge of web technologies, including proficiency in HTML and CSS
Ability to translate end-user business need to IT using technology acumen
Strong troubleshooting skills
Familiarization with posting content for the web
Must be available to work full-time from January 2020—June 2020 Preferred Qualifications:
Proven self-starter with the ability to balance multiple projects
Demonstrated computer proficiency with a Mac environment
Understanding of Adobe Photoshop, Dreamweaver & Illustrator
Web analytics and reporting, including the ability to communicate metrics and navigate partners through data
Understanding of web image optimization
Required Education :
Currently enrolled as a Junior or higher pursuing (or recently graduated with) an undergraduate degree from an accredited college/university in Computer Science, Informatics, Web Design, or a related major
Must have a minimum cumulative G.P.A. of 3.0 or higher
Additional Information :
Application Process:
Complete the online application, which verifies your eligibility for the internship.
Upload the following to your profile/application:
Cover Letter
The cover letter should include a statement explaining your career goals and provide an overview of your skills.
Transcripts
The transcripts can be either official or unofficial.
To be considered, you must complete the online application and submit your cover letter, resume, and transcripts for review. Incomplete submissions will not be considered.
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Position highlights include opportunities to accomplish the following:
Responsibilities:
Data Analysis and Data Mining (40%)
Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights
Provide high-confidence-level forecasts that allow the business to make informed decisions
Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies
Report, Dashboard and Scorecard Creation (40%)
Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action
Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices.
Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified.
Become an established Subject Matter Expert within the Organization (20%)
Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion;
Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue
Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation
Performance Objectives
First 1-3 months
Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular.
Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau.
Demonstrate basic understanding of the advancement data warehouse.
First 3-6 months
Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising.
Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau.
Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports.
First 12 months
Demonstrate intermediate knowledge and understanding of the higher education advancement industry.
Assume analysis responsibility for monthly fundraising performance analysis.
Assume business evolution responsibility for monthly reports and the fundraising dashboard.
Why Join Ohio State Advancement Now?
In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about Advancement Reporting and Analytics
Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach.
Experience Requirements
The selected candidate for this position must have demonstrated success in several areas, including:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
5 years’ experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
2 years of experience visualizing and presenting data.
Desired requirements include:
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines.
Experience in the non-profit fundraising space.
Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
2 years of project management/consulting experience.
Experience working in an Agile SCRUM environment.
2 years’ experience building dashboards.
2 years of experience conducting forecasting models.
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
How to Apply
Please click the "Apply Now" button on this page to find out more about University Advancement and apply online.
Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .
Sep 08, 2019
Full-time
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Position highlights include opportunities to accomplish the following:
Responsibilities:
Data Analysis and Data Mining (40%)
Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights
Provide high-confidence-level forecasts that allow the business to make informed decisions
Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies
Report, Dashboard and Scorecard Creation (40%)
Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action
Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices.
Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified.
Become an established Subject Matter Expert within the Organization (20%)
Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion;
Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue
Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation
Performance Objectives
First 1-3 months
Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular.
Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau.
Demonstrate basic understanding of the advancement data warehouse.
First 3-6 months
Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising.
Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau.
Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports.
First 12 months
Demonstrate intermediate knowledge and understanding of the higher education advancement industry.
Assume analysis responsibility for monthly fundraising performance analysis.
Assume business evolution responsibility for monthly reports and the fundraising dashboard.
Why Join Ohio State Advancement Now?
In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about Advancement Reporting and Analytics
Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach.
Experience Requirements
The selected candidate for this position must have demonstrated success in several areas, including:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
5 years’ experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
2 years of experience visualizing and presenting data.
Desired requirements include:
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines.
Experience in the non-profit fundraising space.
Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
2 years of project management/consulting experience.
Experience working in an Agile SCRUM environment.
2 years’ experience building dashboards.
2 years of experience conducting forecasting models.
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
How to Apply
Please click the "Apply Now" button on this page to find out more about University Advancement and apply online.
Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .
Consumer Research Scientist (Seafood) Drive the research behind our efforts to promote sustainable seafood
The Good Food Institute (GFI) is at the forefront of the movement to use food technology and markets to solve some of the world’s biggest problems, from climate change and global hunger to antibiotic resistance and the exploitation of billions of animals annually.
How You Will Make a Difference
In this role, you will have the opportunity to design and implement key consumer research projects, the results of which will help to accelerate the development and commercialization of plant-based and cell-based seafood. The Consumer Research Scientist (Seafood) will be responsible for:
Designing a prioritized consumer research plan for understanding consumer trends around plant-based and cell-based seafood.
Leading the implementation of key consumer research projects related to plant-based and cell-based seafood.
Working with external partners on collaborative consumer research opportunities.
Developing compelling communications materials and reports explaining study results.
Presenting key research findings at relevant conferences and events.
Performing other duties as assigned.
Who We’re Looking For
The Consumer Research Scientist (Seafood) must have:
A master’s degree in a relevant social science field is preferred (e.g., communication, psychology, sociology, behavioral science). We will also consider candidates with a bachelor’s degree with relevant experience at a market research company.
Relevant research experience, proficiency with quantitative social science research methods, and knowledge of prescriptive and inferential statistics.
Proficiency with SPSS or other data analysis software.
Excellent oral and written communication skills.
The ability to maintain an organized, efficient, and accurate workflow.
Comfort working remotely and in a rapidly growing and evolving organization.
Strong support for GFI’s philosophy and mission; demonstrated interest in public health, environmentalism, animal protection, or hunger relief.
We want the best people and we don’t want biases holding us back. We strongly encourage people of every color, orientation, age, gender, origin, and ability to apply. Because we value a diverse workplace, we prioritize an inclusive climate absent of discrimination and harassment during the application process and after you join the team.
The Fine Print
Terms of employment: Full-time, exempt
Reports to: Keri Szejda, Senior Consumer Research Scientist
Location: Remote; United States
Benefits: Working from home, full medical coverage, optional dental and vision packages, a 401(k) retirement plan with employer match, flexible holiday and vacation plans, opportunity for advancement, respectful managers, and supportive colleagues.
This is a U.S.-based position: We are only able to consider applicants who are United States citizens or who already possess a United States Worker Visa.
Salary: $45,000-$60,000
Application Deadline: September 29, 2019
Sep 05, 2019
Full-time
Consumer Research Scientist (Seafood) Drive the research behind our efforts to promote sustainable seafood
The Good Food Institute (GFI) is at the forefront of the movement to use food technology and markets to solve some of the world’s biggest problems, from climate change and global hunger to antibiotic resistance and the exploitation of billions of animals annually.
How You Will Make a Difference
In this role, you will have the opportunity to design and implement key consumer research projects, the results of which will help to accelerate the development and commercialization of plant-based and cell-based seafood. The Consumer Research Scientist (Seafood) will be responsible for:
Designing a prioritized consumer research plan for understanding consumer trends around plant-based and cell-based seafood.
Leading the implementation of key consumer research projects related to plant-based and cell-based seafood.
Working with external partners on collaborative consumer research opportunities.
Developing compelling communications materials and reports explaining study results.
Presenting key research findings at relevant conferences and events.
Performing other duties as assigned.
Who We’re Looking For
The Consumer Research Scientist (Seafood) must have:
A master’s degree in a relevant social science field is preferred (e.g., communication, psychology, sociology, behavioral science). We will also consider candidates with a bachelor’s degree with relevant experience at a market research company.
Relevant research experience, proficiency with quantitative social science research methods, and knowledge of prescriptive and inferential statistics.
Proficiency with SPSS or other data analysis software.
Excellent oral and written communication skills.
The ability to maintain an organized, efficient, and accurate workflow.
Comfort working remotely and in a rapidly growing and evolving organization.
Strong support for GFI’s philosophy and mission; demonstrated interest in public health, environmentalism, animal protection, or hunger relief.
We want the best people and we don’t want biases holding us back. We strongly encourage people of every color, orientation, age, gender, origin, and ability to apply. Because we value a diverse workplace, we prioritize an inclusive climate absent of discrimination and harassment during the application process and after you join the team.
The Fine Print
Terms of employment: Full-time, exempt
Reports to: Keri Szejda, Senior Consumer Research Scientist
Location: Remote; United States
Benefits: Working from home, full medical coverage, optional dental and vision packages, a 401(k) retirement plan with employer match, flexible holiday and vacation plans, opportunity for advancement, respectful managers, and supportive colleagues.
This is a U.S.-based position: We are only able to consider applicants who are United States citizens or who already possess a United States Worker Visa.
Salary: $45,000-$60,000
Application Deadline: September 29, 2019
The Hydro Data Analyst will design, develop, enhance and utilize advanced data analytics, business intelligence information, and business processes to enable the District to build and sustain a ‘best in industry’ data-driven decision making environment, supporting a culture of continuous learning.
Essential Functions Include:
Work and Outage Reporting, Communications & Collaboration - Regularly coordinate with Generation Operations and Maintenance work groups, Project Management, Asset Management, and the Generation Business office to ensure the information from various budgeting, scheduling and planning systems are up to date and accurate. Coordinates mid and long term scheduling activities and assists with plan development to achieve strategic goals. Identifies over or under utilization of resources and communicates potential conflicts of resource allocations, work sequencing objectives and priorities to divisional management and other internal service providers.
Data Analytics - Design, develop, enhance and use advanced data analytics and tools to meet customer and business decision-making needs. Analyze complex data and related information and formulate a wide range of insights. Draw conclusions and recommend new or changes to existing analytics. Perform research & analysis on data analytics practices and techniques. Be a data and analytics resource for special projects, client requests and reports requiring analytics. May programmatically evaluate noisy data and develop automated analytics processes; explore data sources, processes, uses and definition and clean, process and translate data into model designs that are tested, refined, moved to production and maintained. Perform ad-hoc requests as assigned and make recommendations to management related to strategy and operations insights.
Business Intelligence - Collaborate, design, develop, implement and troubleshoot new and existing business intelligence reporting tools. Identify data-driven information, metrics and reporting needs and requirements. Seek opportunities for stakeholders to utilize data analytics and business intelligence tools to enhance District’s capabilities in being a data-driven organization. Test and validate tools and data for accuracy. Conduct quality assurance checks, create recurring reports and develop reporting dashboards. Sr. level leads discussions with the Data Analytics and Business Intelligence core team.
Reporting, Communications & Collaboration - Build and maintain strong collaborative working relationships. Provide regular progress updates and feedback to management and customers. Leverage internal subject matter expertise. Train and coach users of business intelligence and data analytics tools. Perform complex ad-hoc requests, including data analytics, reporting needs, and process improvements and automations. Make written and verbal recommendations to management to provide ongoing insight into strategy and operations.
Project & People Leadership - Participates on project teams. May lead data analytics, business intelligence initiative, or research efforts. Provide training and guidance to junior level staff. Sr. level fosters strong collaborative working relationships with members of cross-functional teams and internal stakeholders, prioritizing and resolving roadblocks, and seeking ways to improve methods for utilization of data analytics and business intelligence.
Qualifications:
The qualifications listed below are representative of those required, but reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Post-Secondary Education:
Bachelor’s degree (B.S., B.A. from a college or university) in mathematics, business, information technology, management information systems, or related field or equivalent combination of education and experience.
Master’s Degree preferred.
Experience:
This position typically requires a minimum of four (4) years progressively responsible experience in a data analytics or business intelligence role with demonstrate examples of designing, developing and implementing all of the following: Technology solutions to support user needs; complex data analytics; corporate performance reporting, and dashboards.
Pursuant to the North American Electric Reliability Corporation (NERC) standards, Chelan County Public Utility District #1 conducts background screening of personnel who have access to the District's critical physical and/or cyber assets.
Compensation & Benefits
The position will be filled at Level II or Senior based on an incumbent's qualifications, skills and abilities. In addition to a competitive salary range of $73,760 - $92,200 (level II) and $90,480 - $113,100 (Senior), Chelan PUD employees also enjoy outstanding benefits which include the option of a zero cost medical plan (medical, dental and vision for all eligible dependents), short and long-term disability, Washington State Public Employee's Retirement System, Deferred Compensation (with company matching funds up to 5%), 11 holidays and initial personal leave accrual at 21 days per year.
About Us
Chelan County PUD is located in the geographical center of Washington State at the confluence of the Columbia and Wenatchee rivers. A public power leader, the complex and progressive nature of PUD operations offer a unique mix of challenges and opportunities.
We rely on the mighty Columbia River for much of our hydropower generation and we're proud to take a leadership role in environmental stewardship as related to this great river system. Each year we dedicate millions of dollars and thousands of work hours to protect and enhance fish, wildlife and plant ecosystems. As part of hydropower operations, we've also built 14 parks that serve more than 3 million visitors each year.
Rated by Sunset Magazine as one of the top 20 Western DREAM TOWNS and by Forbes in 2017 as one of the top 25 places to retire, Wenatchee is a recreational paradise with an abundance of adventure. The natural scenic beauty of the Wenatchee Valley provides a vivid backdrop to its thriving economy, where the quality of life is high and the climate is moderate with four distinct seasons, including more than 200 days of sunshine!
Chelan PUD is an Affirmative Action/Equal Opportunity Employer and values diversity at all levels of its workforce. M/F/Vet/Disabled
Aug 28, 2019
Full-time
The Hydro Data Analyst will design, develop, enhance and utilize advanced data analytics, business intelligence information, and business processes to enable the District to build and sustain a ‘best in industry’ data-driven decision making environment, supporting a culture of continuous learning.
Essential Functions Include:
Work and Outage Reporting, Communications & Collaboration - Regularly coordinate with Generation Operations and Maintenance work groups, Project Management, Asset Management, and the Generation Business office to ensure the information from various budgeting, scheduling and planning systems are up to date and accurate. Coordinates mid and long term scheduling activities and assists with plan development to achieve strategic goals. Identifies over or under utilization of resources and communicates potential conflicts of resource allocations, work sequencing objectives and priorities to divisional management and other internal service providers.
Data Analytics - Design, develop, enhance and use advanced data analytics and tools to meet customer and business decision-making needs. Analyze complex data and related information and formulate a wide range of insights. Draw conclusions and recommend new or changes to existing analytics. Perform research & analysis on data analytics practices and techniques. Be a data and analytics resource for special projects, client requests and reports requiring analytics. May programmatically evaluate noisy data and develop automated analytics processes; explore data sources, processes, uses and definition and clean, process and translate data into model designs that are tested, refined, moved to production and maintained. Perform ad-hoc requests as assigned and make recommendations to management related to strategy and operations insights.
Business Intelligence - Collaborate, design, develop, implement and troubleshoot new and existing business intelligence reporting tools. Identify data-driven information, metrics and reporting needs and requirements. Seek opportunities for stakeholders to utilize data analytics and business intelligence tools to enhance District’s capabilities in being a data-driven organization. Test and validate tools and data for accuracy. Conduct quality assurance checks, create recurring reports and develop reporting dashboards. Sr. level leads discussions with the Data Analytics and Business Intelligence core team.
Reporting, Communications & Collaboration - Build and maintain strong collaborative working relationships. Provide regular progress updates and feedback to management and customers. Leverage internal subject matter expertise. Train and coach users of business intelligence and data analytics tools. Perform complex ad-hoc requests, including data analytics, reporting needs, and process improvements and automations. Make written and verbal recommendations to management to provide ongoing insight into strategy and operations.
Project & People Leadership - Participates on project teams. May lead data analytics, business intelligence initiative, or research efforts. Provide training and guidance to junior level staff. Sr. level fosters strong collaborative working relationships with members of cross-functional teams and internal stakeholders, prioritizing and resolving roadblocks, and seeking ways to improve methods for utilization of data analytics and business intelligence.
Qualifications:
The qualifications listed below are representative of those required, but reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Post-Secondary Education:
Bachelor’s degree (B.S., B.A. from a college or university) in mathematics, business, information technology, management information systems, or related field or equivalent combination of education and experience.
Master’s Degree preferred.
Experience:
This position typically requires a minimum of four (4) years progressively responsible experience in a data analytics or business intelligence role with demonstrate examples of designing, developing and implementing all of the following: Technology solutions to support user needs; complex data analytics; corporate performance reporting, and dashboards.
Pursuant to the North American Electric Reliability Corporation (NERC) standards, Chelan County Public Utility District #1 conducts background screening of personnel who have access to the District's critical physical and/or cyber assets.
Compensation & Benefits
The position will be filled at Level II or Senior based on an incumbent's qualifications, skills and abilities. In addition to a competitive salary range of $73,760 - $92,200 (level II) and $90,480 - $113,100 (Senior), Chelan PUD employees also enjoy outstanding benefits which include the option of a zero cost medical plan (medical, dental and vision for all eligible dependents), short and long-term disability, Washington State Public Employee's Retirement System, Deferred Compensation (with company matching funds up to 5%), 11 holidays and initial personal leave accrual at 21 days per year.
About Us
Chelan County PUD is located in the geographical center of Washington State at the confluence of the Columbia and Wenatchee rivers. A public power leader, the complex and progressive nature of PUD operations offer a unique mix of challenges and opportunities.
We rely on the mighty Columbia River for much of our hydropower generation and we're proud to take a leadership role in environmental stewardship as related to this great river system. Each year we dedicate millions of dollars and thousands of work hours to protect and enhance fish, wildlife and plant ecosystems. As part of hydropower operations, we've also built 14 parks that serve more than 3 million visitors each year.
Rated by Sunset Magazine as one of the top 20 Western DREAM TOWNS and by Forbes in 2017 as one of the top 25 places to retire, Wenatchee is a recreational paradise with an abundance of adventure. The natural scenic beauty of the Wenatchee Valley provides a vivid backdrop to its thriving economy, where the quality of life is high and the climate is moderate with four distinct seasons, including more than 200 days of sunshine!
Chelan PUD is an Affirmative Action/Equal Opportunity Employer and values diversity at all levels of its workforce. M/F/Vet/Disabled
At Disney, we are 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. The Disney Parks Experiences & Products ( DPEP ) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Also through our award-winning websites, we provide a digital portal to magical travel destinations such as the Walt Disney World® Resort in Florida, the Disneyland® Resort in California, Disney Cruise Line, Disneyland Paris, Hong Kong Disneyland Resort and Shanghai Disney Resort. DPEP Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges.
Responsibilities :
This intern could be expected to work on engineering and ingestion of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. The intern could also work with data scientists to develop and operationalize data used by multiple machine learning models, work on creating an automated monitoring process and reporting on the critical alerts and/or be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team.
Basic Qualifications :
What you bring…
Strong understanding of Computer Science fundamentals
Strong understanding of Data Lake, Big Data, Hadoop concepts.
Strong understanding of Data Security concepts.
Developer skills in Java and Python.
SQL experience/knowledge
Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFI and/or similar technologies
Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
Solid grounding in data science and information management disciplines
Understanding of Linux operating system and networking fundamentals.
Problem solving and analysis skills
Excellent written, verbal, interpersonal communication and time management skills
Preferred Qualifications:
NiFi experience/knowledge
Numpy experience/knowledge
Pandas experience/knowledge
Python experience/knowledge
Scala experience/knowledge
Database experience such as MySQL, NoSQL, etc...
Preferred Education :
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information :
Internship Eligibility:
Must be enrolled in an accredited 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 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
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are Beginning of January 2020- Beginning of May 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
Aug 28, 2019
Internship
At Disney, we are 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. The Disney Parks Experiences & Products ( DPEP ) Technology team combines custom technology solutions with creativity to produce robust applications that enhance all aspects of the guest experience. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Also through our award-winning websites, we provide a digital portal to magical travel destinations such as the Walt Disney World® Resort in Florida, the Disneyland® Resort in California, Disney Cruise Line, Disneyland Paris, Hong Kong Disneyland Resort and Shanghai Disney Resort. DPEP Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges.
Responsibilities :
This intern could be expected to work on engineering and ingestion of multiple data flows/pipelines from on-prem to BigData Hadoop platform in Cloud. They will work on developing workflows to move, transform, store and consume the data using BigData/Hadoop technologies. They will work on deploying various application code/modules on the platform and verifying the executions. The intern could also work with data scientists to develop and operationalize data used by multiple machine learning models, work on creating an automated monitoring process and reporting on the critical alerts and/or be working on data analysis and analytics design pattern experience and be effective at developing solutions as part of project team.
Basic Qualifications :
What you bring…
Strong understanding of Computer Science fundamentals
Strong understanding of Data Lake, Big Data, Hadoop concepts.
Strong understanding of Data Security concepts.
Developer skills in Java and Python.
SQL experience/knowledge
Familiarity with AWS, HDFS/Hive, Spark/Scala, NiFI and/or similar technologies
Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
Solid grounding in data science and information management disciplines
Understanding of Linux operating system and networking fundamentals.
Problem solving and analysis skills
Excellent written, verbal, interpersonal communication and time management skills
Preferred Qualifications:
NiFi experience/knowledge
Numpy experience/knowledge
Pandas experience/knowledge
Python experience/knowledge
Scala experience/knowledge
Database experience such as MySQL, NoSQL, etc...
Preferred Education :
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field. Additional Information :
Internship Eligibility:
Must be enrolled in an accredited 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 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
Must provide full work availability
Must provide own transportation to/from work
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 Length: The approximate dates of this internship are Beginning of January 2020- Beginning of May 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
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)
Basic Qualifications :
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.
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.
Aug 31, 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)
Basic Qualifications :
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.
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.
Analytics Engineering Internship, Spring 2020 – Burbank, CA The Disney Parks, Experiences and Consumer Products Decision Science & Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences and Consumer Products. DDSI leverages technology, data analytics, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
Make an impact by... Supporting the development of advanced analytic products and decision systems for Disney Studios. The interns help in this process by:
Developing software tools in Spark for validation, diagnostics, and evaluation of analytic pipelines
Collecting, preparing, and analyzing data using Spark, Python, and SQL
Performing validation of analytic processes and root-cause analysis to explain anomalies
Executing software tests, tracking bugs, and creating reports that summarize results
Developing and maintaining technical system documentation
Performing industry research and benchmark analysis
Basic Qualifications :
What You Bring to the Role...
Demonstrated strong problem solving, development, and analytical skills
Experience with Python, R, or Matlab
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Strong attention to detail
Experience performing data manipulations using SQL
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Preferred Qualifications:
Experience implementing analytical processes
Previous work experience in software or analytics team
Proficiency with Python
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Computer Science, Engineering, Mathematics or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in in Computer Science, Engineering, Mathematics or a related quantitative field
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 January 2020 through June 2020. 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.
Aug 20, 2019
Internship
Analytics Engineering Internship, Spring 2020 – Burbank, CA The Disney Parks, Experiences and Consumer Products Decision Science & Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences and Consumer Products. DDSI leverages technology, data analytics, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
Make an impact by... Supporting the development of advanced analytic products and decision systems for Disney Studios. The interns help in this process by:
Developing software tools in Spark for validation, diagnostics, and evaluation of analytic pipelines
Collecting, preparing, and analyzing data using Spark, Python, and SQL
Performing validation of analytic processes and root-cause analysis to explain anomalies
Executing software tests, tracking bugs, and creating reports that summarize results
Developing and maintaining technical system documentation
Performing industry research and benchmark analysis
Basic Qualifications :
What You Bring to the Role...
Demonstrated strong problem solving, development, and analytical skills
Experience with Python, R, or Matlab
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Strong attention to detail
Experience performing data manipulations using SQL
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Preferred Qualifications:
Experience implementing analytical processes
Previous work experience in software or analytics team
Proficiency with Python
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Computer Science, Engineering, Mathematics or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in in Computer Science, Engineering, Mathematics or a related quantitative field
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 January 2020 through June 2020. 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.
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
