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
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business. In this position, you will report to the Senior Manager, Visitation and Pricing Insight, for translating consumer insight into actionable, business-driving strategies through critical interpretation of data, active collaboration with CIMA functions (CI, Analytics, Optimization, Foresight) and multifunctional partners (Commercial, Pricing, Marketing, Sales) to help shape the future of the business. Serve as a critical thought partner on complex business issues; deliver insightful consumer, competitive and marketplace analyses. Responsibilities :
Under the direction of Senior Manager, Visitation and Pricing Insight, this position is responsible for providing breakthrough consumer and Guest insight and thought leadership to drive business strategies as part of a fast paced, dynamic environment. Leads primary research, utilizes secondary sources, and collaborates with research teams and key stakeholders to support business & pricing initiatives, and actively place consumer insight at the heart of decision making. Requires collaboration with a spectrum of cross-functional teams to synthesize complex data points and create compelling communications that drive positive business results. Requires strong analytical skills to uncover hidden relationships in data and perform root cause analysis, with proven success at performing statistical analysis. Uses advanced analytics, knowledge and experience to translate learnings into compelling recommendations to senior executives.
Leads Consumer Insight pricing research efforts as the key contact for partners and project manager overseeing one analyst and acting as a secondary resource to support visitation research
Manages all phases of market research from beginning to end
Analyze, integrate and synthesize Consumer Insight data and other sources, as needed, to inform business decisions
Create succinct communications that frame insight and opportunities for leadership
Foster relationships with external and internal partners, including multiple levels of executives, building influence
Mentor other members of the team in data mining, SAS, Tableau, weighting of survey data, advanced and predictive analytics
Basic Qualifications :
Hands-on researcher with 5+ years of research experience, including both quantitative and qualitative, data mining, business analytics, strategic planning, commercial development or similar field
Demonstrated expertise with primary and secondary research methodologies and performing statistical analysis with survey data
Hands-on experience with SAS and SPSS
In-depth knowledge of Tableau and demonstrated expertise building dashboards
In-depth knowledge of Excel and demonstrated expertise of PowerPoint
Demonstrated understanding of economic indicators, travel industry, financial results, price elasticity and business performance metrics
Critical thinker, able to sort through complex business issues to develop research plans. Able to think out of the box and willing to try different research approaches
Able to conceptualize and build an analytical plan, design questionnaires, analyze and summarize data into a cohesive story highlighting insights
Demonstrated ability to translate research data into actionable insights and recommendations through compelling reports and presentations that tell a story
Project management, decision making skills, and ability to manage partners against competing priorities
Exceptional communicator (verbal, written, and presentation)
Effectively prioritize, scoping timelines and deliverables based on a thorough understanding of business priorities
Shows initiative and can evaluate risk versus reward in all aspects
Demonstrated partnering skills and proven ability to effectively manage conflict
Demonstrated work ethic and high intellectual curiosity
High attention to detail and accuracy is a must
Ability to work well in fast-paced business environment, displaying professionalism and confidence in challenging situations
Positive can-do attitude
Preferred Qualifications:
Deep understanding of Walt Disney World commercial business, Guest visitation, and pricing dynamics
Hands-on experience with SQL, Teradata SQL Assistant and working with large complex data warehouses
Previous experience conducting pricing research studies (Van Westendorp, Gabor-Granger, Conjoint, Discrete Choice, Max Diff)
Required Education :
Bachelor’s Degree or equivalent in related field
Preferred Education :
Master's degree in business and/or data analytics field of study
Sep 05, 2019
Full-time
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business. In this position, you will report to the Senior Manager, Visitation and Pricing Insight, for translating consumer insight into actionable, business-driving strategies through critical interpretation of data, active collaboration with CIMA functions (CI, Analytics, Optimization, Foresight) and multifunctional partners (Commercial, Pricing, Marketing, Sales) to help shape the future of the business. Serve as a critical thought partner on complex business issues; deliver insightful consumer, competitive and marketplace analyses. Responsibilities :
Under the direction of Senior Manager, Visitation and Pricing Insight, this position is responsible for providing breakthrough consumer and Guest insight and thought leadership to drive business strategies as part of a fast paced, dynamic environment. Leads primary research, utilizes secondary sources, and collaborates with research teams and key stakeholders to support business & pricing initiatives, and actively place consumer insight at the heart of decision making. Requires collaboration with a spectrum of cross-functional teams to synthesize complex data points and create compelling communications that drive positive business results. Requires strong analytical skills to uncover hidden relationships in data and perform root cause analysis, with proven success at performing statistical analysis. Uses advanced analytics, knowledge and experience to translate learnings into compelling recommendations to senior executives.
Leads Consumer Insight pricing research efforts as the key contact for partners and project manager overseeing one analyst and acting as a secondary resource to support visitation research
Manages all phases of market research from beginning to end
Analyze, integrate and synthesize Consumer Insight data and other sources, as needed, to inform business decisions
Create succinct communications that frame insight and opportunities for leadership
Foster relationships with external and internal partners, including multiple levels of executives, building influence
Mentor other members of the team in data mining, SAS, Tableau, weighting of survey data, advanced and predictive analytics
Basic Qualifications :
Hands-on researcher with 5+ years of research experience, including both quantitative and qualitative, data mining, business analytics, strategic planning, commercial development or similar field
Demonstrated expertise with primary and secondary research methodologies and performing statistical analysis with survey data
Hands-on experience with SAS and SPSS
In-depth knowledge of Tableau and demonstrated expertise building dashboards
In-depth knowledge of Excel and demonstrated expertise of PowerPoint
Demonstrated understanding of economic indicators, travel industry, financial results, price elasticity and business performance metrics
Critical thinker, able to sort through complex business issues to develop research plans. Able to think out of the box and willing to try different research approaches
Able to conceptualize and build an analytical plan, design questionnaires, analyze and summarize data into a cohesive story highlighting insights
Demonstrated ability to translate research data into actionable insights and recommendations through compelling reports and presentations that tell a story
Project management, decision making skills, and ability to manage partners against competing priorities
Exceptional communicator (verbal, written, and presentation)
Effectively prioritize, scoping timelines and deliverables based on a thorough understanding of business priorities
Shows initiative and can evaluate risk versus reward in all aspects
Demonstrated partnering skills and proven ability to effectively manage conflict
Demonstrated work ethic and high intellectual curiosity
High attention to detail and accuracy is a must
Ability to work well in fast-paced business environment, displaying professionalism and confidence in challenging situations
Positive can-do attitude
Preferred Qualifications:
Deep understanding of Walt Disney World commercial business, Guest visitation, and pricing dynamics
Hands-on experience with SQL, Teradata SQL Assistant and working with large complex data warehouses
Previous experience conducting pricing research studies (Van Westendorp, Gabor-Granger, Conjoint, Discrete Choice, Max Diff)
Required Education :
Bachelor’s Degree or equivalent in related field
Preferred Education :
Master's degree in business and/or data analytics field of study
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.
The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
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. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new 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 January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print 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. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData
Aug 20, 2019
Internship
The Experience Insights team seeks to tell the story of our Guests' holistic vacation experiences and pioneer new tactics to enhance vacations through data integration, data science, statistical modeling/analysis, and delivery of innovative services. You will be responsible for building operations research and statistical models for various initiatives supporting the Guest experience. Responsibilities :
Make an impact by….
Performing data collection, data cleansing and validation, and reporting/analysis tasks
Integrating multiple data sets contributing to a '360-degree' view of the Guest
Supporting the analysis and validation of forecasting, predictive, and optimization models
Basic Qualifications :
What you bring to the role…
Proficient in optimized SQL, Teradata SQL
Experience with Python
Experience with Tableau
Ability to convert customer needs in to a completed solution, managing several projects simultaneously with strong organizational skills, partnering skills and attention to detail
Aptitude and willingness to learn new science, software, and analytics applications
Ability to write, create, and verbalize a strong presentation
Preferred Qualifications:
Experience with SAS
Required Education :
Majoring in Data Analytics, Data Science, or a related area
Cumulative GPA of 3.0 or higher (Note: Cumulative GPA stated on resume and application must match cumulative GPA of current institution’s transcript. Please, no rounding.)
Additional Information :
Internship Eligibility:
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. Note: Once you have completed one consecutive year of employment on a Disney internship or program, there must be a minimum 6 month gap before the start of a new 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 January to June 2020. Interns must be fully available for the duration of the internship. Housing: A limited amount of company-sponsored housing is available on a first-come, first-served basis. Recommendation – Print 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. Materials Required:
College transcripts (official or unofficial) - Please upload your transcript while completing the online application
To upload this document:
Log into your dashboard at the website: DisneyInterns.com
Click the View Your Dashboard and select Profile
Click the Add Files
Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
Select document type of “Transcript"
DisneyData
Data Analytics Internship, Spring 2020 – Burbank, CA The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, and 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 marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Gathering, validating, and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing, distribution, and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications :
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation and modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Statistics, Mathematics, Computer Science, Engineering or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, 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
Data Analytics Internship, Spring 2020 – Burbank, CA The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, and 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 marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
Gathering, validating, and maintaining data in SAS, R or Python
Generating periodic and ad hoc forecasts, while maintaining results
Applying analytics to address marketing, distribution, and finance business questions
Developing analytical solutions for cross-segment clients
Maintaining technical system documentation
Performing industry research and benchmark analysis
Preparing client deliverables
Basic Qualifications :
What You Bring to the Role...
Strategic problem solving & analytical skills
Proven proficiency with SQL, Python, R, or SAS to perform data manipulation and modeling
Basic understanding of Tableau
Statistics or Econometrics background
Experience collecting & analyzing data and reporting on the results
Excellent oral/written communication skills to technical and non-technical audiences
Intense attention to detail
Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
Proficiency in Microsoft Excel
Ability to work well independently, but also in a team environment
Preferred Qualifications:
Demonstrated experience with Tableau or similar data visualization tools
Previous work experience in Statistics
Required Education :
Senior or higher working towards (or recently graduated with) a degree in Statistics, Mathematics, Computer Science, Engineering or a related quantitative field
GPA of 3.0 or higher
Preferred Education :
Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, 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.
