Manager 67
Data Science A San Francisco, California
Manager (Job Location: San Francisco, CA)
Founded in 1923, Nielsen is the global authority on the consumer. We help over 20,000 clients, from Coca-Cola to Walmart to Apple to Disney, in 105 countries understand consumers and grow their businesses, every day. The company is organized into two areas: What Consumers Watch, serving media, telecom and tech industries; and What Consumers Buy, serving consumer goods, retail, financial services and automotive industries.
DESCRIPTION Develop and apply statistical theory and methods to data processing to prepare for marketing mix analysis, working closely with manager, based on understanding of client needs for quantitative analysis of marketing effectiveness. Collect, organize, and manipulate data inputs, applying statistical theories and methods. Develop and test model specifications to meet client needs. Develop and estimate statistical models working closely with manager. Prepare deliverables and presentation decks for client under supervision of manager. Write SAS, Python and SQL code to read input data and present results in business meaningful formats. Develop PowerPoint decks that report results. Use library of company code and presentation templates to assist with all phases of projects, including data readers, model specifications, automated modeling tools and websites. Send analysis results to client, and clarify technical questions with client on methodology used to obtain results. Assist in managing project timelines, and client communications and interactions. Supervise, coach and mentor 1 Senior Analyst. Involves the opportunity to telecommute from home from within the San Francisco, CA area up to 2 days per week, as feasible. Tools used include: Microsoft Office (Excel, PowerPoint, Word) SQL, Python, R and C/C++.
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QUALIFICATIONS Minimum Requirements: - Masteregree in statistics, econometrics, mathematics, operations research, industrial engineering, or related field (foreign equivalent degree acceptable), plus 1 year of experience in media analysis or marketing (would also accept a bacheloregree plus 3 years of experience).
- Any level of experience in and/or knowledge of:
- Development and application of applied statistical and quantitative analysis and modeling;
- performing mathematical formulations to solve business problems;
- writing SAS code to read, audit and review raw input data and create meaningful data transformations to normalize, align and scale data to address specifics of a clientusiness;
- media planning and/or marketing mix modeling;
- Microsoft Office (Excel, PowerPoint, Word);
- SQL, Python, R and C/C++ programming languages;
- client relationship management;
- preparing client presentations; and
- making presentations to clients.
About Nielsen:
Nielsen is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsenatch segment provides media and advertising clients with Total Audience measurement services across all devices where content deo, audio, and text consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industrynly global view of retail performance measurement.
By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the worldopulation. For more information, visit www.nielsen.com.
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
JOB TYPE: Regular
PRIMARY LOCATION: San Francisco, California
SECONDARY LOCATIONS:
ORGANIZATION: Data Science
SCHEDULE: Full-time
SHIFT: Day
TRAVEL: No
