Statistical Ops Analyst (US Remote)

REFERENCE ID# REF14524V

About this job

Support, maintain, and execute the processes and deliverables of Statistical Operations and associated project work for the US Retail Management Systems business. This includes understanding and representing the local market conditions in the operations processes, as well as managing and executing the local country “onshore” work. This entails engaging local partners like Data Science, Market Production, and Input Validation to ensure smooth hand-offs in operations.

Responsibilities

• Manages and executes the processes of Statistical Operations and associated project work. Project work will be execution work that requires a local presence such as aspects of universe, sample design, data queries that entails local inspection, contacts, or language.
• Works in partnership with the Data Science and Operations teams according to execution requirements as defined by the process playbooks for Operations and associated project work.
• Engages cross functionally on select Operations tasks and associated project work to ensure smooth and accurate operations.
• Acts as a touch point for select processes and investigates data inquiries / challenges with local teams, and offshore Operations for process / methods issues.
• Identifies and implements solutions to eliminate gaps in process and/or quality.
• Collaborates to converge processes, methods, and applications to optimize best practices.
• Act as department/company subject matter expert supporting custom analysis, and issue resolution, involving the data and software systems managed by Statistical Operations.
• Take lead role in recommending and implementing new and improved ways to effectively process data and execute methodologies within Statistical Operations.
• Take a lead role in providing training and/or documentation for new or changed processes, or where execution issues are observed, within Statistical Operations.

Qualifications

• B.S. or M.A., preferably in a statistical, mathematical, or technical field
• >3 years of quantitative analysis work experience Working knowledge of SQL and database structures Experience with Unix, Python, Power BI
• Proficient with Microsoft Excel, Word, & PowerPoint
• Ability to execute research projects, and translate the results into operational or analytical solutions to problems
• Ability to work in a cross-functional environment with several interacting teams
• Ability to work on multiple projects in parallel while managing and meeting changing deadlines and priorities
• Experience handling, manipulating and analyzing data
• Advanced Problem-solving Skills (deductive reasoning, able to see hierarchical relationships, gaps in logic, etc.)
• Excellent organizational, communication and interpersonal skills
• Strong oral and written communication skills
• Ability to document work and effectively prioritize documentation
• Ability to balance technical, marketing and business perspectives
• Effective decision-making skills
• Excellent analytical, problem-solving skills and attention to detail
• Able to work in an individual and/or team setting

All your information will be kept confidential according to EEO guidelines.

About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ 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.