Analytics Sr Analyst
Role Overview
A Senior Data Analyst on PepsiCo's Data Analytics & AI team turns data into actionable insights for business decisions, process improvement, and data-driven strategy.
The role may focus on BI and reporting automation or broader data analytics and AI, depending on the team.
The job family uses data and advanced analytics to develop insights and predictive models, improve processes, and support data governance, quality, and integrity.
Key Skills for This Role
Full Job Posting
Overview
A Senior Data Analyst on PepsiCo's Data Analytics & AI team turns data into actionable insights for business decisions, process improvement, and data-driven strategy.
The role may focus on BI and reporting automation or broader data analytics and AI, depending on the team.
The job family uses data and advanced analytics to develop insights and predictive models, improve processes, and support data governance, quality, and integrity.
Responsibilities
- Extract, clean, and analyze data from large and small databases using SQL and related tools.
- Build reports, dashboards, and visualizations to support business decisions.
- Deliver ad hoc analysis and insights for cross-functional partners.
- Work with structured, semi-structured, and unstructured data; support data preparation for advanced analytics and capability projects.
- Translate business needs into analytical requirements and clear recommendations.
Compensation
- Expected compensation range is $104,100–$174,300; the description does not specify the salary cadence.
- Performance bonus has an eligibility target payout of 8% of annual salary, paid annually.
Benefits
- Paid time off, including parental leave, vacation, sick leave, and bereavement leave, subject to eligibility.
- Benefits may include medical, dental, vision, disability, reimbursement accounts, employee assistance, insurance, and a defined contribution retirement plan, subject to elections and eligibility.
Qualifications
- Bachelor's degree in a related field and 3–4+ years of data analytics experience.
- Strong SQL and relational database skills.
- Experience with Excel and PowerPoint; Tableau, R, or Python may also be used.
- Ability to handle large datasets, cleanse data, and clearly explain technical findings.
- Strong communication, organization, and problem-solving skills.
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