
Business Analyst – Retail Analytics, Insights
Nestle
full-time
Posted on:
Location Type: Office
Location: St. Louis • Montana • United States
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Salary
💰 $108,000 - $140,000 per year
About the role
- Collect, examine, and shape requirements for retailer data insights across a broad base of stakeholders in sales and marketing to enable data engineers to develop data products.
- Analyze retailer and ecommerce data from platforms such as Crisp, Retail Link, Nielsen, IRI, Stackline, or similar, to uncover actionable insights that drive sales and marketing strategies.
- Collaborate with Product Owner, Scrum Master, Lead Data Engineer, development team, and key stakeholders to ensure retailer data needs are identified, conceptualized, and documented.
- Facilitate discussions with sales, marketing, and business partners to harvest core business needs related to retailer data.
- Translate business requirements into technical specifications for data products focused on retailer insights.
- Enhance end user satisfaction by continuously improving usability and relevance of retailer data products.
- Participate in agile ceremonies and Product Owner’s Guild sessions, ensuring retailer data insights are prioritized in the backlog.
Requirements
- Bachelor’s degree in Business Administration, Computer Science, Information Systems, or related field.
- 5+ years of experience in business analysis or project management gathering business requirements and writing user stories
- 3+ years of experience with business analysis techniques such as business process modeling or process flows.
- 3+ years of experience working with customer, retail, sales, or eCommerce data performing data analysis, data modeling, or data mapping
- Experience with Agile or SAFe delivery practices and Agile ceremonies
- Experience with Microsoft Power Platforms, Azure DevOps, and SQL.
Benefits
- performance-based incentives
- competitive total rewards package
- 401k with company match
- healthcare coverage
- broad range of other benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata modelingdata mappingbusiness process modelinguser storiestechnical specificationsretailer data insightseCommerce data analysisAgile delivery practicesSAFe
Soft Skills
collaborationcommunicationfacilitationstakeholder engagementproblem-solvingorganizational skillsuser satisfaction improvementrequirement gatheringcritical thinkingadaptability