Customer Insights Analyst, SUPERVALU

Purpose
Lead and execute customer analytics and measurement to deliver impactful insights to the company’s Merchandising organization. Drive enhanced decision making within product, placement, promotion, and pricing decisions through customer data and analytics.

Job Responsibilities and Accountabilities
• Lead and execute customer and sales analytics using complex retail transactional data.
• Develop summaries and initial insights based on analytical results.
• Lead and own all phases of project work, including construction of analytical frameworks and templates, partnering with data extraction teams, analyzing and summarizing results, and writing insights.
• Present complex data in a clear and concise fashion within charts and graphs.
• Develop and execute measurement of marketing and merchandising tests.
• Connect information and data from multiple sources to optimize deliverables.
• Build and enhance team processes and capabilities.
• Handle multiple projects simultaneously and effectively prioritize work to meet tight deadlines.
• Develop expertise on multiple analytical and reporting tools.
• Provide mentoring and training to other analysts.
• Develop partnerships and build relationships within the analytics team.

Job Requirements
Relevant Experience, Education, Certification, Knowledge, Skills and Abilities
• Bachelor’s degree required, preferably in quantitative discipline (Math, Statistics, Economics, Finance, Marketing Research).
• Advanced Degree preferred.
• 4+ years professional experience.
• Strong experience analyzing, interpreting, and summarizing large quantities of transactional data.
• Demonstrated ability to think analytically and solve problems through analytics.
• Demonstrated ability to present complex data in a clear and concise fashion.
• Must be a self-starter who can work well within various situations (from well defined to unstructured) and proactively identify business improvement opportunities.
• Well organized with strong attention to detail and accuracy.
• Ability to work effectively in a high growth environment and rapidly changing organization.
• Excellent written and verbal communications skills.
• Previous statistical programming experience (SAS, SQL, SPSS) preferred.
• Extensive experience with analytical, data mining, and reporting tools (SAS, Enterprise Miner, SPSS, APT, Microstrategy, Essbase, etc.).
• Excellent spreadsheet skills (Excel).
• Proficient with MS Office products, including PowerPoint and MS Word.
• Retail experience preferred.