Retail Analytics & Insights Analyst II
Role Overview
The Retail Analytics & Insights Analyst II transforms complex data into actionable business insights for clients and internal partners.
The role works with Operations, Marketing, Client Services, Finance, Business Operations, and HR.
Key Skills for This Role
Full Job Posting
Role Overview
The Retail Analytics & Insights Analyst II transforms complex data into actionable business insights for clients and internal partners.
The role works with Operations, Marketing, Client Services, Finance, Business Operations, and HR.
Key Responsibilities
- Independently determine appropriate data sources, definitions, and assumptions for assigned analyses.
- Write, optimize, and maintain complex SQL queries for reporting, ad hoc analysis, and decision-making.
- Build and maintain dashboards that communicate trends, drivers, and performance.
- Analyze data to uncover patterns, trends, anomalies, and emerging insights, then provide recommendations.
- Identify inefficiencies in business processes, reporting workflows, or data usage.
- Recommend and help implement process improvements, automation, and analytics enhancements.
- Own recurring reports, dashboards, or analytical processes and ensure their accuracy and reliability.
- Collaborate with Technology and Analytics teams to extract, validate, and document datasets.
- Communicate findings and recommendations to technical and non-technical stakeholders.
- Present findings and recommendations to senior stakeholders and executives.
Education and Experience Required
- Bachelor's degree in a quantitative discipline, including Data Analytics, Computer Science, Mathematics, Statistics, or Engineering.
- At least 2 years of hands-on SQL experience with large-scale, complex data repositories.
- At least 2 years of BI tool experience, including Tableau, Qlik, Power BI, Sigma, or similar platforms.
- At least 2 years of experience turning data into business-adopted actionable recommendations.
- Python experience for data analysis, automation, or analytics workflows is preferred.
Skills and Qualifications
- Strong analytical thinking and independent problem-solving for moderately complex problems.
- Understanding of data quality, data modeling, and analytical best practices.
- Experience gathering, refining, and validating business requirements with limited guidance.
- Ability to prioritize, manage time, and meet deadlines with minimal oversight.
- Strong written, verbal, data visualization, and presentation skills.
Benefits
- Eligible associates may receive benefits including flexible schedules, retirement plans, health coverage, paid time off, discounts, and training and career development.
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