OverviewThe Senior Analyst, Business Analytics & Insights is responsible for translating complex data into actionable business insights. This role partners closely with cross-functional teams (Finance, Operations, Merchandising, Real Estate, etc.) to support strategic decision-making through advanced analytics, modeling, and storytelling.
This is a hands-on role for a highly analytical professional who can independently own analyses end-to-end, influence stakeholders, and help elevate analytics maturity across the organization.
Responsibilities- Partner on advanced analytical projects to support business strategy, performance optimization, and growth initiatives
- Analyze large, complex datasets to identify trends, risks, and opportunities
- Ability to work in a fast paced environment where priorities can change
- Design and maintain dashboards, KPIs, and reporting frameworks used by senior leadership
- Partner with business stakeholders to translate ambiguous questions into clear analytical approaches
- Communicate insights through compelling data storytelling and executive-ready presentations
- Validate data accuracy, improve data quality, and document analytical methodologies
QualificationsRequired Qualifications- Bachelor's degree in Analytics, Statistics, Economics, Computer Science, Mathematics, or a related field
- 3-5+ years of experience in analytics, business intelligence, or data science
- Advanced SQL proficiency (complex joins, window functions, performance optimization, data manipulation)
- Working Knowledge of Python or R for analysis and modeling
- Experience with BI tools (Power BI, Tableau, Looker, or similar)
- Solid understanding of statistics and forecasting methods
- Good understanding of data flow, turning raw data into business facing
- Proven ability to translate data into clear business recommendations
- Excellent communication skills with both technical and non-technical audiences
Preferred Qualifications- Experience in retail, e-commerce, CPG, or multi-location businesses
- Experience working with cloud data platforms (Snowflake, BigQuery, Redshift, etc.)
- Familiarity with automation, scheduling, and scalable analytics workflows
- Ability to multi-task with extreme attention to detail
- Comfortable interacting with all levels of the organization
- Comfortable working in a fast-paced environment
- Excellent interpersonal, communication, and follow through skills
- Possess agility, can shift between projects without a loss of overall quality
- Proactive and positive attitude, able to handle and navigate push back
