Senior Analyst, Business Analytics & Insights

About the role

The Senior Analyst, Business Analytics & Insights translates complex data into actionable business insights. This hands-on role partners with cross-functional teams (Finance, Operations, Merchandising, Real Estate, etc.) to support strategic decision-making through advanced analytics, modeling, and storytelling. The ideal candidate is 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.
• 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.
• Work in a fast-paced environment where priorities can change.

Requirements

• 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 outputs.
• 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 pushback.