Sr Data Analyst

Mom’s Meals is hiring a Senior Data Analyst to turn complex data into actionable insights and build scalable analytics assets that drive business outcomes. The role partners with executive stakeholders, supports BI infrastructure, and delivers exploratory and advanced analyses.

Responsibilities:

• Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
• Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools
• Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis
• Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
• Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations
• Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation
• Define and monitor KPIs tying operational reporting directly to business objectives
• Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices
• Stay current with emerging analytics methodologies, technologies, and capabilities

Requirements:

• At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc
• 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
• 2+ years writing data directly to a data warehouse
• Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
• Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development
• Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
• Knowledge of AI-assisted analytics development, and AI-assisted analytics tools
• Versioning and Reproducibility: Git‑based workflows; disciplined documentation, and peer review
• Comfort in at least one BI platform like Power BI, Hex, Tableau, etc
• Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models
• Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making
• Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication
• Product mindset: understand and define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions
• Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
• Familiarity with data governance tools and compliance standards
• Product management training or analytics product delivery experience