Senior Data Analyst - Finance & Revenue Analytics

Remote; San Francisco (CA); Remote; USD 102,000 - 113,000; Full time

Job summary

Mom’s Meals is seeking a Senior Data Analyst to turn complex data into actionable insights that drive financial and operational outcomes. You will build scalable analytics assets for finance and revenue cycle management, connect operational activity to financial performance, and partner with executives on high-impact data problems.

In this remote role, you’ll use Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities to develop analytics products, validate findings, and tell

Qualifications

• 4-8 years in analytics roles with cross-functional stakeholders.
• 2+ years writing data to a data warehouse.
• 2+ years partnering with finance, strategy, or revenue ops leaders.
• Proven impact delivering analytics in complex environments with measurable outcomes.
• Statistical and financial analytics expertise including analysis design and business case development.
• Expert proficiency in production-level SQL over large, partitioned tables.
• Knowledge of AI-assisted analytics development and tools.
• Versioning and reproducibility: Git-based workflows and disciplined documentation.
• Executive storytelling: translate complex analyses into actionable recommendations.
• Proficiency in at least one BI platform (Power BI, Tableau, Hex).
• Experience with Databricks, dbt, and data pipelines.

Responsibilities

• Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives.
• Partner with finance and revenue cycle stakeholders to develop new self-service reporting tools and capacities.
• Develop core organizational KPIs and present on the health of the business to senior stakeholders.
• Develop analytics products and solutions using Databricks, dbt, scripting, and BI tools.
• Implement advanced analytics with 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 and ensure analytics assets are built on reliable data foundations.
• Own analysis quality through data validation, experiment design, sensitivity checks, reproducibility, versioning, and documentation.
• Define and monitor KPIs tying operational reporting to business objectives.
• Adopt and champion BI development standards across the organization, including naming conventions and quality checks.
• Stay current with emerging analytics methodologies and capabilities.

Skills

Analytics leadership

SQL proficiency

Databricks

R programming

Power BI

DBT

Executive storytelling

Cross-functional collaboration

Financial analytics

Data warehousing

Tools

Databricks

SQL

R

Power BI

dbt

Microsoft Fabric

Job description

Mom’s Meals is seeking a Senior Data Analyst to turn complex data into actionable insights that drive financial and operational outcomes. You will build scalable analytics assets for finance and revenue cycle management, connect operational activity to financial performance, and partner with executives on high-impact data problems.

In this remote role, you’ll use Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities to develop analytics products, validate findings, and tell