Senior Financial Data Analyst

Did you know that 50M+ people in the US drive a personal car for work - and qualify for an average tax deduction of $6,500? But to get it, you have to keep a log of every single drive you take (and keep it for 5 years in case you’re audited!).

At MileIQ, we’re delivering mileage tracking for the modern workforce. We’re the category creator and global leader in mileage tracking, with 1M+ active users, 80B+ miles logged, and $10B+ in value.

Role Specifics

The role we’re looking to fill: Senior Financial Data Analyst

We're seeking a results-driven Senior Finance Data Analyst to be a critical partner to the Finance team and wider organization, providing data-driven insights to guide strategic decision-making. You'll leverage your SQL expertise to analyze and interpret financial and operational data, helping us identify growth opportunities, improve customer retention, and optimize pricing. The ideal candidate is a self-starter with a strong analytical mindset and a passion for leveraging data to drive business impact in the SaaS space.

Compensation Range: $122,000 to $164,000

Location: Remote US or our San Francisco office

What you will do: 

• Financial Modeling & Forecasting: Help to maintain financial models to forecast key metrics and to support planning and investment decisions.
• Reporting & Visualization: Develop clear and insightful reports, dashboards, and presentations to communicate complex financial data to stakeholders across the organization.
• SaaS Metrics Analysis: Deep-dive into key SaaS metrics (MRR, ARR, churn, LTV, CAC) to uncover trends, understand drivers, and identify opportunities for improvement.
• SQL Expertise: Leverage your SQL skills to extract, transform, and analyze data from our various systems.
• Cross-functional Collaboration: Partner with Product and Growth teams to define and track key metrics, share insights, and drive data-driven decision-making across the company.
• Customer Acquisition & Retention Analysis: Evaluate the effectiveness of marketing campaigns, identify high-value customer segments, and develop strategies to reduce churn.
• Pricing & Revenue Optimization: Analyze pricing models, customer segments, and usage patterns to optimize pricing strategies and maximize revenue generation.
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The ideal candidate: 

• Experience: 7+ years of experience in financial analysis, ideally in the SaaS industry.
• Technical Skills: Advanced proficiency in SQL (required), strong Excel/Google Sheets financial modeling skills, and experience with data visualization tools (e.g., Omni, Looker, etc).
• SaaS Knowledge: Understanding of key SaaS metrics and business models.
• Soft Skills: Excellent analytical and problem-solving skills, …