Local or 100% Remote

About the role

Point is transforming how we use data — from a team that reports what happened to one that explains why and recommends what to do next. As Lead Data Analyst, you'll be the most senior analyst on the team and the standard-bearer for that shift. You'll take our hardest, highest-stakes business questions and drive them from an ambiguous ask to a rigorous, trusted answer with a clear recommendation. Working closely with leaders across product, marketing, and operations, you'll own how our most important metrics are defined and set the bar for what great analysis looks like. This is a lead individual-contributor role with a potential direct report, helping build a function that's becoming a true analytical partner to the business — and the human judgment layer on top of a company increasingly able to self-serve with AI.

Your responsibilities

• Own the definition and integrity of core business metrics — bring an opinionated, well-reasoned point of view and drive alignment across stakeholders on a single source of truth.
• Lead end-to-end deep-dive analyses on our highest-stakes questions — from framing the problem, through causal and statistical rigor, to a written recommendation the business can act on, including retrospective reads on whether past bets paid off.
• Design and interpret experiments and causal analyses — separate correlation from causation, and quantify the tradeoffs and elasticities leaders need to prioritize with confidence.
• Serve as an embedded analytical partner to senior product, marketing, and operations leaders — understand their goals, anticipate the questions, and proactively surface insights rather than just fielding requests.
• Translate business logic into documented metric definitions and the semantic layer that powers self-serve analytics and AI-driven data access.
• Set the analytical standard for the team — model rigorous, reproducible work and raise the bar through mentorship and example.

About you

• 8+ years in analytics, data science, or a quantitative decision-science role, with a track record of analyses that changed business decisions — not just dashboards.
• Deep SQL expertise and warehouse fluency (Snowflake and dbt a plus); comfortable navigating messy, imperfect data and reasoning rigorously about its reliability.
• Strong statistical foundation — causal inference, experimentation, regression — and the judgment to know which method fits the question.
• Exceptional at framing ambiguous problems and communicating findings crisply to senior, non-technical stakeholders; you form a point of view and defend it with evidence.
• A track record of influencing decisions without formal authority, and a natural standard-setter who elevates the people around you.
• Bonus: experience in fintech, lending, mortgage, or real estate; and hands-on experience with AI-assisted analytics (LLMs, semantic layers, self-serve tooling).

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

• Tier 1 | San Francisco Bay Area, New York, and Seattle | $180,500 - $199,500
• Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $161,500 - $178,500
• Tier 3 | All other US metro areas | $155,800 - $172,200

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Location Requirement: This is a remote position. However, candidates must reside in one of Point’s states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.