Sensor Tower-posted 2 months ago
$100,000 - $120,000/Yr
Full-time • Entry Level
Los Angeles, CA
251-500 employees

We are seeking a highly motivated and quantitatively adept Data Analyst to join our Sensor Tower team. This pivotal, highly visible role is designed for an emerging professional with 3-5 years of experience and who possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis. The core function of this role is to act as the primary quantitative auditor of our proprietary SaaS platform's business estimates. You will proactively and autonomously investigate discrepancies between our internal forecasts and publicly reported data (e.g., active users, revenue, growth metrics from public company filings). This is not a standard reporting role; it requires a strong intellectual curiosity, an ability to back into complex, non-obvious metrics using publicly available documentation (10-Ks, 10-Qs, Investor Presentations), and the ability to articulate findings that directly impact our core product and client messaging. The ideal candidate will thrive in an ambiguous environment and possess the self-starter mentality often developed in roles like sell-side research, entry-level strategy consulting, or similar quantitative roles.

  • Quantitative Audit and Discrepancy Analysis: Proactively conduct sophisticated, high-fidelity comparisons between proprietary company estimates and publicly available information to identify material variances.
  • Reconciling and Reverse-Engineering Estimates: Employ advanced quantitative techniques to infer or back-solve for proprietary financial and operational metrics from fragmented publicly disclosed data.
  • Documentation and Knowledge Repository Contribution: Create clear and concise analytical documentation, including a full trace of the quantitative proof.
  • Cross-Functional Impact Assessment: Collaborate closely with the Data Science and Engineering teams to model the collateral impact of a fundamental estimate change across the firm's broader suite of financial models and forecasts.
  • Stakeholder Communication and Enablement: Support the Data Science, Sales, and Client Success teams by developing clear, compelling, and accurate messaging that articulates the rationale behind our estimate methodology.
  • 3 to 5 years of professional experience in a highly analytical, quantitatively driven role, with a strong preference for backgrounds in Sell-Side Research, Equity Analysis, Management Consulting, or Similar quantitative roles.
  • Bachelor's degree in a highly quantitative discipline such as Mathematics, Statistics, Economics, Finance, or similar.
  • Demonstrated mastery of quantitative techniques, statistical analysis, and complex data manipulation.
  • A demonstrable, deep-seated interest in public equity markets, industry dynamics, and an ability to navigate and comprehend the nuances of regulatory filings (10-K, 10-Q, 8-K).
  • Strong command of SQL for data extraction and manipulation, and working proficiency in Python or R for statistical analysis.
  • Exceptional self-motivation and the capacity to operate with a high degree of independence.
  • An unwavering commitment to data accuracy and analytical precision.
  • Ability to distill complex quantitative findings into clear, concise, and actionable insights.
  • Base salary: $100,000 - $120,000
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