Data Analyst

• Proactively conduct sophisticated, high-fidelity comparisons between proprietary company estimates and publicly available information to identify material variances. This includes rigorously researching differences in underlying definitions, methodological frameworks, and reporting methodologies.
• Employ advanced quantitative techniques to infer or back-solve for proprietary financial and operational metrics from fragmented publicly disclosed data. This demands a nuanced understanding of regulatory filings (e.g., extracting non-GAAP to GAAP reconciliations or segment reporting details).
• Create clear and concise analytical documentation, including a full trace of the quantitative proof. Maintain and contribute this analysis, complete with reproducible data trails, to the team's shared GitHub repository.
• 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.
• Support the Data Science, Sales, and Client Success teams by developing clear, compelling, and accurate messaging that articulates the rationale behind our estimate methodology, the nature of identified discrepancies, and the impact of changes.

Data Analyst

Digital Data Analyst

Senior Data Analyst

Data Analyst Intern

Business Data Analyst

Investment Data Analyst