• Produce and maintain workforce analytics and reporting for HR and business stakeholders on established cadences • Support operational workforce decision‑making through timely analysis of staffing, productivity, and workforce metrics • Monitor current and short‑term workforce trends to identify changes, risks, or data issues • Analyze historical workforce data to identify patterns and support workforce planning activities • Respond to ad hoc reporting requests and time‑sensitive business questions with accurate, well‑structured outputs • Partner with HR COEs and business teams to understand reporting needs and improve clarity and usefulness of insights • Support workforce planning discussions through data preparation, trend analysis, and basic forecasting support • Contribute to analytics projects focused on improving workforce visibility, reporting efficiency, and data quality • Ensure accuracy, consistency, and integrity of workforce data across reports and dashboards • Build knowledge of workforce analytics best practices, tools, and industry trends

• Lead drafting and iteration of risk management policies and standards supporting the non-prime installment product • Translate policy intent into operational procedures and control requirements • Establish a lightweight governance cadence for policy review/changes and maintain a living policy repository with change logs • Design and implement a monitoring framework for the new product that includes risk appetite metrics and early-warning indicators • Build a recurring executive reporting pack for the leadership team and create self-serve dashboards for day-to-day decision making • Support product design decisions by quantifying trade-offs among risk, approval rate, unit economics, and customer experience • Serve as a primary risk analytics partner to Product/Engineering during build, ensuring risk requirements are embedded in workflows

Role Description We’re looking for a finance focused Senior Data Analyst to join our Business Analytics Engineering team. In this role, you’ll be working with cutting-edge online advertising technology and delivering top-notch data transformations, analytics, and visualizations. Our advertising spans billions of requests across thousands of dimension attributes handled by dozens of applications. Understanding the flow of data and integration points will be crucial to building representations ranging from high-level summary insights to low-level minutiae. - Become an expert on MNTN finance, accounting & rev-ops data pipelines to pull thoughtful insights around the wholistic state of MNTN performance. - Forecasting: Apply a deep understanding of revenue modeling using efficient code, resulting in clear and accurate forecasts to be used for analytical and operational reporting. - Reporting & Analytics: Conduct regular data analysis and present insightful reports to internal stakeholders. Deliver high-quality, repeatable dashboards and analytics solutions. - Cross-Functional Collaboration: Work closely with teams throughout the company (including C-suite) to translate data findings into actionable insights and recommendations. Qualifications - 5+ years experience in financial analytics or similar. - 2+ years experience in Tableau or a similar dashboarding tool. - Experience with complex financial & revenue data. - Extensive SQL experience with the ability to write scalable, maintainable queries. - Advanced Excel/spreadsheet and analytical skills. - Demonstrated ability to create data visualizations for use in communication with others through reports and dashboards. - A self-starter attitude and ability to work in a fast-paced but fun environment. - Ability to multi-task, be extremely detail-oriented, and thrive in an entrepreneurial environment characterized by growth and change. - Ability to manage multiple stakeholders and multiple priorities. Requirements - Bonus: Project management and organizational skills. - Bonus: 2+ years experience in martech or adtech with a demonstrable understanding of ad buying, attribution, and analytics. Benefits - 100% remote within the US. - Flexible vacation policy. - Annual vacation allowance for travel related expenses. - Three-day weekend every month of the year. - Competitive compensation. - 100% healthcare coverage. - 401k plan. - Flexible Spending Account (FSA) for dependent, medical, and dental care. - Access to coaching, therapy, and professional development.

• Leading the validation of predictive and machine-learning models for specific business needs using statistics and advanced mathematical techniques • Guiding a team and/or project through providing solutions to business problems leveraging statistics and quantitative tools/techniques • Assessing and validating models, methodologies, and analytical frameworks • Communicating technical theories and models to a non-technical audience • Evaluating the appropriateness of analytical methods used and assessing their justification