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MNTN is seeking a Senior Data Analyst focused on finance to join the Business Analytics Engineering team. You'll work with cutting-edge Connected TV advertising technology, delivering data transformations, analytics, and visualizations across billions of requests and thousands of dimension attributes.
Key responsibilities include becoming an expert on MNTN's finance, accounting, and revenue operations data pipelines to surface insights on company performance. You'll apply deep revenue modeling expertise using efficient code to produce accurate forecasts for analytical and operational reporting. You'll conduct regular data analysis, present insightful reports to internal stakeholders including C-suite, and deliver high-quality, repeatable dashboards and analytics solutions.
You'll collaborate cross-functionally across the company, translating data findings into actionable insights and recommendations. Success means delivering accurate, high-quality analyses under tight deadlines while balancing speed, precision, and competing priorities. You'll build scalable, sustainable SQL solutions that are well-documented and maintainable, contributing to team culture through collaboration and knowledge sharing. You'll partner effectively across departments to provide trusted analytical support, independently driving ambiguous requests through actionable recommendations while building stakeholder trust.
Required qualifications: 5+ years in financial analytics or similar; 2+ years with Tableau or comparable dashboarding tools; experience with complex financial and revenue data; extensive SQL expertise with ability to write scalable, maintainable queries; advanced Excel and analytical skills; demonstrated ability to create data visualizations for reports and dashboards; self-starter attitude for fast-paced environments; strong multi-tasking and detail orientation; ability to manage multiple stakeholders and priorities.
Bonus qualifications include project management and organizational skills, and 2+ years in martech or ad-tech with demonstrable understanding of ad buying, attribution, and analytics.