Sr. Finance Analytics Manager (Product & Engineering)
New
Based in United StatesFull-TimeManager
Salary127,000 - 186,000 USD per year
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Job Details
- Experience
- 10–12+ years
- Required Skills
- SQLData AnalysisMicrosoft Power BISnowflakeTableauLooker
Requirements
- 10–12+ years of experience in FP&A, strategic finance, finance analytics, or related roles in a high-growth SaaS environment.
- Strong expertise in building product-level financial models and forecasting methodologies that influence executive decisions.
- Advanced SQL skills with experience working in data warehouse environments (e.g., Snowflake or similar platforms).
- Deep understanding of SaaS metrics such as ARR, NRR, GRR, churn, LTV, and CAC, and how they connect to product behavior.
- Experience with BI and visualization tools such as Tableau, Looker, or Power BI.
- Proven ability to conduct open-ended, investigative analyses and translate findings into executive-level recommendations.
- Strong communication and storytelling skills, with the ability to simplify complex financial insights for senior stakeholders.
- Demonstrated experience acting as a strategic partner to Product, Engineering, and executive leadership teams.
- Highly autonomous problem-solver comfortable working in ambiguous, fast-changing environments.
- Bachelor’s degree in Finance, Economics, Data Analytics, Computer Science, or related field.
Responsibilities
- Build and own product-level financial forecasting models across multiple products, including drivers such as adoption, engagement, monetization, retention, and churn.
- Serve as a strategic finance partner to Product and Engineering leadership, translating product strategy into financial outcomes and insights.
- Lead deep-dive analyses into product performance, identifying drivers of growth, efficiency, and revenue expansion opportunities.
- Own financial performance management processes, including forecasting cycles, operating reviews, variance analysis, and executive reporting.
- Develop dashboards and reporting tools to provide real-time visibility into product and financial performance across the organization.
- Write and optimize complex SQL queries to extract, transform, and structure large datasets for analysis and forecasting.
- Establish scalable finance analytics frameworks, improving decision-making speed and strengthening data-driven planning processes.
- Ensure data governance and metric consistency, maintaining a reliable single source of truth for product financial performance.
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