Business Analytics Manager (Finance)
Venturefizz Product Management Community
Business Analytics Manager (Finance)
Boston, MA March 12, 2026
Job Description
Partner with FP&A on topline forecasting, ensuring assumptions are grounded in operational reality and core business drivers are clearly defined and measurable.
Improve the structure, consistency, and scalability of planning processes across budget, rolling forecast, and long-range planning.
Establish clear frameworks for pacing and variance analysis that increase organizational accountability and improve forecast precision over time.
Translate complex business dynamics into structured, decision-oriented insights for senior leadership.
Partner with Growth and Marketing to ensure initiative-level forecasts align to company targets and reflect sound financial logic.
Build thoughtful business cases for incremental investments and initiatives, grounded in disciplined, data-driven tradeoff analysis.
Help leadership understand the financial implications of strategic decisions – balancing short-term performance with long-term value creation.
Design and institutionalize scalable planning frameworks that improve accuracy and reduce friction across teams.
Qualifications
6+ years of experience in Financial Analytics, Strategic Finance, Growth Analytics, or a similarly rigorous role within a subscription, DTC, or consumer technology business.
Strong financial modeling skills; comfortable building and refining driver-based forecasts that support executive planning.
Demonstrated ability to deeply understand business models and connect operational drivers to financial outcomes.
Strong track record building business cases and evaluating strategic tradeoffs using structured analytical frameworks.
High bar for analytical integrity and a bias toward accuracy over narrative.
Advanced SQL proficiency required; experience working with complex data models in Snowflake, dbt, or similar environments preferred.
Strong executive presence; able to defend assumptions and recommendations clearly and confidently.
Proven ability to align stakeholders with differing priorities around shared, data-driven conclusions.
Self-starter with a player-coach mentality – equally comfortable shaping strategy and diving deep into the underlying data and models.
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