Manager, Business Intelligence & Revenue Analytics at Analytic Inc. in Santa Rosa,

Manager, Business Intelligence & Revenue Analytics

San Francisco, CA (Hybrid, 3 days/week)

6+ years BI/Analytics | 3+ years people leadership

SQL, Power BI

$122K-$185K

Reports to:

Director, BI & Revenue Analytics

A thriving Legal Tech is seeking a Manager, Business Intelligence & Revenue Analytics to define how data drives decisions across the business AND MAKE BUSINESS RECOMMENDATIONS THAT DRIVE REVENUE GROWTH from Data Analysis. This is a hands-on leader who sits at the intersection of data, commercial strategy, and team development. You will partner with Sales, Marketing, Revenue Operations, Product, and Executive Leadership.

• Deliver reporting, forecasting, and performance insights that support pipeline health, product adoption, and revenue growth.
• Identify patterns in churn, customer behavior, and pipeline risk to surface actionable opportunities.
• Present insights to sales leadership

• Analyze campaign performance, attribution, segmentation, and ROI.
• Build reporting that helps marketing understand what is working and where to invest.

• Build and maintain KPI frameworks and executive dashboards across sales, marketing, and operations.
• Flag trends, anomalies, and risks proactively to support leadership decision-making.

• Partner with Data Engineering to define requirements, influence data models, and ensure reporting accuracy.
• Maintain core business logic (revenue metrics, segmentation, product usage).
• Establish data governance, validation, and quality standards.
• Enable self-service analytics and promote data literacy across teams.

• Collaborate directly with cross functional leaders to gather requirements and deliver insights that drive measurable outcomes.
• Translate business questions into analytical solutions and strategic recommendations.

• Lead, mentor, and develop a small BI/analytics team.
• Own intake, prioritization, and delivery of analytics initiatives.
• Set standards for analytical rigor, communication, and stakeholder engagement.
• Remain a hands-on contributor on key analyses.

• 6+ years in BI, analytics, revenue operations, or similar roles.
• 3+ years of leadership while remaining hands on.
• Strong SQL and Power BI skills; understanding of data modeling, warehousing, ETL, and BI architecture.
• Experience in B2B SaaS and comfort operating in ambiguous, fast-moving environments.
• Proven ability to influence commercial strategy through data storytelling.
• Experience with pipeline analysis, product adoption metrics, and customer segmentation.
• Excellent communication and cross functional partnership skills.

• Frequent job changes (