Analytics Manager

• Own analytics strategy and decision support across business domains.
• Translate ambiguous business questions into analytical frameworks, recommendations, and action plans.
• Conduct deep-dive analyses to understand customer behavior, marketplace dynamics, product performance, growth opportunities, and business performance.
• Partner with business leaders to identify opportunities, define success metrics, measure impact, and guide tradeoffs.
• Design and evaluate experiments that inform product, marketing, and operational decisions.

• Develop predictive and statistical models that improve business outcomes.
• Identify opportunities to apply machine learning and AI to improve customer experiences, internal workflows, prioritization, and decision support.
• Partner with Product, Engineering, and business teams to evaluate, prototype, and operationalize practical AI-driven solutions.
• Apply modern analytical techniques, including machine learning, statistical modeling, automation, and generative AI, where they can create measurable business impact.
• Help shape how Forge uses analytics and AI responsibly by focusing on practical use cases, measurable value, and trusted outputs.

• Build and maintain dashboards, recurring reporting, and self-service assets that help stakeholders make faster and better decisions.
• Define and maintain trusted business metrics, KPI frameworks, and measurement standards.
• Validate data quality, investigate anomalies, reconcile discrepancies, and proactively surface risks in analytical outputs.
• Partner with data and engineering teams to improve the reliability, usability, and scalability of data used across the business.
• Automate repetitive analytical workflows and improve team processes, templates, QA checks, and stakeholder workflows.

• Act as a trusted analytics partner and primary point of contact for assigned stakeholder groups.
• Lead intake and prioritization for analytical work by clarifying goals, scoping projects, setting expectations, and communicating progress.
• Tell clear, compelling stories with data and influence decisions through evidence-based recommendations.
• Mentor analysts and stakeholders informally through code reviews, analytical approaches, measurement design, and best practices.
• Operate independently in ambiguous, fast-moving environments while knowing when to escalate risks, tradeoffs, or decisions.

• 5-7 years of experience in analytics, data science, quantitative strategy, or a related field.
• Bachelors Degree
• Advanced SQL skills and the ability to independently move from raw data to actionable recommendations.
• Strong Python experience for statistical analysis, machine learning, and automation.
• Experience designing and analyzing experiments, including A/B testing, causal measurement, or related methods.
• Experience building predictive models or applying machine learning techniques to real-world business problems.
• Experience with platforms such as Snowflake and Looker.
• Strong communication skills with the ability to translate complex analytical concepts into clear business recommendations.
• Proven ability to influence decisions through data and build strong cross-functional partnerships.
• Comfort operating in ambiguity with significant ownership, autonomy, and accountability for outcomes.
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

• Experience deploying, operationalizing, or monitoring machine learning models in a business environment.
• Experience with customer lifecycle, marketplace, fintech, investment, product, or growth analytics.
• Experience using generative AI or LLM-based tools to accelerate analytical workflows or build practical business solutions.
• Familiarity with product analytics, marketing measurement, experimentation platforms, or event instrumentation.

For residents of San Francisco, CA the annual salary range for this role is $120,000 - $150,000 + annual bonus.

Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.