Analytics Manager, Forge

• 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

Desirable

• Forge Global is seeking an Analytics Manager to help shape the future of private market investing through data, analytics, data science, and AI
• This is a highly visible individual contributor role with no direct reports
• You will partner directly with leaders across Product, Growth, Revenue, Operations, and Finance to solve complex business problems, identify growth opportunities, and drive measurable outcomes
• The ideal candidate is equally comfortable moving between business strategy and technical execution: writing SQL, building predictive models, designing experiments, creating trusted reporting, and turning complex analysis into clear recommendations that drive decisions
• You will join a small, high-impact analytics team where ownership is broad, the work is hands-on, and your insights can influence company strategy
• 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

• 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