{"schemaVersion":"jobsearcher.job.v1","id":"24bf9932a2022e976a3f9d15","url":"https://jobsearcher.com/jobs/24bf9932a2022e976a3f9d15","canonicalUrl":"https://jobsearcher.com/jobs/24bf9932a2022e976a3f9d15","title":"Analytics Manager","description":"At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.\n\nWith liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.\n\nForge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.\n\nOur ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.\n\nThe Role:\nForge 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.\n\nThe 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.\n\nLocation: This role requires 2-3 days a week in office in San Francisco, CA.\nResponsibilities:\n\nOwn analytics strategy and decision support across business domains.\n\nTranslate ambiguous business questions into analytical frameworks, recommendations, and action plans.\n\nConduct deep-dive analyses to understand customer behavior, marketplace dynamics, product performance, growth opportunities, and business performance.\n\nPartner with business leaders to identify opportunities, define success metrics, measure impact, and guide tradeoffs.\n\nDesign and evaluate experiments that inform product, marketing, and operational decisions.\n\nMachine Learning & AI\n\nDevelop predictive and statistical models that improve business outcomes.\n\nIdentify opportunities to apply machine learning and AI to improve customer experiences, internal workflows, prioritization, and decision support.\n\nPartner with Product, Engineering, and business teams to evaluate, prototype, and operationalize practical AI-driven solutions.\n\nApply modern analytical techniques, including machine learning, statistical modeling, automation, and generative AI, where they can create measurable business impact.\n\nHelp shape how Forge uses analytics and AI responsibly by focusing on practical use cases, measurable value, and trusted outputs.\n\nReporting, Data Quality & Enablement\n\nBuild and maintain dashboards, recurring reporting, and self-service assets that help stakeholders make faster and better decisions.\n\nDefine and maintain trusted business metrics, KPI frameworks, and measurement standards.\n\nValidate data quality, investigate anomalies, reconcile discrepancies, and proactively surface risks in analytical outputs.\n\nPartner with data and engineering teams to improve the reliability, usability, and scalability of data used across the business.\n\nAutomate repetitive analytical workflows and improve team processes, templates, QA checks, and stakeholder workflows.\n\nStakeholder Partnership & Leadership\n\nAct as a trusted analytics partner and primary point of contact for assigned stakeholder groups.\n\nLead intake and prioritization for analytical work by clarifying goals, scoping projects, setting expectations, and communicating progress.\n\nTell clear, compelling stories with data and influence decisions through evidence-based recommendations.\n\nMentor analysts and stakeholders informally through code reviews, analytical approaches, measurement design, and best practices.\n\nOperate independently in ambiguous, fast-moving environments while knowing when to escalation risks, tradeoffs, or decisions.\n\nQualifications:\n\n5-7 years of experience in analytics, data science, quantitative strategy, or a related field.\n\nBachelors Degree\n\nAdvanced SQL skills and the ability to independently move from raw data to actionable recommendations.\n\nStrong Python experience for statistical analysis, machine learning, and automation.\n\nExperience designing and analyzing experiments, including A/B testing, causal measurement, or related methods.\n\nExperience building predictive models or applying machine learning techniques to real-world business problems.\n\nExperience with platforms such as Snowflake and Looker.\n\nStrong communication skills with the ability to translate complex analytical concepts into clear business recommendations.\n\nProven ability to influence decisions through data and build strong cross-functional partnerships.\n\nComfort operating in ambiguity with significant ownership, autonomy, and accountability for outcomes.\n\nPhysical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication\n\nPreferred Qualifications\n\nExperience deploying, operationalizing, or monitoring machine learning models in a business environment.\n\nExperience with customer lifecycle, marketplace, fintech, investment, product, or growth analytics.\n\nExperience using generative AI or LLM-based tools to accelerate analytical workflows or build practical business solutions.\n\nFamiliarity with product analytics, marketing measurement, experimentation platforms, or event instrumentation.\n\nFor 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\n\nUpon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.\n\nForge 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.\n\n#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-08-18T03:54:35.127Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"13-1111.00","title":"Management Analysts","slug":"management-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Manager","description":"At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.\n\nWith liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.\n\nForge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.\n\nOur ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.\n\nThe Role:\nForge 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.\n\nThe 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.\n\nLocation: This role requires 2-3 days a week in office in San Francisco, CA.\nResponsibilities:\n\nOwn analytics strategy and decision support across business domains.\n\nTranslate ambiguous business questions into analytical frameworks, recommendations, and action plans.\n\nConduct deep-dive analyses to understand customer behavior, marketplace dynamics, product performance, growth opportunities, and business performance.\n\nPartner with business leaders to identify opportunities, define success metrics, measure impact, and guide tradeoffs.\n\nDesign and evaluate experiments that inform product, marketing, and operational decisions.\n\nMachine Learning & AI\n\nDevelop predictive and statistical models that improve business outcomes.\n\nIdentify opportunities to apply machine learning and AI to improve customer experiences, internal workflows, prioritization, and decision support.\n\nPartner with Product, Engineering, and business teams to evaluate, prototype, and operationalize practical AI-driven solutions.\n\nApply modern analytical techniques, including machine learning, statistical modeling, automation, and generative AI, where they can create measurable business impact.\n\nHelp shape how Forge uses analytics and AI responsibly by focusing on practical use cases, measurable value, and trusted outputs.\n\nReporting, Data Quality & Enablement\n\nBuild and maintain dashboards, recurring reporting, and self-service assets that help stakeholders make faster and better decisions.\n\nDefine and maintain trusted business metrics, KPI frameworks, and measurement standards.\n\nValidate data quality, investigate anomalies, reconcile discrepancies, and proactively surface risks in analytical outputs.\n\nPartner with data and engineering teams to improve the reliability, usability, and scalability of data used across the business.\n\nAutomate repetitive analytical workflows and improve team processes, templates, QA checks, and stakeholder workflows.\n\nStakeholder Partnership & Leadership\n\nAct as a trusted analytics partner and primary point of contact for assigned stakeholder groups.\n\nLead intake and prioritization for analytical work by clarifying goals, scoping projects, setting expectations, and communicating progress.\n\nTell clear, compelling stories with data and influence decisions through evidence-based recommendations.\n\nMentor analysts and stakeholders informally through code reviews, analytical approaches, measurement design, and best practices.\n\nOperate independently in ambiguous, fast-moving environments while knowing when to escalation risks, tradeoffs, or decisions.\n\nQualifications:\n\n5-7 years of experience in analytics, data science, quantitative strategy, or a related field.\n\nBachelors Degree\n\nAdvanced SQL skills and the ability to independently move from raw data to actionable recommendations.\n\nStrong Python experience for statistical analysis, machine learning, and automation.\n\nExperience designing and analyzing experiments, including A/B testing, causal measurement, or related methods.\n\nExperience building predictive models or applying machine learning techniques to real-world business problems.\n\nExperience with platforms such as Snowflake and Looker.\n\nStrong communication skills with the ability to translate complex analytical concepts into clear business recommendations.\n\nProven ability to influence decisions through data and build strong cross-functional partnerships.\n\nComfort operating in ambiguity with significant ownership, autonomy, and accountability for outcomes.\n\nPhysical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication\n\nPreferred Qualifications\n\nExperience deploying, operationalizing, or monitoring machine learning models in a business environment.\n\nExperience with customer lifecycle, marketplace, fintech, investment, product, or growth analytics.\n\nExperience using generative AI or LLM-based tools to accelerate analytical workflows or build practical business solutions.\n\nFamiliarity with product analytics, marketing measurement, experimentation platforms, or event instrumentation.\n\nFor 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\n\nUpon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.\n\nForge 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.\n\n#J-18808-Ljbffr","datePosted":"2026-08-18T03:54:35.127Z","dateModified":"2026-08-18T03:54:35.127Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"24bf9932a2022e976a3f9d15"},"url":"https://jobsearcher.com/jobs/24bf9932a2022e976a3f9d15"}}