Turn/River Capital is a private equity firm that applies a proprietary growth engineering strategy to investing, partnering with software businesses to accelerate growth and build enduring value. The firm’s team of equal parts investors and operators provides hands-on operational support and the flexible capital to systematically scale marketing, sales and customer success at its portfolio companies. Founded in 2012 and based in San Francisco, Turn/River has $5.6bn in committed capital and invests globally with a focus on North America and Europe.
About the RoleWe are seeking a Senior Manager, Data Analytics to join our Operations team. In this role, you will work directly with Turn/River Operations leaders and executives across a portfolio of B2B SaaS companies to solve high-impact growth challenges through data.
Rather than supporting a single company, you'll work across multiple portfolio businesses, independently owning high-impact initiatives from end to end—framing ambiguous questions, identifying the right data and metrics, validating assumptions, performing rigorous analysis, and delivering clear, actionable recommendations that influence executive decision-making.
This is a highly collaborative role that combines deep technical expertise with strong business acumen. You'll collaborate across Sales, Marketing, Customer Success, Product, Investment, and Data & Analytics teams to translate data into strategic insights, uncover growth opportunities, and help leaders make better, faster decisions.
Key responsibilities include:
Partner with Turn/River Operations leaders and portfolio company executives to identify growth opportunities and solve high-impact business problems through data.
Analyze marketing, sales, customer success, and product usage data to identify trends, forecast sales, predict customer churn, uncover expansion opportunities, and optimize GTM performance.
Lead high-impact business initiatives across the portfolio, partnering with executives to navigate ambiguity, prioritize the right opportunities, and deliver data-driven recommendations that drive measurable business outcomes.
Validate the underlying data, metric definitions, and assumptions before making recommendations. Recognize when the available data isn't sufficiently reliable to support a decision, and partner with broader Data & Analytics teams to resolve gaps or inconsistencies.
Translate complex analyses into clear, actionable recommendations that influence executive decision-making and business strategy.
Balance speed with analytical rigor, knowing when additional analysis is needed and when there's enough evidence to confidently move forward.
Develop analytical frameworks, predictive models, and scalable reporting that help portfolio companies better understand business performance and make faster, data-driven decisions
Build and maintain dashboards that surface key business metrics, proactively identify risks, and highlight opportunities for growth.
Collaborate with cross-functional stakeholders on ad hoc analyses to answer ambiguous business questions and support strategic initiatives.
Conduct portfolio-level analyses to identify trends and best practices that can be leveraged across Turn/River's portfolio.
Partner with the Investment team to support commercial due diligence for prospective investments and acquisitions through data-driven analysis.
Contribute to the development of analytical frameworks, reusable methodologies, and intellectual property that strengthen Turn/River's operating advantage.
Use AI-native tools and workflows to accelerate analysis, automate repeatable work, and improve the speed and quality of decision-making.
Identify, recommend, and implement AI-enabled solutions that improve operational efficiency and create scalable capabilities across the firm and portfolio companies.
5+ years of experience in a Data Scientist, Product Analytics, Marketing Analytics, Revenue Analytics, or another highly analytical role.
Strong proficiency in SQL and Python.
2+ years of experience building and maintaining Tableau dashboards (or similar BI tools).
Experience with ETL/data transformation tools.
Experience partnering with Sales, Marketing, Customer Success, RevOps, or other GTM organizations.
Demonstrated ability to communicate complex analytical findings to executive and non-technical audiences and translate them into actionable business recommendations.
Demonstrated ability to independently own ambiguous business problems from question framing through recommendation.
Strong project management, organizational, stakeholder management, and communication skills.
Very data-driven, intellectually curious, and comfortable solving ambiguous business problems.
Experience with Google Cloud products preferred.
B.A./B.S. in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, or Business Analytics.
San Francisco, hybrid work model.
The annual base salary range for this role is $227,500 - $237,500, plus an annual performance bonus, taking into account numerous variable factors that are considered in making compensation decisions including but not limited to skill sets, experience, training, licensure, certifications, and organizational requirements.
The below benefits are offered to full-time employees based out of our San Francisco office:
An opportunity to make an impact across multiple high-growth tech firms
Competitive salary and discretionary bonus
Medical, dental, and vision insurance covered 100% for employee & dependents
Flexible vacation policy
401K matching
Paid parental leave
Commuter benefits
Health and Wellness benefits
Household Services benefits
Home Office benefits
Annual Home Office Equipment Reimbursement
Donation matching
Work from home Monday & Friday
Energetic work environment with snacks and weekly team lunches 3x per week, centrally located near multiple public transit lines
A company that enjoys having fun: holiday parties, annual company offsite and retreat, annual summer "work from anywhere" month
Turn/River provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, natural hair styles, age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under any applicable state, or federal leave act), domestic violence victim status, political affiliation, and any other characteristic or status protected by state or federal law.
Skills Required
- 5+ years experience in a data analyst, data scientist, or analytical role
- Strong proficiency in SQL
- Strong proficiency in Python
- 2+ years building and maintaining Tableau dashboards
- Experience with ETL tools
- Experience with Git
- B.A./B.S. in a quantitative field (mathematics, statistics, engineering, business analytics)
- Very data-driven, intellectually curious, and numerically inclined
- Strong project management, organizational, process management, and communication skills
- Experience with Google Cloud products
What We Do
Turn/River Capital is a private equity firm that partners with software and SaaS businesses to accelerate growth and build enduring value. By combining flexible capital with a proprietary growth engineering strategy and a deep operational team of software operators and investors, the firm helps capital-efficient, data-driven companies transform from beloved products into market-leading AI platform leaders.









