Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Computer Science, or related field)
6+ years of experience in product, business, or marketplace analytics; 2+ years in a managerial role
Proficiency in SQL with advanced query optimization skills
Strong understanding of analytics frameworks like cohort retention and multi-touch attribution
Experience with modern data ecosystems (e.g., Snowflake, dbt, BI tools)
Hands-on experience with AI tools to enhance analytics workflows
Exceptional communication skills for translating complex data into actionable insights
Responsibilities
Manage and mentor the analytics team, establishing best practices for growth
Act as the primary analytics partner for cross-functional teams, translating business problems into data initiatives
Establish a centralized framework for analytics resource prioritization aligned with business goals
Design and deploy predictive models to optimize marketplace mechanics
Execute and analyze A/B tests and incrementality frameworks for marketing initiatives
Deliver actionable insights and recommendations to executive leadership
Collaborate with Data Engineering to define requirements for core data models
Benefits
Flexible work environment
Opportunities for professional development and career growth
Collaborative and innovative company culture
Access to cutting-edge analytics tools and technologies
Equity participation in a growing marketplace
Full Job Description
About the Role
We are seeking a strategic and hands-on Senior Manager to anchor, scale, and lead our data analytics function. As our first dedicated analytics leader, you will serve as the principal data partner to Marketing, Finance, Product, and Operations. You will also balance strategic leadership (defining core KPIs, managing stakeholder intake, and mentoring a growing team) with high-impact execution, presenting insights directly to executive leadership. This role is ideal for a builder who thrives in high-growth environments and wants to shape the data culture of a scaling marketplace.
What You Will Do
Team Leadership & Scaling: Manage and mentor our founding analyst and senior analytics engineer, establishing best practices for code review, documentation, and career growth
Cross-Functional Partnership: Act as the primary analytics partner for Product, Marketing, Finance, and Operations, translating complex business problems into structured data initiatives
Data Strategy & Governance: Establish a centralized intake and prioritization framework to align analytics resources with high-impact business goals; define and own core company KPIs to ensure a single source of truth
Advanced Analytics & Modeling: Remain hands-on in the data; design and deploy predictive models (e.g., LTV, churn, propensity, and demand forecasting) to optimize marketplace mechanics
Experimentation & Attribution: Design, execute, and analyze A/B tests and incrementality frameworks, including holdout designs for marketing promotions and customer loyalty initiatives
Insights & Executive Communication: Proactively surface growth opportunities and deliver narrative-driven, actionable recommendations to leadership to guide strategic decision-making
Data Architecture Collaboration: Partner closely with Data Engineering to define requirements for core data models, ensuring downstream data structures support robust business analysis
Qualifications
Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Computer Science, or a related field)
6+ years of progressive experience in product, business, or marketplace analytics; 2+ years of experience managing, mentoring, or leading technical reports
Proficiency in SQL (advanced CTEs, window functions, query optimization) and hands-on experience building predictive models using Python or R
Strong command of analytics frameworks such as cohort retention, multi-touch attribution, funnel analysis, and user-journey mapping
Comfortable operating within a modern data ecosystem (e.g., Snowflake, dbt, BI tools like Omni/Looker/Tableau)
Hands-on experience leveraging AI tools (e.g., Claude, LLMs, AI coding assistants) to accelerate analytics workflows and code production
Exceptional communication skills with the ability to distill complex quantitative findings into clear business strategies for executive and non-technical audiences
The base salary range listed is a guideline. Actual compensation is determined based on skills, experience, and the impact you bring. Total compensation includes base salary, bonus, and equity.
