Temp Senior Data Analyst

Linden Lab•San Francisco, CA

8d•$70•Hybrid

About The Position

This role follows a Monday through Thursday in-office schedule at our San Francisco headquarters, with Fridays designated as a remote workday. We’re looking for a temporary Senior Data Analyst to own complex, high-impact problem spaces and data-driven reasoning to drive measurable business outcomes. You’ll translate defined business problems into clear analytical strategies, delivering insights that shape product direction, operational strategy, and financial performance. In this role, you’ll partner cross-functionally with Product, Engineering, Finance, and Marketing to align on metrics, influence decision-making, and prioritize investments. You’ll also help elevate analytical standards by improving data quality, mentoring others, and driving best practices across the team. This is a temporary independent contributor role, reporting to the Director, Strategic Insights, focused on advanced analytics and generating strategic insights across product, operational, and financial domains. You will lead end-to-end analytical initiatives, including defining success metrics, designing experiments, building models, and delivering insights that inform key business decisions. Operating at the intersection of product analytics, business strategy, and data modeling, working across domains such as user behavior, monetization, retention, and financial performance to provide a holistic view of the business.

Requirements

5–8+ years of experience in data analysis, business intelligence, data science, or a related field.
Strong proficiency in SQL and experience working with large, complex datasets.
Advanced experience with analytical programming languages (e.g., Python or R) for data analysis, modeling, and automation.
Deep understanding of statistical methods, including experimentation design, hypothesis testing, and causal inference.
Proven ability to independently structure and solve ambiguous business problems with limited guidance.
Experience leading cross-functional analytical projects and influencing stakeholders across multiple teams.
Strong data visualization and storytelling skills, with the ability to communicate insights clearly to executive and non-technical audiences.
Demonstrated ability to translate data into actionable recommendations that drive business outcomes.
Experience mentoring and developing junior analysts, providing guidance on analytical approaches and best practices.
Strong understanding of data modeling, data quality, and data governance practices.
Ability to manage multi-week analytical projects independently, including planning, execution, and delivery.
Demonstrated ability to make tradeoffs between speed and rigor, balancing immediate insights with long-term analytical integrity.

Responsibilities

Cross-functional and strategic decision-making through the ownership of complex analyses that influence product direction, operational strategy, and financial outcomes.
Shape how teams understand performance, prioritize investments, and evaluate success. Work at this level often affects multiple teams or functions and contributes to long-term improvements in product performance, revenue, and operational efficiency.