Lead Data Analyst (Marketplace)

TL;DR

Lead Data Analyst (Marketplace): Driving supply-related analytics priorities for Tasker growth, activation, and retention with an accent on analytical frameworks, data modeling, and revenue growth. Focus on optimizing the Tasker journey, designing operational tests, and translating complex data into actionable insights for senior leadership.

Location: Hybrid (San Francisco, CA). Must be based in the US and work from the San Francisco office two days a week (Tuesdays & Wednesdays).

Salary: $127,000 - 170,000 base pay

Company

A marketplace platform that connects people with Taskers to handle everyday home tasks, operating in partnership with IKEA.

What you will do

• Build and implement analytical frameworks for Tasker acquisition, churn, LTV, and overall supply health across operating metros.
• Own end-to-end data model builds for the Tasker journey, identifying registration bottlenecks and optimizing the path to fulfillment.
• Drive revenue growth through rigorous root cause analysis and the design of targeted operational tests to improve fulfillment ratios.
• Lead cross-functional projects with Product and Engineering to influence roadmaps and launch health-improving platform tests.
• Act as a lead storyteller, translating complex data into actionable visualizations for Director-level and above stakeholders.
• Provide technical coaching and endorse data best practices to ensure operational excellence within the Commercial Analytics team.

Requirements

• BS/MS in economics, mathematics, statistics, or equivalent analytical experience.
• 6-10 years of experience using analytics to drive business decisions across strategy, marketing, or operations.
• 6-8 years of expert SQL experience, including windowing functions, CTEs, and building base data models.
• Proficiency in building data visualizations using tools like Looker, Tableau, or Sigma.
• Excellent communication skills with experience presenting to executive leadership.
• Must be able to work from the San Francisco office on Tuesdays and Wednesdays.

Nice to have

• Experience with Python, pandas, and data science packages.
• Proficiency in statistical techniques such as regression, power analysis, and clustering.
• Technical understanding of Airflow, dbt, and Snowflake.
• Experience operating analytics for a two-sided marketplace or global brand.

Culture & Benefits

• Hybrid work model combining flexibility with regular in-person collaboration.
• Employer-paid health insurance and 401k match with immediate vesting for US employees.
• Generous flexible time off, including two company-wide closure weeks.
• Wellness, productivity, and education stipends, plus IKEA discounts.
• Reproductive health support and a diverse, inclusive corporate culture.