Lead Data Analyst — Drive Product & Customer Impact

Thrive Global Holdings, Inc.

United States

Remote

USD 145,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Thrive Time
Health benefits
401(k) company match
Wellness programs

Job summary

Thrive is seeking a Lead Data Analyst to drive data-informed decisions across product and customers. You will define metrics, translate data into insights, and shape product strategy while supporting customer health initiatives.

You’ll collaborate with product, design, and engineering, and partner with customer success and sales to ensure data supports the customer journey and business outcomes.

Qualifications

  • 5+ years in product or customer analytics, startup or health-tech experience.
  • Ownership in customer-facing and stakeholder management (consulting or B2B SaaS).
  • Translate complex datasets into actionable insights for nontechnical audiences.
  • Initiate long-term improvements (data governance, scalable processes).
  • Hands-on SQL experience, preferably with dbt.
  • Proficiency in Python or R for data analysis, with statistics.
  • Experience with modern data stack: Databricks, dbt, Looker.
  • Experience building automated systems for recurring data needs.

Responsibilities

  • Identify, create, and own ways to automate, scale, and improve data processes.
  • Serve as a data subject-matter expert for Thrive’s internal teams.
  • Pursue projects that deepen understanding of employee health and customer interests.
  • Own measurement for new product initiatives end-to-end, from metrics to instrumentation.
  • Partner with customer success and sales to tell the impact story for QBRs.
  • Collaborate with analysts to meet stakeholder data needs and raise the team’s impact.
  • Mentor and coach analysts, raising the team’s technical bar.

Skills

SQL
Python/R
Stakeholder management
Data storytelling
Analytical thinking
Leadership

Tools

Databricks
dbt
Looker

Job description

Thrive is seeking a Lead Data Analyst to drive data-informed decisions across product and customers. You will define metrics, translate data into insights, and shape product strategy while supporting customer health initiatives.

You’ll collaborate with product, design, and engineering, and partner with customer success and sales to ensure data supports the customer journey and business outcomes.

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