Lead Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Drive decision-making based on data throughout Thrive’s products and customer interactions.

• Define and monitor key metrics such as product adoption, engagement, retention, and overall customer health.

• Convert metrics into insights that inform product strategy and showcase the platform's impact.

• Collaborate with product managers, designers, and engineers from the discovery phase through to delivery.

• Work alongside customer success and sales teams to provide data regarding product effectiveness, aiding data-informed health and wellbeing strategies.

• Identify, develop, and manage methods to automate, scale, and enhance data processes.

• Act as a data subject-matter expert for internal teams, advocating for data interests throughout Thrive.

• Engage in projects aimed at deepening understanding of employee health and wellbeing, as well as customer interests.

• Oversee comprehensive measurement for new product initiatives, encompassing success metrics, instrumentation, and analyses of adoption, engagement, and retention.

• Create analyses and narratives for customer Quarterly Business Reviews (QBRs) and executive assessments.

• Collaborate with fellow analysts to address stakeholder data requirements and develop a long-term data strategy.

• Mentor and coach analysts, elevating the technical proficiency of the team.

⛳️ Requirements

• A minimum of 5 years of experience in a product or customer analyst role.

• Experience in customer-facing roles and stakeholder management, preferably within a consulting or B2B SaaS environment.

• Capability to distill complex datasets into straightforward, actionable insights for non-technical audiences.

• Proven ability to initiate and manage projects that foster long-term process and data improvements.

• Extensive hands-on experience with SQL.

• Preferably, experience with SQL transformations utilizing dbt.

• Proficiency in Python or R for data analysis, including statistical methodologies.

• Experience with contemporary data stack tools, such as Databricks, dbt, and Looker.

• Familiarity with using, maintaining, and/or developing automated systems and processes for recurring data requirements is preferred.

• A self-directed approach with the ability to impose order and structure in ambiguous situations.

• Strong collaboration skills with analysts to enhance team impact.

🏝️ Benefits

• Mission-driven impact.

• Opportunities for career growth and development.

• A supportive, human-centric workplace culture.

• Wellness perks and benefits.

• Comprehensive medical, dental, and vision insurance.

• 401(k) plan with a company match.

• Generous paid time-off policies.

• Thrive Time: additional paid leave following significant projects or demanding work periods.

• Performance-based bonuses.

• Equity options.