Join Wellhub as a Senior Data Analyst specializing in growth, where you'll leverage data to drive user acquisition, retention, and expansion strategies in the wellness industry. Analyze complex datasets to inform business decisions and optimize performance metrics for our global platform.

Wellhub is revolutionizing corporate wellness by connecting employees to a world of fitness and health options through our innovative platform. As a Data Analyst Senior Specialist - Growth, you will play a pivotal role in fueling our expansion by turning data into actionable insights that enhance user engagement and business growth.

Your responsibilities will include designing and executing advanced analytics projects to identify growth opportunities, such as optimizing user onboarding flows, analyzing retention patterns, and measuring the impact of marketing campaigns. You'll collaborate closely with product, marketing, and engineering teams to develop data-driven strategies that scale our user base globally.

Key tasks involve querying large datasets to uncover trends, building predictive models for churn reduction, and creating dashboards that track key performance indicators like acquisition cost, lifetime value, and engagement metrics. You'll also contribute to experimentation frameworks, ensuring rigorous statistical validation of growth initiatives.

This role requires a blend of technical expertise and business acumen, with opportunities to influence high-level decisions at Wellhub. If you're passionate about using data to promote healthier lifestyles worldwide, join our dynamic team and help shape the future of wellness.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred.
• 5+ years of experience in data analysis, with a focus on growth marketing or product analytics.
• Proficiency in SQL, Python, or R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau, Looker, or Power BI.
• Strong understanding of A/B testing, cohort analysis, and funnel optimization.
• Familiarity with big data technologies like Google BigQuery or AWS Redshift.
• Excellent communication skills to present insights to non-technical stakeholders.
• Ability to work in a fast-paced, remote environment.

• Competitive monthly salary range reflecting seniority and location.
• Fully remote work with flexible hours to support work-life balance.
• Comprehensive health and wellness benefits, including gym memberships and mental health support.
• Professional development opportunities, including conferences and certifications.
• Generous paid time off and parental leave policies.
• Access to cutting-edge tools and technologies in a collaborative team environment.