Product Analyst
hace 4 semanas
We're revolutionizing the fitness & wellness industry, and we're looking for talented people to help us do it. Mindbody + ClassPass bring together the best of both sides of the market: Mindbody is the industry's most trusted all-in-one technology platform; ClassPass is one of the most popular apps for fitness & self-care enthusiasts. Together we're partnering with more than 70,000 fitness studios, gyms, salons, and spas around the world. We're not just another tech company—we're far and away the leader of our industry. So join the team, work with mission-led people, and enjoy amazing benefits. Let's see what we can accomplish together
About the right team memberMindbody is seeking a highly motivated Product Analyst to support our team's mission of creating and maintaining a world-class data environment. This role sits with our Business Intelligence team, which is at the center of everything data-related at Mindbody, and works cross-functionally with stakeholders to understand business needs, build data models that support tracking critical metrics, and provide analytical insights that drive business strategy. This opportunity is an excellent fit for a candidate that is passionate about contributing to sitting on a centralized data team, brings experience with product analytics and supporting product teams through actionable insights, and has a strong desire to contribute to the operational and strategic initiatives at the company. This role is focused on the ClassPass Product organization, though sits on the centralized Business Intelligence team whose responsibilities span both Mindbody and ClassPass.
About the role- Collaborate with Product teams to understand reporting needs, identify and develop data models in support of self-service, advise on event tracking definitions, and empower self-service in Mixpanel and other product analytics tools.
- Monitor performance trends and identify areas of improvement; conduct ad hoc analysis into complex product funnels and ongoing experiments.
- Write, QA, and maintain/update the SQL logic underpinning our core data models which power all business KPI reporting at the company.
- Build and maintain dashboards and data sources that clearly surface key insights, while collaborating with PMs to address data needs for upcoming features on the product roadmap.
- Create and manage a roadmap with Product stakeholders to define goals, prioritize work, and communicate expected timelines and deliverables.
- Proactively identify gaps in analytics infrastructure and present solutions.
- Drive generative analysis to identify unique product insights.
- Bachelor's degree, quantitative field preferred.
- 3+ years of experience in Data Analytics or similar role that involves user behavior analysis, preferably in a B2C setting.
- Prior experience working with Product teams and Product Analytics tools (Mixpanel, Heap, Segment, Optimizely, etc.).
- Advanced SQL skills and experience developing data models in cloud data warehouses (Snowflake, dbt).
- Familiarity with BI tools and platforms (Tableau, Looker, Excel).
- Proficiency with ad-hoc and exploratory analysis using SQL, Python and/or R.
- Experience with experimentation design and analysis preferred.
- Ability to present complex analysis in a clear and understandable manner to both technical and non-technical stakeholders.
- History building strong relationships across teams and collaborating with stakeholders at all levels to understand data needs and business impact.
- Familiarity with road mapping or sprint cycles; is able to communicate priorities and meet deadlines.
Sound like the role for you? We'd love to hear from you Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes.
Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
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