Marketing Data Analyst

San Francisco

Applications have closed
Tempo logo

Posted 8 months ago

Tempo is the first home fitness system that tracks your motion and gives you instant feedback to improve your form—providing a more effective and safer workout. Using 3D sensors and A.I., Tempo counts your reps, recommends weights, and enables expert trainers to guide you in real-time. Our flagship product, the Tempo Studio, is a complete home gym that packages a 42" HD touchscreen that streams live and on-demand class, a 115 lb weight set, and other accessories in a sleek, free-standing design.
Founded in 2019 and based in San Francisco, Tempo’s mission is to bring the hands-on guidance of quality personal training into your home—empowering you to hit your fitness goals on your terms. The all-star fit tech team includes alums from Apple, Google, Netflix, Orangetheory, Equinox, and TRX, and is backed by $18.8M in funding from leading investors including Founders Fund, Khosla Ventures, DCM, and SignalFire.
We’re looking for a Data Analyst to own analytics, reporting, and analysis specifically supporting our Marketing and Operations team. You will work closely with leadership to provide data-driven insights and help identify the best opportunities to increase acquisition and engagement for Tempo’s products. If you’re passionate about fitness and want to join a fast growing startup, then we would love to meet you! 


  • Partner with Marketing and Operations teams to understand business strategy, challenges and goals in efforts to discover areas for optimization and opportunity.
  • Deliver deep-dive analysis of marketing campaigns, while putting forward hypotheses and recommendations for future initiatives and programs.
  • Define metric calculations, partnering with Operations and Product in developing self-serve dashboards to monitor KPIs and success metrics.
  • Utilize proprietary and third-party tools (business intelligence platform, web analytics platforms, and ad-serving technologies) to report and analyze product, customer, pricing and revenue data.
  • Own customer acquisition channel reporting suite along with marketing and web analytics stack.
  • Help evolve and strengthen marketing attribution through various lift analysis and beyond.
  • Develop CRM & lifecycle cohort-based communication reporting and analytics practice.
  • Drive sophisticated customer segmentation analysis and cohort level LTV modeling.


  • 5 years of relevant experience in a quantitative focused analyst or analytics role in a fast-paced data-driven environment.
  • Solid understanding of data technology and best practices (Hadoop/Hive/R/Python, etc.)
  • Proficient in SQL and handling big data (experience with Python or other scripting languages a plus)
  • Meticulous attention to detail with an ability to learn quickly.
  • Solid understanding of multivariate testing, attribution modeling, media mix modeling, lift analysis, and customer segmentation highly preferred.
  • Strong communication skills and the ability to explain complex analyses to both technical and non-technical audiences.
  • Experience with and data visualization tools a must.
  • Must be able to manage multiple projects and work with key stakeholders across different departments.
  • Bachelor's degree in finance, math, statistics or economics preferred.
Job tags: Big Data Business Intelligence Economics Finance Hadoop Marketing Python R SQL
Job region(s): North America