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Data Analyst
Los Angeles, California, United States
<div class="content-intro"><p>Bold is the leading healthy aging platform, offering personalized, evidence-based exercise programs for Medicare members that help prevent falls, reduce musculoskeletal pain and disability, and increase physical activity levels. Innovative Medicare health plans and provider groups rely on Bold to deliver engaging, clinically sound exercise programs that members love to use and that achieve significant health outcomes. Bold is backed by leading investors, including Rethink Impact, Andreessen Horowitz, Khosla Ventures, GingerBread Capital, Primetime Partners, and Maveron.</p></div><h2>What we're looking for</h2> <p>Bold is looking for a full-time&nbsp;<strong>Data Analyst to join our growing Product team</strong>. The ideal candidate is excited about data and sees every member interaction as an opportunity to build stronger experiences, both within and outside of the product, to increase enrollment, engagement, and outcomes for our members.</p> <h2>Job Description</h2> <p>As a Data Analyst, you will play a vital role in defining and tracking key member metrics, benchmarks, and outcomes. You will be responsible for monitoring product adoption, retention, and engagement, providing data-driven insights that inform decision-making across various parts of the business, including product, customer success, marketing, member experience, and more. Additionally, you will contribute to scaling analytics throughout the organization, ensuring data-driven practices are integrated into our growing team.</p> <h2>Key Responsibilities</h2> <ol> <li>Build and maintain recurring reports to evaluate the performance of product features and initiatives.</li> <li>Establish, evaluate, and report on key performance metrics.</li> <li>Collaborate with product managers and cross-functional stakeholders to provide analysis support on various projects and initiatives.</li> <li>Conduct ad-hoc data projects focusing on understanding user behavior and identifying opportunities and risks.</li> <li>Dive into large datasets to uncover insights and provide impactful recommendations to team members.</li> <li>Visualize and communicate data analysis findings to Bold's leadership team and other stakeholders.</li> <li>Conduct quality audits to ensure data integrity and accuracy; identify problems or risks, propose and support solutions.</li> </ol> <h2>Compensation:</h2> <p>The annual salary for this role is $70,000 to $80,000.</p> <h2>About You:</h2> <ul> <li>3+ years of experience in data analysis, advanced analytics, statistics, and data visualization.</li> <li>Experience in defining KPIs, statistical analysis, and experimental design with a track record of influencing high-level business decisions.</li> <li>Strong SQL skills, with familiarity in building and reviewing data science models using Python/R considered a plus.</li> <li>Experience with web and behavioral analytics tools like Google Analytics, MixPanel, and Amplitude.</li> <li>Ability to effectively communicate insights through data, presenting information in a digestible and actionable manner.</li> <li>Demonstrated experience identifying opportunities for product improvement and evaluating their feasibility.</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p><div class="content-conclusion"><h2>Benefits:</h2> <ul> <li>Comprehensive health, dental, and vision insurance</li> <li>12 weeks of paid parental leave</li> <li>Company-sponsored life insurance</li> <li>Unlimited PTO</li> <li>401(K) after 6 months of employment</li> <li>Monthly fitness stipend</li> <li>One-time stipend for home office setup</li> </ul> <p>Age Bold, Inc. is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We do not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, pregnancy status, national origin, disability, veteran status, or any other factor prohibited by law.</p> <p>&nbsp;</p></div>