Lead Data Analyst, Hims & Hers

• 8-10 years of experience in data engineering, business intelligence, operations, or analytics, with a focus on fulfillment and operational excellence
• Advanced proficiency in SQL, with intermediate-to-advanced experience in R or Python for data analysis and automation
• Hands-on experience with tools like Looker, Google BigQuery, and DBT, with the ability to design scalable analytics solutions
• Exceptional ability to design and execute complex analysis projects, including statistical analysis and process optimization
• Superb written and verbal communication skills, with experience presenting insights and recommendations to senior, cross-functional stakeholders
• Strong ability to contextualize data and insights within the business landscape, effectively communicating findings to both technical and non-technical teammates
• Proven ability to thrive in fast-paced, high-growth, and rapidly changing environments, delivering results under pressure

Desirable

• As a Lead Data Analyst for Operations Analytics, you will act as a strategic leader in leveraging analytics to drive efficiency, scalability, and innovation across Hims & Hers’ operational functions
• You will own the design, execution, and delivery of advanced analytics projects, partnering with cross-functional teams to uncover insights and deliver actionable recommendations
• Your expertise in operational data and storytelling will be critical in shaping business strategies and fostering data-driven decision-making at scale
• This lead-level role will involve close collaboration with teams spanning Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance
• Reporting to the Senior Manager of Operations Analytics, you’ll operate in a fully remote and highly collaborative environment that values curiosity, growth, and innovation
• Mentor junior analysts and assist in building a high-performance team of analysts capable of gathering, synthesizing, and analyzing data quickly and accurately
• Design and implement scalable platforms and processes to enable data-driven decisions across multiple business lines, modalities, and treatment types
• Tackle complex problems by determining proper analytical methodologies, deriving actionable insights, and presenting conclusions to cross-functional stakeholders
• Establish and measure key performance indicators (KPIs) that align with throughput and business outcomes, enabling precise performance tracking
• Identify growth and operational optimization opportunities by structuring and executing experiments in collaboration with cross-functional teams; drive knowledge-sharing and adoption of findings across the organization
• Proactively initiate and advocate for bold, high-impact strategic opportunities derived from the team’s analytics work, influencing executive-level decisions
• Leverage internal and external data to uncover growth opportunities, providing actionable, data-driven recommendations for business expansion
• Partner with teams across Data Engineering, Operations, and Finance to define, build, and execute a data-informed business strategy and operational roadmaps
• Lead the creation of high-quality dashboards, reports, and insights tailored for executive-level consumption, driving informed decision-making at all levels