Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.
Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com .
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.
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.
Advanced degree (MS) in Mathematics, Statistics, Data Analytics, or a related field.
Familiarity with healthcare data, including compliance with HIPAA/PHI, or experience with two-sided marketplace data.
Demonstrated ability to challenge conventional approaches and drive innovative, high-impact decisions.
Knowledge of operational KPIs and best practices across fulfillment, logistics, supply chain, and customer service.
Proficient understanding of statistical analysis, data science concepts, experimentation and how to implement that knowledge into the functional areas within Operations.
Experience working with DBT and implementing best practices with modeling data.
Competitive salary & equity compensation for full-time roles.
Unlimited PTO, company holidays, and quarterly mental health days.
Comprehensive health benefits including medical, dental & vision, and parental leave.
Employee Stock Purchase Program (ESPP).
Employee discounts on hims & hers & Apostrophe online products.
401k benefits with employer matching contribution.
Offsite team retreats.
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We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
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