Lead Data Analyst - Operations & Fulfillment

​​About the Role:

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 Director of Operations Analytics, you’ll operate in a fully remote and highly collaborative environment that values curiosity, growth, and innovation.

You Will:

• 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

You Have:

• 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

Preferred:

• 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

 Benefits (there are more but here are some highlights):

• 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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