Data Analyst, Operations

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, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

As a Data Analyst for Operations Analytics, you will play a critical role in supporting data-driven decision-making across operational functions at Hims & Hers. This role is focused on leveraging analytics to optimize business processes, uncover insights, and enhance efficiency. Using your skills in data analysis, visualization, and storytelling, you will build trusted data products and collaborate with cross-functional teams to address key business challenges.

You will work closely with stakeholders within Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance to analyze operational performance, identify trends, and develop actionable recommendations. This fully remote role reports directly to the Senior Manager of Operations Analytics, fostering a collaborative environment that prioritizes growth and innovation.

You Will:

• Own the accuracy and completeness of downstream operational data
• Serve as the operational data domain expert, acting as a liaison between data engineers, business analysts, and other stakeholders
• Design, develop, and maintain dashboards and reports using BI tools (e.g., Looker, Tableau) to monitor operational performance and key metrics
• Collaborate with operations teams to identify data needs and translate them into actionable insights and visualizations
• Perform in-depth analysis to uncover patterns, trends, and opportunities for process improvement
• Develop and document scalable data models and processes to ensure data accuracy, consistency, and accessibility for stakeholders
• Contribute to the automation of data workflows and reporting processes to improve efficiency
• Partner with cross-functional teams (e.g., Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance) to ensure alignment and consistency in data usage
• Communicate findings and recommendations effectively through data storytelling and presentations to technical and non-technical audiences

You Have: 

• 5-8 years of experience in data analysis, operations analytics, or a related field
• Strong proficiency in SQL and data manipulation for analysis and reporting
• Hands-on experience with modern analytics tools and technologies, including Looker, Google BigQuery, and DBT
• Solid understanding of data visualization best practices and principles
• Ability to logically connect data and system logic with business processes and requirements
• Proven ability to work with complex datasets and translate them into actionable insights
• Strong analytical skills with a focus on problem-solving and process improvement
• Excellent communication skills and the ability to explain technical concepts to non-technical audiences
• Demonstrated ability to work independently and manage multiple projects in a fast-paced environment

Preferred:

• Bachelor's degree in Mathematics, Statistics, Data Analytics or a related field
• Experience with healthcare data (e.g., HIPAA, PHI) or two-sided marketplace data
• Experience with Python or R for data analysis and automation
• Familiarity with statistical analysis or data science concepts
• Knowledge of operations metrics and KPIs across areas such as fulfillment, logistics, customer service, and supply chain
• Experience working with DBT pipelines and collaborating with Data Engineering teams
• A portfolio of past work showcasi