Remote opportunity at
hims & hersStaff Analyst, Product & Marketing
Hims & Hers is a publicly traded health and wellness platform listed on the NYSE under the ticker HIMS. The organization focuses on modernizing healthcare by…
Career Tools
About This Role
Hims & Hers is a publicly traded health and wellness platform listed on the NYSE under the ticker HIMS. The organization focuses on modernizing healthcare by offering affordable, personalized access to care and treatment modalities. The company is seeking a remote Staff Analyst, Product & Marketing to act as an analytical partner across product development and marketing groups. In this position, the professional will guide strategic planning and channel investments…
Job Description
Hims & Hers is a publicly traded health and wellness platform listed on the NYSE under the ticker HIMS. The organization focuses on modernizing healthcare by offering affordable, personalized access to care and treatment modalities.
The company is seeking a remote Staff Analyst, Product & Marketing to act as an analytical partner across product development and marketing groups. In this position, the professional will guide strategic planning and channel investments for the entire customer lifecycle, spanning acquisition, conversion, retention, and expansion. Collaborating with product managers, marketing specialists, engineers, designers, and data scientists, the role shapes experimentation frameworks and optimization initiatives. Responsibilities include designing A/B tests, applying causal inference methods, analyzing conversion funnels, evaluating paid acquisition channels, and building predictive models in partnership with data science teams. The ideal candidate will combine advanced technical skills in SQL, Python, or R with business acumen to translate complex data into actionable strategies.
The position reports directly to the Director of Product and Marketing Analytics.
Responsibilities
- Partner strategically with product and marketing stakeholders to influence roadmaps and channel investments through data insights
- Manage experimentation strategies by designing tests, determining sample sizes, setting success metrics, and interpreting results
- Utilize causal inference approaches such as propensity score matching and difference-in-differences to identify drivers of metric changes
- Collaborate with data science to build predictive models covering customer lifetime value, churn, and conversion propensity
- Analyze conversion funnels end to end to locate drop-off areas and work with product teams on improvements
- Evaluate paid performance across SEM, social media, and CRM to direct optimization and incrementality testing
- Collaborate with engineering and analytics teams to establish tracking requirements and maintain data integrity
- Build scalable modeling solutions and automated outputs using Python, R, and SQL
- Develop Looker dashboards to empower internal self-service analytics capabilities
- Segment users by behavioral, demographic, and psychographic traits to personalize lifecycle communications and targeting
- Mentor junior analysts while establishing key performance indicator frameworks for new initiatives
Requirements
- Minimum of eight years of professional experience in analytics, data science, or a related quantitative field
- At least five years of experience designing, running, and analyzing A/B tests within product or marketing settings
- Demonstrated experience working alongside data science teams to create predictive models like LTV or churn using Python or R
- Extensive background collaborating with data engineering teams on production data pipelines
- Proven expertise in data modeling, statistics, experimental design, and statistical inference
- Practical experience applying causal inference techniques outside standard A/B testing
- Familiarity with subscription business metrics such as cohort tracking, churn, and conversion funnel analysis
- Direct background in marketing analytics encompassing paid channel performance, CRM insights, attribution, or incrementality testing
- Advanced proficiency in SQL paired with extensive experience using Looker or Tableau
- Demonstrated ability to convey technical findings clearly to leadership and non-technical stakeholders
Qualifications
- Bachelor of Science or Arts degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field
- Experience utilizing multi-touch attribution, media mix modeling, or incrementality methodologies
- Familiarity with pricing tests and price elasticity modeling
- Knowledge of subscription healthcare models or telehealth concepts
- Experience with experimentation tools like GrowthBook
- Practical background using Databricks, Airflow, and dbt
Core Skills
Benefits
- Competitive salary and equity compensation
- Unlimited paid time off alongside company holidays and quarterly mental health days
- Comprehensive health insurance including medical, dental, and vision coverage, plus parental leave
- Employee Stock Purchase Program
- Employer-matched 401(k) retirement benefits
- Offsite team retreats
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting indicates that this is a remote role.
What is the salary range for this job?
The salary ranges from USD 155,000 to 190,000 per year.
What level of experience is required?
Candidates must have at least eight years of experience in analytics, data science, or a related quantitative discipline, including five or more years designing and analyzing A/B tests.
What employment type is this role?
This is a full-time position.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.