📌 Core Information
🔹 Job Title: Senior Product Analyst - Subscription Growth
🔹 Company: Strava
🔹 Location: San Francisco, California, United States
🔹 Job Type: Full-time, Hybrid (3 days on-site)
🔹 Category: Software Development
🔹 Date Posted: May 1, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (Hybrid)
🚀 Job Overview
Key aspects of this role include:
- Analyzing data to uncover insights and drive subscription growth and retention
- Collaborating with cross-functional teams to inform decisions and set strategy
- Designing and interpreting A/B tests to improve product experiences
- Ensuring data quality and tracking on product surfaces
- Building exploratory dashboards and providing critical analytical reporting
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with various teams.
📋 Key Responsibilities
✅ Analyze data to uncover insights that deepen understanding of the subscriber journey, identifying opportunities to grow subscriptions, reinforce value, and improve retention.
✅ Collaborate closely with product managers and cross-functional partners to inform decisions and set strategy within a product team.
✅ Advise business partners on A/B test design and interpretation while upholding experimentation best practices within and across teams.
✅ Evaluate data tracking and quality on product surfaces, and collaborate with engineers to implement solutions where needed.
✅ Provide the “source of truth” for internal consumers by owning critical analytical reporting and building exploratory dashboards.
✅ Collaborate with the rest of the data organization at Strava to collectively improve our technological craftsmanship.
ASSUMPTION: This role requires a balance of independent work and collaboration, with a focus on driving data-informed decisions.
🎯 Required Qualifications
Education: Bachelor’s degree in a quantitative field such as math, statistics, physics, economics or data science
Experience: 4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech
Required Skills:
- Proficient in SQL and experience with Business Intelligence tools (e.g., Tableau, Amplitude)
- Experience defining and building key metrics and dimensions to monitor product and business performance
- Experience with experimentation and A/B testing, including design, implementation, and methodologies for analyzing and interpreting results
- Hands-on experience working with statistical programming languages (e.g., R, Python) for data wrangling and modeling
- Experience managing concurrent projects and meeting goals, even in the context of competing deadlines and priorities
- Experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and long-term retention
- Proven track record of working closely on global business strategy with an understanding of financial accounting impacts
Preferred Skills:
- Familiarity with data pipeline concepts (e.g., ETL, scripting common analysis workflows)
- Experience with data visualization tools (e.g., Looker, Domo)
ASSUMPTION: Candidates should have a strong foundation in quantitative analysis and be comfortable working with large datasets.
💰 Compensation & Benefits
Salary Range: $155,000 - $182,000 USD per year (base pay only, does not include equity or benefits)
Benefits:
- Health, dental, and vision insurance
- 401(k) plan with company matching
- Flexible time off
- Parental leave
- Commuter benefits
- Professional development opportunities
Working Hours: Full-time, typically 40 hours per week, with flexible hours and a hybrid work arrangement (3 days on-site)
ASSUMPTION: The salary range provided is an estimate based on market data for similar roles in the San Francisco Bay Area. Benefits may vary based on employment status and location.
📌 Applicant Insights
🔍 Company Context
Industry: Software Development, specifically fitness and activity tracking
Company Size: 201-500 employees (as of 2025)
Founded: 2009
Company Description:
- Strava is a Swedish word that means “to strive,” reflecting the company’s mission to connect athletes to what motivates them and help them find their personal best.
- Strava is the world’s largest community of active people, with over 150 million athletes in more than 185 countries.
- The company offers an app for active people, providing connection, motivation, and personal bests through various activities, gear, and goals.
Company Specialties:
- Activity tracking and analysis
- Social features for athletes
- Subscription-based premium features
Company Website: www.strava.com
ASSUMPTION: Strava is a well-established company in the fitness and activity tracking industry, with a strong focus on data-driven decision-making and continuous improvement.
📊 Role Analysis
Career Level: Mid-level to senior, with opportunities for growth and advancement
Reporting Structure: This role reports to an analytics manager and collaborates closely with cross-functional partners throughout the company
Work Arrangement: Hybrid, with approximately 3 days per week on-site in the San Francisco office
Growth Opportunities:
- Potential to take on more responsibilities and advance within the analytics or data science teams
- Opportunities to work on diverse projects and collaborate with various teams
- Chance to contribute to the company’s overall strategy and growth
ASSUMPTION: This role offers opportunities for professional growth and development within a dynamic and collaborative work environment.
🌍 Location & Work Environment
Office Type: Hybrid, with a flexible work arrangement
Office Location(s): 208 Utah St, San Francisco, California 94103, US
Geographic Context:
- San Francisco is a vibrant city with a diverse culture and a strong tech industry
- The office is located in the Mission District, offering easy access to public transportation, restaurants, and shops
- The city has a mild Mediterranean climate, with cool, wet winters and warm, dry summers
Work Schedule: Full-time, typically 40 hours per week, with flexible hours and a hybrid work arrangement
ASSUMPTION: The hybrid work arrangement allows for a balance between on-site collaboration and remote work, providing flexibility and work-life balance.
💼 Interview & Application Insights
Typical Process:
- Initial phone or video screen with a recruiter or hiring manager
- Technical interview with a data team member, focusing on SQL and data analysis skills
- On-site or virtual interview with the analytics manager and other team members
- Final interview with the hiring manager or another senior leader
Key Assessment Areas:
- Technical skills, including SQL, data analysis, and statistical programming
- Problem-solving abilities and analytical thinking
- Communication and collaboration skills
- Cultural fit and alignment with company values
Application Tips:
- Highlight relevant experience and achievements in your resume, focusing on data analysis, A/B testing, and subscription-based products
- Tailor your cover letter to demonstrate your understanding of Strava’s mission and how your skills and experience align with the role
- Prepare for technical interview questions by brushing up on your SQL skills and practicing data analysis exercises
- Research Strava’s company culture and values to ensure a strong cultural fit
ATS Keywords: Analytics, Data Science, SQL, Business Intelligence, A/B Testing, Statistical Programming, Subscription Products, Metric Definition, Data Quality, Exploratory Dashboards, Experimentation, User Behavior Analysis
ASSUMPTION: The interview process at Strava is designed to assess both technical skills and cultural fit, with a focus on data-driven decision-making and collaboration.
🛠️ Tools & Technologies
- SQL
- Business Intelligence tools (e.g., Tableau, Amplitude)
- Statistical programming languages (e.g., R, Python)
- Data visualization tools (e.g., Looker, Domo)
ASSUMPTION: The tools and technologies required for this role are industry-standard and widely used in data analysis and business intelligence.
👔 Cultural Fit Considerations
Company Values:
- Make the best part of people’s days
- Strive for continuous improvement
- Create a world-class, inclusive workplace
- Be authentic and transparent
- Be a good neighbor
Work Style:
- Collaborative and cross-functional
- Data-driven and analytical
- Focused on continuous learning and improvement
- Adaptable and responsive to change
Self-Assessment Questions:
- Do you thrive in a collaborative, data-driven environment?
- Are you passionate about helping people improve their lives through technology?
- Do you embrace continuous learning and improvement?
- Are you comfortable working in a hybrid or remote setting?
ASSUMPTION: Strava values a strong cultural fit, with an emphasis on collaboration, data-driven decision-making, and continuous improvement.
⚠️ Potential Challenges
- Managing competing priorities and deadlines in a fast-paced, dynamic environment
- Working with large, complex datasets and ensuring data quality
- Balancing independent work and collaboration with various teams
- Adapting to changes in the company’s strategy or priorities
ASSUMPTION: These challenges are common in a fast-growing, data-driven company like Strava and can be overcome with strong communication, time management, and adaptability skills.
📈 Similar Roles Comparison
- This role is similar to other senior product analyst positions, but with a focus on subscription growth and retention
- Unlike some other data-driven companies, Strava places a strong emphasis on work-life balance and flexible work arrangements
- This role offers opportunities for growth and advancement within the analytics or data science teams, as well as the chance to contribute to the company’s overall strategy and growth
ASSUMPTION: While this role shares similarities with other senior product analyst positions, its focus on subscription growth and retention sets it apart and offers unique opportunities for impact and growth.
📝 Sample Projects
- Analyzing user engagement with subscription features to identify opportunities for improvement
- Designing and implementing A/B tests to optimize the subscriber journey and improve retention
- Building exploratory dashboards to monitor product performance and inform data-driven decisions
ASSUMPTION: These sample projects illustrate the data-driven, collaborative nature of the role and the opportunity to make a significant impact on the company’s subscription growth and retention efforts.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Subscription Growth team?
- How does this role contribute to the company’s overall strategy and growth?
- What are the most pressing challenges facing the Subscription Growth team, and how can this role help address them?
- How does Strava support the professional development and growth of its employees?
- What is the company’s approach to work-life balance and flexible work arrangements?
ASSUMPTION: These questions demonstrate a strong interest in the role, the team, and the company, and will help you better understand the work environment and opportunities for growth.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link: https://www.strava.com/careers
- Tailor your resume to highlight your relevant experience and skills, focusing on data analysis, A/B testing, and subscription-based products
- Write a cover letter that demonstrates your understanding of Strava’s mission and how your skills and experience align with the role
- Prepare for technical interview questions by brushing up on your SQL skills and practicing data analysis exercises
- Research Strava’s company culture and values to ensure a strong cultural fit
- Follow up with the recruiter or hiring manager after your interview to express your interest in the role and ask any remaining questions
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
