📌 Core Information
🔹 Job Title: Marketing Analytics Manager
🔹 Company: Strava
🔹 Location: San Francisco, CA
🔹 Job Type: Hybrid (3 days on-site per week)
🔹 Category: Marketing
🔹 Date Posted: April 8, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site with hybrid option
🚀 Job Overview
Key aspects of this role include:
- Leading a team of data analysts to support global marketing needs
- Driving strategic analytics initiatives to improve user growth and retention
- Collaborating with cross-functional teams to design and interpret A/B tests
- Partnering with the broader data community to enhance technological craftsmanship
ASSUMPTION: This role requires a balance of leadership, technical skills, and cross-functional collaboration. The ideal candidate will have experience in both analytics and marketing, with a strong background in paid media.
📋 Key Responsibilities
✅ Lead a team of data analysts to support the diverse needs of a global marketing organization
✅ Drive strategic analytics initiatives to improve the efficiency and impact of Strava’s growth
✅ Establish a learning agenda to create a foundation for robust marketing and product strategies
✅ Partner with product and marketing teams to design and interpret A/B tests to drive explainable subscription and user retention outcomes
✅ Collaborate with the broader data community at Strava to collectively improve our technological craftsmanship
ASSUMPTION: This role involves a mix of management, hands-on analysis, and strategic planning. The ideal candidate will be comfortable wearing multiple hats and adapting to changing priorities.
🎯 Required Qualifications
Education: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or a related discipline) or equivalent experience
Experience: 5+ years of full-time experience in analytics, data science, or other quantitative domains, with at least 2 years of experience leading high-functioning analytics teams
Required Skills:
- Proficient in SQL and Business Intelligence tools (e.g., Tableau)
- Experience with using experimentation and other statistical methods to estimate incremental impact of marketing campaigns (e.g., time-series modeling, econometric methods)
- Hands-on experience working with statistical programming languages (e.g., R, Python)
- Understanding of data pipeline concepts (e.g., ETL, scripting common analysis workflows)
Preferred Skills:
- Experience with marketing analytics tools (e.g., Google Analytics, Mixpanel)
- Familiarity with marketing automation platforms (e.g., Marketo, HubSpot)
ASSUMPTION: The ideal candidate will have a strong foundation in quantitative analysis, with a focus on marketing and paid media. Experience leading teams and collaborating with cross-functional stakeholders is also crucial for success in this role.
💰 Compensation & Benefits
Salary Range: $230,000 - $245,000 per year (base pay only, does not include equity or benefits)
Benefits:
- Health, dental, and vision insurance
- 401(k) plan with company match
- Generous time off and paid holidays
- Commuter benefits and wellness reimbursement
- Employee assistance program
Working Hours: Full-time, with flexible hours and the option to work remotely some days
ASSUMPTION: The salary range provided is based on market data for similar roles in the San Francisco Bay Area. Benefits are subject to change and may vary based on employment status and location.
📌 Applicant Insights
🔍 Company Context
Industry: Software Development, specifically focused on fitness and activity tracking
Company Size: 201-500 employees, which means applicants can expect a mid-sized company structure with opportunities for growth and collaboration
Founded: 2009, with a mission to connect athletes to what motivates them and help them find their personal best
Company Description:
- Strava is a global community of athletes with over 150 million users in more than 185 countries
- The company offers a platform for tracking workouts, connecting with other athletes, and sharing progress
- Strava is committed to providing a world-class, inclusive workplace where employees can grow and thrive
Company Specialties:
- Activity tracking and analytics
- Social features for athletes
- Premium subscription services for enhanced features and functionality
Company Website: strava.com
ASSUMPTION: Strava's focus on connecting athletes and fostering a sense of community makes it an attractive workplace for individuals passionate about fitness and data-driven decision making.
📊 Role Analysis
Career Level: Mid-level to senior, with opportunities for growth and advancement within the data and marketing teams
Reporting Structure: This role reports directly to the head of data and partners closely with cross-functional stakeholders throughout the company
Work Arrangement: Hybrid, with around half of the time spent on-site in the San Francisco office (roughly three days per week)
Growth Opportunities:
- Potential to advance to a director or vice president role within the data or marketing organizations
- Chance to expand skills and expertise by working with diverse teams and on various projects
- Opportunity to make a significant impact on Strava's growth and success by driving data-informed decisions
ASSUMPTION: The hybrid work arrangement allows for flexibility and work-life balance, while also fostering collaboration and team-building among on-site employees.
🌍 Location & Work Environment
Office Type: Modern, collaborative workspace with amenities and comfortable working areas
Office Location(s): 208 Utah St, San Francisco, California 94103, US
Geographic Context:
- San Francisco is a vibrant, diverse city with a strong tech industry and a high cost of living
- The office is located in the Mission District, a trendy neighborhood with numerous restaurants, shops, and cultural attractions
- The area is well-connected by public transportation, making it easy to commute from various parts of the Bay Area
Work Schedule: Full-time, with flexible hours and the option to work remotely some days
ASSUMPTION: The office environment at Strava is designed to encourage collaboration, creativity, and productivity, with a focus on employee well-being and work-life balance.
💼 Interview & Application Insights
Typical Process:
- Phone or video screen with a recruiter to discuss the role and assess cultural fit
- Technical interview with a member of the data team to evaluate quantitative skills and problem-solving abilities
- On-site interview with the hiring manager and other team members to discuss leadership style, strategic thinking, and cross-functional collaboration
- Final interview with the head of data to assess overall fit and alignment with company values
Key Assessment Areas:
- Quantitative skills and problem-solving abilities
- Leadership style and team management
- Strategic thinking and data-driven decision making
- Cross-functional collaboration and communication
Application Tips:
- Highlight relevant experience in marketing analytics and team leadership
- Tailor your resume and cover letter to emphasize skills and accomplishments that align with the required qualifications and key responsibilities
- Prepare for technical interview questions by brushing up on SQL, statistical methods, and data pipeline concepts
- Research Strava's company culture and values to demonstrate your understanding of the organization and your fit within the team
ATS Keywords: Marketing Analytics, Data Analysis, Team Leadership, SQL, Statistical Methods, Data Pipeline, Cross-Functional Collaboration, A/B Testing, User Growth, User Retention
ASSUMPTION: The interview process at Strava is designed to assess both technical skills and cultural fit, with a focus on finding the best candidate for the role and the organization.
🛠️ Tools & Technologies
- SQL
- Tableau
- R
- Python
- ETL tools (e.g., Talend, Pentaho)
- Marketing analytics tools (e.g., Google Analytics, Mixpanel)
- Marketing automation platforms (e.g., Marketo, HubSpot)
ASSUMPTION: The ideal candidate will have experience with the tools and technologies listed above, as well as a willingness to learn and adapt to new tools as needed.
👔 Cultural Fit Considerations
Company Values:
- Strive: Strava's mission is to connect athletes to what motivates them and help them find their personal best
- Connect: Strava fosters a sense of community among athletes, encouraging connection, motivation, and personal bests
- Innovate: Strava is committed to continuous improvement and innovation in the fitness and activity tracking space
Work Style:
- Collaborative: Strava values teamwork and cross-functional collaboration to drive success
- Data-driven: Strava makes decisions based on data and analytics, with a focus on continuous learning and improvement
- Adaptable: Strava is a growing company that values flexibility and adaptability in the face of change
Self-Assessment Questions:
- Do you thrive in a collaborative, data-driven environment?
- Are you comfortable leading a team and driving strategic initiatives?
- Can you adapt to changing priorities and work effectively in a hybrid work arrangement?
ASSUMPTION: The ideal candidate for this role will be a strong fit with Strava's company values and work style, with a passion for fitness, data, and collaboration.
⚠️ Potential Challenges
- Managing a team remotely and balancing on-site collaboration
- Prioritizing and balancing multiple projects and stakeholder requests
- Keeping up with the latest trends and best practices in marketing analytics and data science
- Navigating a growing company and adapting to organizational changes
ASSUMPTION: The hybrid work arrangement and growing nature of Strava present unique challenges that the ideal candidate will be equipped to handle.
📈 Similar Roles Comparison
- Unlike other marketing analytics roles, this position requires a balance of leadership, technical skills, and cross-functional collaboration
- Strava's focus on fitness and activity tracking sets it apart from other software development companies
- This role offers the opportunity to make a significant impact on Strava's growth and success, with potential for career advancement within the data or marketing organizations
ASSUMPTION: The unique combination of leadership, technical, and cross-functional responsibilities makes this role distinct from other marketing analytics positions.
📝 Sample Projects
- Developing and implementing a learning agenda to create a foundation for robust marketing and product strategies
- Designing and interpreting A/B tests to drive explainable subscription and user retention outcomes
- Collaborating with the broader data community at Strava to improve technological craftsmanship and data pipeline concepts
ASSUMPTION: The sample projects listed above are representative of the types of initiatives the ideal candidate will work on in this role, with a focus on driving data-informed decisions and continuous learning.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the marketing and data organizations?
- How does Strava support the professional development and growth of its employees?
- What are the biggest challenges facing the marketing and data teams in the next 6-12 months, and how can this role help address them?
- How does Strava approach work-life balance and employee well-being in a hybrid work arrangement?
- What are the key priorities for this role in the first 30, 60, and 90 days?
ASSUMPTION: The key questions listed above are designed to help the ideal candidate assess the fit of the role, team, and company culture, as well as understand the priorities and expectations for success in the position.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight relevant experience in marketing analytics, team leadership, and data-driven decision making
- Prepare for technical interview questions by brushing up on SQL, statistical methods, and data pipeline concepts
- Research Strava's company culture and values to demonstrate your understanding of the organization and your fit within the team
- Follow up with the recruiter one week after submitting your application to inquire about the status of your application
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
