Strava
consumer-facing tech
SeniorBusinessAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Business Analyst at Strava. Skills: data analysis, user engagement, retention, subscription growth, A/B testing, data modeling, dashboard development. driving user engagement, retention and subscription growth. advise business partners on A/B test design and interpretation”
What You'll Achieve.
driving subscription and user retention growth; accelerate learning; make data-informed decisions; define data-inspired solutions to fuel the growth of Strava’s platform; drive subscriber acquisition, engagement, and long-term retention
Industry & Context.
data-informed decisions; data-inspired solutions; analyze data to uncover insights
more than half of your time on-site in our San Francisco office — three days per week
What They're Looking For.
Must Have
4+ years of full-time experience in analytics, data science, or other quantitative domains, SQL proficiency, experience with Business Intelligence tools, experience with experimentation and A/B testing, experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling, experience working on subscription or membership-based products
Nice to Have
preferably in consumer-facing tech
What You'll Do.
driving user engagement
retention and subscription growth
advise business partners on A/B test design and interpretation
evaluate data tracking and quality on product surfaces
provide the “source of truth” for internal consumers by owning critical analytical reporting
own end-to-end data solutions including: data instrumentation
ETL and modeling and developing dashboards
proactively surface trends and insights
and translate them into clear actions for stakeholders
analyze data to uncover insights that deepen our understanding of the user journey
identifying opportunities to reinforce value and improve retention
How You'll Work.
Team & Collaboration
collaborate with Product, Engineering, Design and leadership; partners tightly with cross-functional collaborators throughout the company; collaborate with engineers to implement solutions; collaborate with the rest of the data organization at Strava (Machine Learning, Data Platform, etc.)
Communication Scope
clear communicator
Full Job Description
ABOUT STRAVA Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for an experienced analyst in a full-time role to be a key member of our Business Analytics team. This team is focused on driving subscription and user retention growth by conducting deep data analyses across all of Strava’s business drivers. You will collaborate with Product, Engineering, Design and leadership to accelerate learning, make data-informed decisions, and define data-inspired solutions to fuel the growth of Strava’s platform. This role reports to an analytics manager and partners tightly with cross-functional collaborators throughout the company. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week. WHAT YOU’LL DO: - Act as a go-to analytical expert for our User Lifecycle team, driving user engagement, retention and subscription growth. - 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 (e.g. active users, retention rates). - Own end-to-end data solutions including: data instrumentation, ETL and modeling and developing dashboards. - Proactively surface trends and insights, quantify the im
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