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Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society.
As a Senior Digital Product & Growth Analyst, you will be a strategic analytics partner driving data-informed growth for Stand Together’s digital products and platforms. You will help teams understand how users discover, activate, engage with, and retain value from our digital experiences—and how those behaviors translate into meaningful outcomes aligned with our mission.
This role sits at the intersection of product analytics, growth strategy, and experimentation. Your expertise in growth metrics, lifecycle analysis, and testing methodologies—combined with strong data storytelling skills—will enable leaders to make confident decisions that improve user experience, accelerate growth, and increase long-term impact.
How You Will Contribute
- Partner with Product, Design, Engineering, and Digital leaders to define and evolve growth-focused measurement frameworks, including north-star metrics, activation and retention KPIs, and leading indicators of long-term value.
- Apply your deep understanding of digital growth metrics (DAU/MAU, retention curves, cohort analysis, LTV, CAC, viral coefficients) to guide product and business decisions.
- Analyze end-to-end growth funnels across acquisition, activation, engagement, retention, and reactivation to identify opportunities to improve conversion rates, reduce friction, and increase lifetime value.
- Lead and support A/B tests and experiments—designing hypotheses, defining success metrics, evaluating significance, and translating results into clear recommendations for iteration or scale.
- Bring experimentation leadership and rigor, ensuring teams understand how to structure tests, avoid common statistical pitfalls, and make high-confidence decisions.
- Conduct deep-dive analyses using SQL and cloud data warehouses (e.g., Snowflake, BigQuery) to surface insights related to usage patterns, retention trends, cohort behavior, LTV, CAC, and referral/viral dynamics.
- Evaluate the performance of organic and product-led growth channels such as referrals, content-led acquisition, lifecycle messaging, and in-app prompts.
- Analyze user behavior across the product and across lifecycle touchpoints, including onboarding, feature adoption, in-app flows, and messaging journeys.
- Build scalable dashboards in tools like Tableau to connect growth metrics, experimentation results, and product usage data into a cohesive narrative.
- Communicate insights clearly and frequently through weekly, monthly, and post-experiment readouts—helping Product, Growth, and Marketing understand what’s working, what’s not, and where to focus next.
- Collaborate cross-functionally to improve analytics maturity, strengthen instrumentation, refine attribution, and elevate shared understanding of growth metrics.
- Serve as an educator and partner across teams, enabling others to use data confidently, ask better questions, and adopt more sophisticated experimentation and measurement practices.
What You Will Bring
- 6+ years of experience in growth analytics, product analytics, digital analytics, or business intelligence roles, demonstrating the ability to influence product and growth decisions through data.
- Deep understanding of product and app growth metrics (DAU/MAU, retention curves, cohort behavior, LTV, CAC, viral coefficients).
- Strong experience designing, running, and interpreting A/B tests and experimentation frameworks.
- Ability to synthesize complex behavioral and growth data into clear, actionable insights for senior stakeholders.
- Advanced SQL skills and experience working in cloud data warehouses (e.g., Snowflake, BigQuery).
- Comfort with light scripting (Python or JavaScript) for automation or deeper analysis.
- Familiarity with APIs/webhooks, CDPs, and marketing automation tools (e.g., Segment, Salesforce, Iterable, HubSpot).
- Knowledge of organic and product‑led growth channels (referrals, virality, content-led acquisition).
- Experience evaluating lifecycle messaging (email, push, in-app) and optimizing conversion across funnels and onboarding flows.
- Strength in CRO principles, rapid experimentation, and iterative learning cycles.
- Ability to communicate complex insights clearly and influence cross‑functional teams.
- Collaborative mindset with a passion for raising analytics maturity across product, marketing, and engineering.
- Enthusiasm to contribute to Stand Together’s vision and principled approach to solving problems, and a commitment to stewarding our culture, which champions values including transformation and innovation, entrepreneurialism, humility, and respect.
What We Offer
- Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace.
- A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
- Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents.
- Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive.
Our Values: Working at Stand Together is different from many other organizations. Our culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers our employees to be entrepreneurial, to innovate, and to continually drive transformation.
We believe diversity fuels creativity, broadens knowledge, and helps drive success, and that is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, respect and sensitivity.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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