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Urgent! Senior Data Analyst, Marketing & Growth Job Opening In Seattle – Now Hiring DigitalOcean

Senior Data Analyst, Marketing & Growth



Job description

Dive in and do the best work of your career at DigitalOcean.

Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud.

If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.

We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Senior Data Analyst who is passionate about shaping how GTM and Growth teams measure success – turning complex data into clear metrics and actionable insights that drive strategic outcomes.

As a Senior Data Analyst at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI.

Reporting to the Director of Ecosystem & Growth Operations, you will instrument and forecast key metrics, build trustworthy dashboards, and uncover trends that help our teams unlock growth and guide data-driven decision making.


What You’ll Do:

  • Deliver Insights that Drive Growth & Strategic Outcomes: Analyze growth levers, funnel & marketing performance, and customer journeys, to surface opportunities that directly impact revenue, LTV:CAC, and retention.

  • Build Reporting & Dashboards: Own the development of scalable dashboards and reporting in SQL, Python, and BI tools (Looker, Amplitude, etc.) all the way from raw data, ensuring accuracy and consistency across the organization.

  • Continuously improve data quality and governance, ensuring metrics align with Finance and Data & Analytics teams.

  • Experimentation & Testing: Partner with Growth, Marketing, and Product teams to design and analyze A/B tests, feature launches, and campaigns — ensuring rigorous methodology and clear recommendations.

  • Leverage AI Tools for Efficiency: Apply AI-powered analytics tools (e.g., for data cleaning, summarization, visualization, or forecasting) to increase speed, depth, and scalability of your work.

  • Data Storytelling: Translate complex analyses into simple, compelling narratives for executives, product managers, and marketers, ensuring insights lead to action.

  • Cross-Functional Collaboration: Partner with Product, Marketing, Engineering, and Finance teams to align on KPIs, share insights, and influence decision-making across the business.

  • Documentation: Write clear and thorough analysis documents, including assumptions, methods, and business implications.
  • What You’ll Add to DigitalOcean:

  • Strong analytical technical foundation: 4–6+ years of experience in data analytics (advanced SQL and data modeling skills); experience with BI tools (preferably Looker) to build scalable dashboards and self-serve analytics for growth/marketing or similar fields.

  • Experience with forecasting and growth metrics across marketing, sales, or broader GTM teams (e.g., funnel conversion, CAC, LTV, pipeline, retention).

  • Business Impact Orientation: Proven ability to measure marketing funnel performance, user growth, or revenue drivers — and tie insights to action.

  • Experimentation Skills: Deep understanding of A/B testing, causal inference, and statistical best practices.

  • AI-Enabled Productivity: Comfort with using AI/LLM-based tools to accelerate analysis, automate data workflows, and explore insights more efficiently.

  • Communication: Excellent at distilling complex findings into executive-ready takeaways, both visually and verbally.

  • Collaboration: Track record of working with cross-functional partners (Marketing, Growth, Finance, Data & Analytics teams) to identify opportunities and drive measurable outcomes.

  • Curiosity & Growth Mindset: Always looking for better tools, new methods, and smarter ways to generate impact.
  • Why You’ll Like Working for DigitalOcean

  • We innovate with purpose.

    You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world.

    As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.


  • We prioritize career development.

    At DO, you’ll do the best work of your career.

    You will work with some of the smartest and most interesting people in the industry.

    We are a high-performance organization that will always challenge you to think big.

    Our organizational development team will provide you with resources to ensure you keep growing.

    We provide employees with reimbursement for relevant conferences, training, and education.

    All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.

  • We care about your well-being.

    Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few.

    While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.

  • We reward our employees.

    The salary range for this position is between $99,528 - $124,410 based on market data, relevant years of experience, and skills.

    You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance.

    We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.


  • We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers.

    We approach diversity and inclusion seriously and thoughtfully.

    We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

  • Required Skill Profession

    Mathematical Science Occupations



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