Senior Data Analyst, Marketing & Growth @ DigitalOcean
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About the Role
Dive in and do the best work of your career at DigitalOcean. Join a community of top talent dedicated to building the simplest scalable cloud. As a Senior Data Analyst, Marketing & Growth, you will shape how GTM and Growth teams measure success by turning complex data into actionable insights.
Key Responsibilities
- Analyze growth levers, marketing performance, and customer journeys to impact revenue.
- Build scalable dashboards and reporting using SQL, Python, Looker, Amplitude and other BI tools.
- Enhance data quality and governance in collaboration with Finance and Analytics teams.
- Partner with Growth, Marketing, and Product teams for A/B testing and campaign analysis.
- Leverage AI tools for data cleaning, visualization, forecasting and workflow automation.
- Translate complex analyses into compelling narratives for executives and stakeholders.
- Collaborate across functions to align on KPIs and drive strategic decision making.
- Document analysis methods, assumptions and business implications clearly.
What You’ll Add
If you have 4-6+ years of experience in data analytics with strong SQL, Python, BI tool expertise, and a proven record in forecasting and growth metrics, you are a perfect fit. Your background in experimentation, data storytelling, and collaborative cross-functional work will drive measurable impact.
Why DigitalOcean?
At DigitalOcean, you join a cutting-edge technology company that simplifies cloud and AI for builders. Enjoy career growth, equity compensation, bonuses, continuous learning, competitive benefits, and a supportive remote work environment.
Key skills/competency
- data analysis
- SQL
- Python
- BI tools
- dashboard
- AI tools
- forecasting
- A/B testing
- data storytelling
- marketing metrics
How to Get Hired at DigitalOcean
🎯 Tips for Getting Hired
- Research DigitalOcean's culture: Study mission statements and recent achievements.
- Customize your resume: Emphasize analytics and growth metrics.
- Prepare for SQL tests: Practice data modeling and dashboard creation.
- Master interview insights: Review behavioral and technical questions.