Senior Data Analyst, Marketing & Growth
@ DigitalOcean

Seattle, Washington, United States
$112,000
On Site
Full Time
Posted 23 days ago

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Job Details

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
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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.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL and data modeling methods.
Practice dashboard creation using Looker and BI tools.
Strengthen Python programming and statistical analysis skills.
Familiarize with AI tools for data cleaning and forecasting.

Behavioral Questions

Describe a challenge in cross-functional collaboration.
Explain your approach to data-driven decision making.
Share an experience with A/B testing scenarios.
Discuss how you handle tight deadlines and pressures.

Frequently Asked Questions