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Senior Data Analyst Marketing & Growth
DigitalOcean
HybridHybrid
Original Job Summary
About the Role
Dive in and do the best work of your career at DigitalOcean. Join a community of top talent who are driven to build the simplest scalable cloud. As a Senior Data Analyst Marketing & Growth, you will shape how GTM and Growth teams measure success, turning complex data into actionable insights.
What You’ll Do
- Analyze growth levers, funnel & marketing performance to drive revenue.
- Develop scalable dashboards and reports using SQL, Python, and BI tools.
- Improve data quality and governance aligning with Finance and Analytics.
- Design and analyze A/B tests, feature launches and campaigns.
- Utilize AI-powered analytics tools for data cleaning and forecasting.
- Translate data findings into executive-ready narratives.
- Collaborate cross-functionally with Product, Marketing, Engineering, and Finance.
- Document methods, assumptions and business implications clearly.
What You’ll Add To DigitalOcean
- 4-6+ years proven data analytics experience with advanced SQL skills.
- Expertise with BI tools (preferably Looker) for self-serve analytics.
- Experience with forecasting, growth metrics & marketing funnel analysis.
- Strong A/B testing and statistical best practices knowledge.
- Ability to translate complex insights into clear recommendations.
- Collaborative mindset with cross-functional teams.
Why You’ll Like Working for DigitalOcean
Work in a cutting-edge tech company with an upward trajectory. You will be part of a culture that values growth, innovation, and collaboration. Career development is a priority with access to training, conferences, and educational resources. Enjoy a competitive benefits package and the flexibility of a remote role.
Key Skills/Competency
- Data Analysis
- SQL
- Python
- BI Tools
- Data Visualization
- A/B Testing
- Forecasting
- AI Analytics
- Data Governance
- Communication
How to Get Hired at DigitalOcean
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant data analytics skills and achievements.
- Research DigitalOcean: Understand their cloud and AI innovations in-depth.
- Showcase technical proficiency: Emphasize SQL, Python and BI expertise.
- Prepare examples: Use real metrics to demonstrate impact in past roles.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query optimization.
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Practice Python data manipulation.
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Learn dashboard creation in Looker.
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Brush up on AI analytics tools.
Behavioral Questions
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Describe a challenge overcoming data inaccuracies.
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Explain a time you influenced decisions.
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Discuss collaboration across diverse teams.
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Share how you manage project deadlines.