DigitalOcean is seeking a Senior Data Analyst to transform complex data into actionable insights that will influence strategic decisions across go-to-market and growth teams, ultimately driving revenue, customer retention, and lifetime value.
Requirements
- Advanced proficiency in SQL and data modeling techniques
- Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms
- Proficiency in Python or R for data analysis and automation
- Hands-on experience with forecasting, A/B testing, and statistical analysis
- Familiarity with AI-powered analytics tools for data cleaning, visualization, and forecasting
Responsibilities
- Develop and maintain scalable dashboards and reports using SQL, Python, and BI tools, ensuring data accuracy and consistency
- Partner with cross-functional teams to design and analyze A/B tests, feature launches, and marketing campaigns, providing actionable insights
- Continuously improve data quality, governance, and alignment with finance and analytics teams
- Leverage AI and LLM-based tools to automate workflows, enhance analysis speed, and deepen insights
- Translate complex analytical findings into compelling narratives for executives, product managers, and marketers
- Collaborate with Product, Marketing, Engineering, and Finance teams to define KPIs, share insights, and influence strategic decisions
- Document analysis processes, assumptions, and business implications clearly and thoroughly
Other
- 4-6+ years of experience in data analytics, preferably within growth, marketing, or SaaS environments
- Strong understanding of growth metrics including funnel conversion, CAC, LTV, pipeline, and retention
- Excellent communication skills with the ability to translate complex data into clear narratives for diverse audiences
- Proven ability to collaborate effectively with cross-functional teams including Product, Marketing, Finance, and Engineering
- Curiosity and a growth mindset, always seeking innovative methods and tools to enhance impact
