[Hiring] Senior Data Analyst @Solflare

Role Description

As a Senior Data Analyst at Solflare, you’ll dive deep into data to uncover insights and trends that help us make better decisions about our product and its growth. You’ll work closely with product managers, engineers, and other teams to turn complex, raw data into clear and actionable insights. Your work will directly influence important decisions, from improving existing product features and identifying opportunities for new ones to shaping our market expansion strategy.

What makes analytics at Solflare particularly interesting is the depth and variety of data available to us:

• Analyze user behavior at the individual transaction level across the wider Solana ecosystem.
• Understand user activity before they become a Solflare user, including wallet and protocol usage.
• Track market shares and explore user interactions with competing companies.
• Combine on-chain information with off-chain product data for a rich view of the full user journey.

If you’re excited by complex data, curious about user behavior, and ready to work in a role where your insights can directly shape product strategy and company growth, we’d love to hear from you.

Core responsibilities:

• Data collection: Gather data from various sources (databases, APIs, spreadsheets) ensuring accuracy and relevance.
• Data preparation: Contribute to our data pipeline, building and maintaining transformation logic for analysis-ready datasets.
• Exploratory analysis: Use statistical techniques and data visualization to uncover trends, patterns, and correlations.
• Reporting & visualization: Create clear dashboards, reports, and charts for stakeholders.
• Collaboration with teams: Work with product managers, engineers, and stakeholders to define key metrics and provide data-driven recommendations.
• Data integrity: Ensure data is secure, well-documented, and accessible.

Qualifications

• 5+ years of experience in data analysis or engineering involving large amounts of different types of data.
• Experience with hypothesis testing, A/B testing, and other statistical methods.
• Proficiency in at least one programming language for data cleaning, transformation, and analysis.
• Strong skills in writing and optimizing SQL queries to extract and aggregate data from databases.
• Experience with business intelligence tools such as Tableau, Power BI, Looker, or similar.
• Solid experience using Excel or Google Sheets for quick analysis and pivot tables.
• Basic understanding of ETL processes and tools to move data from different sources into a usable format.

Requirements

• Fintech/banking/insurance industry experience (nice to have).
• Experience with processing blockchain data (e.g., using data from Dune, Solscan, etc.) (nice to have).

Benefits

• Individual education budget.
• Cool team buildings.
• Private health insurance.
• Flexible work environment based on trust.
• Work when you are most productive, with no micromanagement.
• Opportunity to learn about crypto with a supportive team.