Data Analyst
@ Windranger Labs

Hybrid
$120,000
Hybrid
Full Time
Posted 13 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @windrangerlabs.com
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Job Details

What You’ll Do

Work hand-in-hand with on-chain teams to turn messy blockchain data into clear insights that drive decisions. Take the lead on analytics for campaigns like airdrops and staking programs — from tracking who’s eligible, to calculating rewards, to measuring how well things performed.

Build dashboards and visualizations (think Dune, Tableau, etc.) that keep tabs on the important metrics: TVL, wallet activity, gas usage, and more. Thrive in a fast-moving space where shipping fast matters.

What We’re Looking For

A degree in a quantitative/technical field (Math, Stats, Comp Sci, Engineering, etc.) and 3–5 years of experience in analytics, data science, or similar roles. A curious, self-driven candidate comfortable picking up new tools, languages, or models on the fly.

  • Solid experience with Dune Analytics (SQL + dashboarding).
  • Competence with platforms like Nansen or DefiLlama.
  • Strong understanding of EVM-based blockchain operations.
  • Nice-to-have: Decoding raw transaction data and programming in Python.

Key skills/competency

  • Blockchain
  • Analytics
  • SQL
  • Dune Analytics
  • Dashboarding
  • Data Science
  • Python
  • On-chain
  • Visualization
  • Quantitative
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How to Get Hired at Windranger Labs

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to Windranger Labs requirements.
  • Highlight blockchain expertise: Emphasize analytical and on-chain experiences.
  • Research technical tools: Prepare examples using Dune Analytics and SQL.
  • Prepare for interviews: Practice relevant technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice dashboard building on Dune Analytics.
Learn on-chain data tracking methods.
Familiarize with Python data libraries.

Behavioral Questions

Describe a challenging analytics project.
Explain your problem solving process.
Illustrate teamwork in fast-paced environments.
Discuss learning new tools quickly.

Frequently Asked Questions