Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst based in Austria.

This is a senior analytics opportunity at the intersection of blockchain data, business intelligence, and product strategy. You will analyze on-chain activity and ecosystem dynamics to uncover insights that influence strategic and commercial decisions. Working closely with strategy, business development, product, and ecosystem teams, you will turn complex datasets into clear, actionable recommendations. Your work will span DeFi, payments, stablecoins, trading, AI infrastructure, and other emerging blockchain use cases. You will build analytical frameworks, monitor competitive ecosystems, evaluate growth initiatives, and develop dashboards that support both internal decision-making and ecosystem transparency. The role offers the opportunity to work in a highly data-driven, fast-moving environment where your analysis can directly shape ecosystem growth.

Accountabilities

• Analyze on-chain activity using platforms such as Dune Analytics, Flipside, or direct blockchain node/RPC access to track metrics including TVL, DEX volume, wallet behavior, liquidity dynamics, and protocol health.
• Profile key ecosystem participants, including whales, market makers, liquidity providers, and other influential actors, identifying behavioral patterns relevant to strategy and business development.
• Monitor competing blockchain ecosystems, cross-chain capital flows, user migration, and broader market dynamics.
• Conduct specialized analyses covering MEV, arbitrage, trading infrastructure, and other emerging areas of blockchain activity.
• Perform in-depth business and market research across areas such as AMMs, lending, stablecoins, staking, payments, and other decentralized financial applications.
• Develop analytical frameworks to benchmark protocols and ecosystem initiatives against competitors and industry trends.
• Support evaluations of new protocol integrations, incentive programs, grants, and tokenomics initiatives through quantitative analysis and data-driven recommendations.
• Define, monitor, and report KPIs across key product and ecosystem verticals, including AI agents, payments, trading, stablecoins, and privacy.
• Analyze developer and user acquisition funnels, retention, engagement, and ecosystem growth metrics.
• Measure the effectiveness of ecosystem programs such as incentives, grants, and hackathons, producing clear post-mortem analyses and recommendations.
• Build and maintain dashboards using tools such as Dune, Grafana, or equivalent platforms for leadership reporting and ecosystem transparency.
• Translate complex on-chain, product, and business data into concise analytical briefs and actionable insights for technical and non-technical stakeholders.
• Collaborate closely with business development, solutions architecture, product, marketing, strategy, and ecosystem teams to ensure data directly supports key decisions.

Requirements

• 3–5 years of professional experience in data analytics, ideally within crypto, Web3, fintech, or another data-intensive technology environment.
• Advanced SQL skills and hands-on experience with Dune Analytics, Flipside, or comparable blockchain analytics platforms.
• Working knowledge of Python, particularly pandas, data wrangling, analysis, and basic data visualization or automation.
• Strong understanding of DeFi concepts, including AMMs, lending protocols, liquidity provision, tokenomics, and MEV.
• Ability to interpret smart contract interactions, transaction traces, wallet-level activity, and other blockchain datasets.
• Strong analytical thinking and the ability to transform large or complex datasets into meaningful business insights.
• Excellent written communication skills, with the ability to produce concise analytical memos, reports, dashboards, and executive-level briefings.
• Ability to work effectively with cross-functional teams and translate analytical findings into practical recommendations.
• Familiarity with advanced DeFi concepts such as CLMM/DLMM pool mechanics, staking architectures, and cross-chain bridging is a plus.
• Exposure to MEV analysis, builder and validator market structures, or DEX arbitrage tracking is advantageous.
• Experience with dashboarding or BI tools such as Grafana, Tableau, Metabase, or similar platforms is beneficial.
• Previous experience at an L1/L2 blockchain organization, DeFi protocol, crypto research firm, fintech company, or comparable environment is a strong advantage.

Benefits

• Opportunity to work at the intersection of blockchain analytics, product intelligence, and business strategy.
• Exposure to a highly active and rapidly evolving Web3 ecosystem spanning DeFi, payments, stablecoins, trading, AI infrastructure, and other emerging technologies.
• Direct collaboration with strategy, business development, product, ecosystem, and other cross-functional teams.
• Opportunity to influence strategic decisions through data-driven research and analysis.
• Hands-on experience working with on-chain data, blockchain analytics platforms, and advanced DeFi datasets.
• Opportunity to build analytical frameworks and dashboards used to understand ecosystem performance and growth.
• Fast-paced, international, and data-driven working environment.
• Potential to contribute to high-impact initiatives across a large blockchain ecosystem.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.