Applying for an On-Chain Data Analyst role at ING? Like most banking and investment employers, ING receives far more applications than it can read closely, so the resume that gets shortlisted is the one that makes the match to the posting obvious in seconds. Here’s how to tailor yours.
What banking and investment employers like ING tend to screen for
- Credentials and technical finance skills
- Accuracy and risk awareness
- Size of portfolios, deals, or balances handled
Financial institutions value precision and credentials. Put licences, qualifications, and the size of numbers you handled where they are seen first. Always read the specific ING posting: the team, level, and location change what matters, and the posting’s own wording is the best guide to what to mirror.
Keywords hiring teams look for in a On-Chain Data Analyst resume
Applicant tracking systems and recruiters search for specific terms. For On-Chain Data Analyst roles these come up most often — include them only where they are true for you:
The first group comes from typical On-Chain Data Analyst postings; the last few are common in banking and investment. Use a term only if it honestly describes your experience.
Before and after: how a On-Chain Data Analyst-style bullet improves
Generic
Worked on smart contracts for a DeFi project.
Tailored
Wrote and tested Solidity contracts for a lending protocol (Foundry, 95% coverage) and fixed 3 high-severity findings from an external audit before mainnet launch.
Illustrative example. Numbers like these should always come from your own real results — useful metrics for this field include audits passed, test coverage, value secured, transactions processed, gas savings, protocols integrated. For banking and investment roles, results tied to risk management and regulatory tend to resonate.
How to tailor your On-Chain Data Analyst resume in three steps
- Mark the must-haves. Read the posting and highlight the tools, skills, and responsibilities it repeats or labels “required”.
- Match them to your real experience. For each must-have, find the place in your history where you actually did it, and move that evidence to the top — using the posting’s wording where it is honest.
- Cut what doesn’t help. Shorten or remove bullets that don’t support this particular job. Two strong, relevant lines beat six generic ones.
That’s exactly what renewed.cv automates: it extracts the requirements, rewrites your real experience around them, fact-checks the result against your original, and shows you a before/after match score.
Common On-Chain Data Analyst resume mistakes
- Writing "blockchain" without naming the chains, languages, or protocols you actually used
- No links to code, deployments, or audits that a hiring team can verify
- Quoting TVL, volume, or returns without saying what you personally built or owned
Recommended structure: Summary → Technical skills (chains, languages, tools) → Experience → Projects and audits (with links) → Education.
More On-Chain Data Analyst resume guides
Other roles at ING
renewed.cv is an independent service and is not affiliated with ING. Company names are used only to describe the roles our users apply for.
Frequently asked questions
Should I use the same resume for every ING application?
No. Even within ING, teams stress different skills. Tailor your resume to each posting so the matching experience for that specific On-Chain Data Analyst role appears first.
What keywords should a On-Chain Data Analyst resume for ING include?
Take the keywords directly from the ING posting. Typical On-Chain Data Analyst terms include Dune Analytics, SQL, Blockchain data and Dashboards; banking and investment employers also often value risk management, regulatory and financial modeling. Include only what is true for you.
How long should a On-Chain Data Analyst resume for ING be?
One page for under ten years of experience, two pages for more. Recruiters at large employers skim quickly, so lead with the most relevant achievements.
Does renewed.cv work for ING job links?
Paste the ING job link or the full description text. If the link can’t be read automatically, pasting the text works the same way.
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