Live opening · Posted 3 days ago

Data Analyst II

Dealstitch AI · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyDealstitch AI
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

About The Role
Good AI and good systems both come down to good data. We're hiring a Data Analyst II to do the hands-on data work that makes our engagements succeed: mapping and reconciling data across systems, validating what comes out, and building the datasets we measure our agents against. It is detailed, high-judgment work, and it is the difference between an agent that demos well and one a firm can actually trust.
What you'll do
Map, normalize, reconcile, and validate data from source systems into the target schema, partnering with our data team in Hyderabad, India to deliver at scale.
Profile and clean messy, real-world data from documents, spreadsheets, and exports, and surface the quality issues that matter.
Build and maintain the ground-truth datasets we measure our agents against, and review agent and extraction outputs for accuracy.
Turn the results into clear analysis and reporting the team and the client can act on.
What we're looking for
2+ years in a data analyst role, with strong SQL and spreadsheet skills.
A sharp eye for data quality: you catch the nulls, mismatches, and logical errors others miss.
Comfort working with messy data from many sources and getting it into a clean, structured shape.
Clear communication: you can turn data findings into something a non-technical stakeholder understands.
Bonus: Python or pandas, a BI tool such as Power BI or Tableau, or familiarity with private-markets or financial data.
Why Dealstitch
We're a senior team with 40+ years of combined private-market technology experience. You'll work on problems that matter, with direct access to decision-makers, and see the impact of your work in weeks, not quarters.

Work arrangement
Yes

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