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Raydar

Data Analyst

Posted 4 Days Ago
In-Office
New York, NY, USA
100K-135K Annually
Mid level
In-Office
New York, NY, USA
100K-135K Annually
Mid level
Own client data onboarding by mapping source systems into a software platform, loading and validating messy files, troubleshooting live data issues, and documenting repeatable procedures. Explain technical findings to non-engineering teams, trace discrepancies to root causes, and collaborate with technical leaders on reusable checks, automation, and governance standards. Balance onboarding responsibilities with ongoing data troubleshooting.
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About the company

Our client is a financial technology company.

The role

Raydar is recruiting for this role on behalf of our client. Own the process of bringing client data into a software platform, mapping it from source systems, resolving data issues quickly and documenting repeatable procedures. The role blends hands-on data work with explaining technical findings to colleagues outside engineering.

What you'll do

- Take ownership of mapping each new client's source data into the platform so it can be loaded and used correctly.

- Diagnose and fix live data problems, such as fields that do not map as expected or rules that are not applied correctly.

- Translate technical findings into plain explanations that client-facing teams can share with their customers.

- Document and formalize a data mapping process that currently lives mostly in team knowledge.

- Work with senior technical leaders to build reusable checks, automation and governance standards that prevent recurring issues and reduce dependence on engineering.

- Balance onboarding work with troubleshooting, with the mix shifting depending on current needs.


Requirements

What we're looking for

- Background conveying technical data problems to colleagues who work outside engineering.

- Strong SQL skills and experience working with relational databases.

- Experience onboarding customer or partner data, including mapping, loading and validating messy source files.

- Working proficiency in Python or JavaScript for verifying, reshaping and scheduling data work.

- Expert-level Excel skills.

- A record of tracing data discrepancies to their root cause and confirming the fix works.

- Two to four years of relevant experience.

Bonus points

- Experience at an early-stage startup.

- Familiarity with information and terminology from the banking or lending sector.

- Experience with recurring file ingestion and structured data files.


Benefits

Compensation and benefits

- Base salary: USD 100,000 to 135,000 per year

- Equity

- Medical, dental and vision coverage

- Retirement savings plan with employer contribution

- Paid time off

- Flexible remote work days

- Career advancement opportunities

Location and work model

- New York, NY, United States

- On-site, 5 days in-office

- Full-time

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