getSummary
Written in English from the original postingRaydar is recruiting a Data Analyst for a financial technology client in New York. The role focuses on mapping and loading client source data, validating files, troubleshooting data issues, and formalizing repeatable procedures. It also involves building reusable checks, automation, and governance standards using SQL and Python or JavaScript.
Job description
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
