{"id":3576687,"url":"https://alion.io/job/raydar-data-analyst","title":"Data Analyst","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JavaScript","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-02T01:04:01Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About the company\nOur client is a financial technology company.\nThe role\nRaydar 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.\nWhat you'll do\n- Take ownership of mapping each new client's source data into the platform so it can be loaded and used correctly.\n- Diagnose and fix live data problems, such as fields that do not map as expected or rules that are not applied correctly.\n- Translate technical findings into plain explanations that client-facing teams can share with their customers.\n- Document and formalize a data mapping process that currently lives mostly in team knowledge.\n- Work with senior technical leaders to build reusable checks, automation and governance standards that prevent recurring issues and reduce dependence on engineering.\n- Balance onboarding work with troubleshooting, with the mix shifting depending on current needs.\nRequirements\nWhat we're looking for\n- Background conveying technical data problems to colleagues who work outside engineering.\n- Strong SQL skills and experience working with relational databases.\n- Experience onboarding customer or partner data, including mapping, loading and validating messy source files.\n- Working proficiency in Python or JavaScript for verifying, reshaping and scheduling data work.\n- Expert-level Excel skills.\n- A record of tracing data discrepancies to their root cause and confirming the fix works.\n- Two to four years of relevant experience.\nBonus points\n- Experience at an early-stage startup.\n- Familiarity with information and terminology from the banking or lending sector.\n- Experience with recurring file ingestion and structured data files.\nBenefits\nCompensation and benefits\n- Base salary: USD 100,000 to 135,000 per year\n- Equity\n- Medical, dental and vision coverage\n- Retirement savings plan with employer contribution\n- Paid time off\n- Flexible remote work days\n- Career advancement opportunities\nLocation and work model\n- New York, NY, United States\n- On-site, 5 days in-office\n- 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