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Data Management - Data Analyst - Sr

Job in McLean, Fairfax County, Virginia, USA
Listing for: Spectraforce Technologies
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Engineering, Database Administrator, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Job title:

Senior Data Analyst - Bank Modernization (Bank Mod) Migration

Location:

Mclean, VA (3 days onsite, 2 Remote)

Duartion:
Until feb 2027

Key Responsibilities
  • Backbook Data Analysis
    :
    Lead the data discovery process to identify where legacy data resides today, detailing schemas, tables, and columns required for migration.
  • Drive Priority Migrations
    :
    Support high-priority and medium-priority migration timelines, including Bankruptcy, Deceased/Estates, Levies & Garnishments, and Charge-Offs.
  • Data Mapping & Translation
    :
    Map legacy attributes from systems like Profile and CST to destination systems, such as Customer Core and AccountsCBP.
  • Discrepancy Resolution
    :
    Evaluate and resolve data discrepancies between multiple legacy systems (e.g., Profile vs. CST) to establish the true source of truth for the Bank.
  • Define Migration Logic
    :
    Collaborate with stakeholders to determine business logic for handling active and ended restrictions across both open and closed accounts.
  • Technical Execution
    :
    Leverage SQL, Python, Snowflake, and Databricks to write complex queries, perform large-scale data extractions, and validate post-migration data quality.
  • Cross-Functional Collaboration
    :
    Work closely with Tech Leads, Data Stewards, and Business teams to ensure a standard backbook analysis checklist and framework are established and followed.
Required Qualifications
  • Experience:

    5+ years of real-world experience working as a Data Analyst, Data Engineer, or in a highly technical data-focused role.
  • Core

    Skills:

    Extensive hands-on proficiency in Snowflake,Google Suite, Databricks, SQL, and Python
  • Data Fluency:
    Deep understanding of complex data architecture, data quality frameworks, and data manipulation.
  • Problem-Solving:
    Proven ability to dive deep into legacy datasets, understand undocumented schemas, and confidently drive analytical outcomes.
Preferred Qualifications
  • Migration

    Experience:

    Prior experience in large-scale data migrations, specifically migrating legacy infrastructure to modern cloud architectures, is a major bonus.
  • Domain Knowledge:
    Familiarity with retail banking data, customer restriction statuses (e.g., Fraud, KYC, Bankruptcy), and case management workflows.
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