Job title:Senior Data Analyst - Bank Modernization (BankMod) 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.
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $55.00/hr - $60.00/hr.
