Senior Data Analyst

Important Note: This position is only on W2 Contract Role. Prior expereince in Financial/Banking expereince is Mandatory (Candidate who dosen't not fit in these criteria will not be eligible for this role) Role: Sr. Data Analyst (Data Management) Location: Mclean, VA (Hybrid) Mode: Contract Start/End Dates: 9/14/2026 - 2/5/2027 Job Description: Senior Data Analyst - Bank Modernization (BankMod) Migration 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.