Senior Business Analyst
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-01-27
Listing for:
Madison-Davis, LLC
Full Time
position Listed on 2026-01-27
Job specializations:
-
IT/Tech
Data Analyst, Data Warehousing, Data Engineer, Data Science Manager
Job Description & How to Apply Below
- Serve as a lead Business Analyst for the build-out of an enterprise Security Master covering multiple asset classes
- Analyze and document reference data models including securities, instruments, issuers, identifiers, hierarchies, and relationships
- Work directly with large datasets using SQL to validate data quality, perform reconciliations, and support root-cause analysis
- Partner with data engineering teams to translate business requirements into logical and physical data designs
- Define data lineage, ownership, and usage for market data, reference data, and capital markets transaction data
- Support integration of external data sources such as ratings, indices, pricing feeds, and vendor reference data
- Collaborate with AI and analytics teams on enrichment, scoring, and entity-linking use cases
- Drive clarity across ambiguous data problems by aligning stakeholders on definitions, rules, and governance
- Produce high-quality documentation including business requirements, data mappings, and functional specifications
- 7+ years of experience as a Business Analyst or Data Analyst within financial services
- Deep, hands-on expertise with reference data and security master concepts
- Strong working knowledge of capital markets data, including instruments, trades, positions, and lifecycle events
- Advanced SQL skills with experience querying large, complex datasets
- Experience working with market data vendors, identifiers, and symbology (e.g., securities, issuers, hierarchies)
- Proven ability to partner closely with engineering, data, and product teams
- Strong analytical mindset with the ability to connect disparate datasets into a coherent model
- Excellent communication skills with the ability to translate complex data topics to non-technical stakeholders
- Exposure to data governance, metadata management, or data quality frameworks
- Familiarity with ratings, indices, or alternative data sources
- Experience supporting AI or machine learning initiatives from a data definition perspective
- Background working in front office, risk, or operations data environments
Position Requirements
10+ Years
work experience
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