Senior Business & Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business & Data Analyst with expertise in wholesale loans/lending, capital markets, or risk reporting. Contract length is unspecified, with a competitive pay rate. Key skills include SQL, data analysis, and documentation.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 25, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, NY
🧠 - Skills detailed
#Physical Data Model #Data Accuracy #Data Quality #Business Analysis #Conceptual Data Model #Python #Documentation #Scripting #Database Querying #Deployment #SQL (Structured Query Language) #Data Analysis
Role description

About the Role:

We are looking for Senior Business & Data Analysts with deep subject matter expertise in the financial industry, specifically in areas such as wholesale loans/lending, capital markets, finance, or risk reporting. This is an exciting opportunity to be part of a high-impact team working on data consolidation, business analysis, and technology delivery in a fast-paced financial environment.

Key Responsibilities:

   • Analyze data requirements and identify relevant data sources for consolidation and distribution.

   • Collaborate with business stakeholders to gather requirements and translate them into functional specifications.

   • Work closely with the technology team to deliver solutions aligned with business needs.

   • Review and align logical and conceptual data models with business requirements.

   • Support production deployments and investigate any data quality or completeness issues.

   • Engage in data tracing/lineage efforts and support data accuracy initiatives.

   • Create clear documentation including process flows, business models, and functional designs.

   • Validate solution implementations to ensure alignment with defined requirements.

Required Skills & Experience:

   • Proven experience in the financial domain (wholesale lending, capital markets, finance, or risk reporting).

   • Strong proficiency in SQL and database querying.

   • Excellent analytical and documentation skills, with the ability to create detailed process flows and business models.

   • Proficiency in MS Office tools, especially Excel, Visio, Word, and PowerPoint.

   • Experience in data tracing/lineage and understanding of logical and physical data models.

   • Familiarity with scripting languages such as Python is a plus (at least one candidate should possess this skill).

   • Strong interpersonal and communication skills; ability to work effectively with cross-functional teams.

If you are passionate about data analysis, thrive in complex environments, and want to contribute to meaningful financial projects, we encourage you to apply and be part of this exciting opportunity!