Senior Data Business Analyst

Senior Data Business Analyst

Locations: Atlanta, GA | Hartford, CT | Chicago, IL

Employment Type: Contract

Work Environment: Hybrid

Position Overview

Our client is seeking an experienced Senior Data Business Analyst to support enterprise data initiatives and the continued modernization of its data and analytics environment.

This individual will work at the intersection of business operations, data, and technology, partnering with business leaders, product teams, data engineers, analytics professionals, and external stakeholders. The primary focus will be translating complex business and partner needs into clear data requirements and helping technical teams deliver reliable, scalable data solutions.

The ideal candidate combines strong traditional Business Analysis skills with hands-on data analysis and SQL experience. This person should be comfortable investigating data issues, understanding complex data flows, documenting requirements, and communicating effectively with both technical and non-technical stakeholders.

Key Responsibilities

Business & Technical Analysis

• Partner with business and technical stakeholders to understand business processes, user journeys, systems, and underlying data flows.
• Gather, analyze, challenge, and document functional and technical requirements.
• Translate business needs into clear requirements, user stories, acceptance criteria, process flows, and other technical documentation.
• Develop current-state and future-state process documentation.
• Maintain requirement traceability throughout the development and delivery lifecycle.
• Identify gaps, dependencies, risks, and opportunities for process or data improvements.
• Work with stakeholders and technical teams to determine solutions that address both immediate requirements and broader business objectives.

Data Analysis & Data Products

• Define and maintain requirements for data products, integrations, reporting processes, and external data exchanges.
• Use SQL to query, validate, reconcile, and analyze large datasets.
• Investigate data quality issues and partner with technical teams to determine root causes and appropriate resolutions.
• Work closely with Data Engineers and Analytics Engineers to translate business requirements into data solutions.
• Understand how information moves from operational/source systems through data platforms and into downstream applications, reports, or external data feeds.
• Support changes to data requirements as business processes, systems, products, or partner needs evolve.
• Assist with identifying new data elements and determining how they should be incorporated into enterprise data environments.

Stakeholder Management

• Build strong relationships with stakeholders across business, operations, technology, and external partner organizations.
• Lead requirements and discovery conversations with both technical and non-technical audiences.
• Translate technical concepts into business-friendly language and business requirements into actionable technical specifications.
• Facilitate discussions around scope, requirements, priorities, solution design, and implementation decisions.
• Work across multiple teams to resolve competing requirements and drive stakeholders toward consensus.
• Identify stakeholder pain points and translate them into opportunities for improved data products and processes.

Agile Delivery

• Work within cross-functional Agile delivery teams throughout the software development lifecycle.
• Develop and refine user stories, requirements, acceptance criteria, and supporting documentation.
• Partner with Product Owners, engineers, QA, and other team members during backlog refinement and delivery.
• Support prioritization decisions based on business value, dependencies, technical considerations, and stakeholder needs.
• Participate in Agile ceremonies and contribute to continuous improvement across delivery teams.

Required Qualifications

• 5+ years of experience as a Business Analyst, Data Business Analyst, Technical Business Analyst, or Senior Business Analyst.
• Experience working in data-intensive enterprise environments.
• Strong hands-on SQL skills with the ability to query, analyze, validate, and troubleshoot large datasets.
• Experience working with data warehouses, enterprise databases, and complex data flows.
• Familiarity with APIs, system integrations, third-party applications, and source-to-target data movement.
• Proven experience gathering and documenting functional and non-functional requirements.
• Experience creating user stories, acceptance criteria, process flows, system workflows, and user journeys.
• Ability to translate business requirements into specifications that development and data engineering teams can implement.
• Strong analytical and problem-solving skills, particularly around data quality and data validation.
• Experience working with cross-functional teams in an Agile/Scrum environment.
• Ability to facilitate requirements sessions and drive stakeholders toward decisions and consensus.
• Strong written and verbal communication skills.
• Ability to manage multiple priorities in a fast-moving environment.
• Strong stakeholder management skills across both business and technology organizations.

Preferred Qualifications

• Experience within Property & Casualty insurance or another data-intensive financial services environment.
• Understanding of insurance-related data, including policy, transaction, or financial data flows.
• Experience with technologies such as SQL Server, Oracle, Databricks, or comparable modern data platforms.
• Experience supporting external-facing data products, partner integrations, or data exchanges.
• CBAP or another relevant Business Analysis certification.
• Exposure to organizational change initiatives.
• Experience working with geographically distributed teams.

What Makes Someone Successful in This Role

The strongest candidate will be more than a traditional requirements-focused Business Analyst. We are looking for someone who can comfortably move between business conversations and hands-on data analysis.

You should be able to speak with stakeholders to understand what they need, translate those needs for technical teams, use SQL to investigate the underlying data, and follow a requirement through implementation and validation.

This opportunity is particularly well suited for someone who enjoys solving complex data problems, working across business and engineering teams, and helping organizations improve how they use and deliver data.