Morton is seeking an experienced IT Business Analyst to support an enterprise data lakehouse initiative for a professional services organization in Richmond, VA.
This individual will work closely with business stakeholders, data architects, engineering teams, and technology leadership to gather and document requirements supporting the organization's enterprise data platform.
The ideal candidate has a strong background in technical business analysis, particularly within data warehouse, data lakehouse, or enterprise analytics environments. This role requires someone who understands data integration, source-to-target mapping, and data governance while effectively translating business needs into actionable technical requirements.
Key Responsibilities
Partner with business and technology leadership to identify and prioritize data products and use cases that maximize the value of the enterprise data lakehouse investment.
Gather, document, analyze, and prioritize business and technical requirements for enterprise data lakehouse capabilities.
Collaborate with data architects, engineers, analytics teams, and business stakeholders to ensure technical solutions align with organizational objectives.
Develop and maintain source-to-target data mappings, business rules, data definitions, and metadata requirements.
Support data ingestion, transformation, integration, and consumption processes by documenting technical specifications and data requirements.
Facilitate requirements workshops and stakeholder sessions to identify reporting, analytics, AI/ML, and self-service data needs.
Translate business requirements into detailed functional and non-functional specifications for technical teams.
Identify data quality issues, integration dependencies, and potential gaps between business requirements and technical solutions.
Support requirements validation, user acceptance testing (UAT), and implementation activities.
Maintain clear documentation and communicate project requirements, changes, and priorities throughout the delivery lifecycle.
Explore opportunities to leverage AI-enabled productivity tools, including Microsoft Copilot and Harvey, to improve efficiency and collaboration.
Required Qualifications
Proven experience as an IT Business Analyst supporting enterprise data platforms, data warehouses, data integration, or analytics initiatives.
Hands-on experience developing source-to-target data mappings, business rules, data definitions, and technical requirements.
Strong understanding of data ingestion, transformation, integration, and data quality concepts.
Experience gathering and documenting functional and non-functional requirements for technical implementation teams.
Ability to facilitate workshops and requirements sessions with business stakeholders, data architects, and engineering teams.
Experience translating complex business needs into clear, actionable technical specifications.
Strong analytical, problem-solving, documentation, and communication skills.
Ability to manage competing priorities and work effectively across multiple business and technology teams.
Preferred Qualifications
Experience supporting enterprise data lakehouse implementations or data modernization initiatives.
Familiarity with Microsoft Azure, Azure Data Factory, Databricks, or comparable cloud data platforms.
Strong SQL skills, including the ability to query and validate data.
Experience with ETL/ELT processes, data pipelines, data modeling, and metadata management.
Understanding of data governance, master data management, and enterprise reporting environments.
Experience supporting business intelligence, self-service analytics, or AI/ML initiatives.
Familiarity with Agile delivery methodologies and tools such as Jira or Azure DevOps.
Experience within legal, professional services, or highly regulated environments.
Familiarity with AI productivity tools such as Microsoft Copilot or Harvey.