Title: Technical Business Analyst Data / AWS Duration: Full time with ComTec Location: Newark, NJ / South Plainfield, NJ (Hybrid 3 days a week onsite)
We are seeking an experienced Technical Business Analyst Data/AWS. This role will work closely with business stakeholders, Data Engineers, Data Modelers, Architects, and technical teams to gather and document requirements, develop test cases, support solution design, and assist with data onboarding activities within the AWS data environment. The ideal candidate will have strong experience working on data-centric technology projects and the ability to translate business requirements into clear technical and functional specifications.
Responsibilities:
Gather, analyze, validate, and document business, functional, and data requirements use cases.
Work closely with business stakeholders and technical teams to understand business needs, data requirements, and expected outcomes.
Translate business requirements into functional requirements, user stories, acceptance criteria, process flows, and technical specifications.
Collaborate with Data Engineers, Data Modelers, Data Architects, and developers to ensure requirements are accurately translated into technical solutions.
Analyze source and target data and document source-to-target data mappings, transformation rules, business rules, and data dependencies.
Develop and maintain detailed test scenarios, test cases, test data, expected results, and acceptance criteria.
Support functional testing, data validation, integration testing, and User Acceptance Testing (UAT).
Validate that implemented data solutions meet documented business and functional requirements.
Participate in solution design discussions and document the agreed technical and functional solution.
Work with technical teams to understand data flows, data transformations, data pipelines, and downstream reporting requirements.
Support data onboarding and registration into AWS Data Zone.
Assist with documenting data assets, metadata, business definitions, ownership, classifications, and other information required for AWS Data Zone.
Support data cataloging, metadata management, data lineage, and data governance activities.
Identify data quality issues and work with Data Engineers and other technical teams to investigate and resolve them.
Coordinate with stakeholders to resolve requirements gaps, data issues, testing defects, and implementation questions.
Maintain traceability between business requirements, technical requirements, test cases, and delivered solutions.
Participate in Agile ceremonies, status meetings, requirements walkthroughs, design reviews, and stakeholder meetings.
Track requirements, dependencies, risks, issues, action items, and decisions through completion.
Create and maintain project documentation including requirements documents, process flows, data mappings, test documentation, and solution design documentation.
Skills & Experience:
5+ years of Business Analysis / Technical Business Analysis experience with experience supporting data or technology projects.
Strong experience with requirements gathering, analysis, documentation, and stakeholder management.
Proven experience documenting business requirements, functional requirements, user stories, acceptance criteria, and process flows.
Strong experience developing test scenarios, test cases, expected results, and UAT documentation.
Experience working with Data Engineers, Data Architects, Data Modelers, Developers, and business stakeholders.
Strong understanding of data flows, data mapping, data transformation, data quality, and data validation.
Experience developing source-to-target data mappings and documenting business/data transformation rules.
Experience participating in or supporting solution design activities.
Working knowledge of AWS data services and cloud data environments.
Experience with AWS Data Zone / DataZone, data catalog, metadata management, or data governance is highly preferred.
Strong SQL skills for data analysis, validation, and reconciliation.
Experience supporting data onboarding, data registration, metadata documentation, or data cataloging activities.
Experience with data quality and data governance processes.
Strong analytical, problem-solving, communication, documentation, and stakeholder-management skills.
Experience working within Agile, Scrum, Hybrid, or Waterfall delivery environments.
Experience with tools such as Jira, Confluence, SharePoint, Visio, or similar requirements/documentation platforms.
Nice to Have:
Hands-on experience with AWS Data Zone.
Experience with AWS S3, Glue, Redshift, Athena, or Lambda.
Experience with data lakes and enterprise data warehouses.
Experience with Power BI or other enterprise reporting platforms.
Experience with data lineage, metadata, data cataloging, and data governance.
Experience in enterprise data modernization or cloud data migration projects.
Experience working with data models and dimensional modeling.
Experience in an environment with multiple concurrent data use cases.
