IT - Technical Business Analyst - Investments Data Platform
Ampcus Inc· enterprise· Technology Consulting· Aug 4, 2026 · 3mo agoPosted 84 days ago
Holmdel, NJ
Hybrid
Full-time
Mid
$105K–$150K est.
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Position: Technical Business Analyst ID: 1001-1
Duration: 7+ months contract-to-hire role
Location: Holmdel, NJ 07733 - Hybrid (Wed & Thurs)
Job Summary:
We are seeking a highly analytical and detail-oriented Technical Business Analyst (TBA) to support our Investments Data Platform initiatives. This role partners closely with Product Manager/Product Owner, and business stakeholders to capture, analyze, and translate complex investment data requirements into scalable technology solutions.
The ideal candidate will have hands-on experience working with investment data (holdings, trades, securities, ratings, cash flows) and will play a key role in driving data integration, automation, and reporting capabilities across the platform.
Key Responsibilities:
Investment Data Requirements & Analysis
· Collaborate with Product Manager/Product Owner, portfolio teams, risk, and operations stakeholders to gather and document business requirements
· Translate investment workflows into functional specifications, data mappings, and system requirements
· Analyze datasets such as holdings, trades, issuer/security master, pricing, and ratings data to support solution design
· Understand upstream/downstream dependencies across data pipelines and reporting systems
Data Analysis & Data Quality
· Perform detailed data profiling, reconciliation, and validation across multiple systems (e.g., source files, data platforms, reporting tools)
· Identify and resolve data quality issues, breaks, and inconsistencies
· Define and document business rules, transformations, and validation checks
· Support data lineage and traceability across ingestion to consumption layers
Jira, Agile Delivery & Backlog Management
· Create and manage Jira features, epics, and user stories aligned to investment data initiatives
· Break down requirements into granular, testable stories with clear acceptance criteria
· Participate in backlog refinement, planning, and prioritization with Product and Engineering teams
· Ensure traceability between business requirements, technical design, and delivery artifacts
Requirement Refinement & Cross-Team Collaboration
· Continuously refine requirements through iteration, stakeholder feedback, and technical feasibility discussions
· Collaborate with data engineers, platform teams, and architects to ensure alignment with system design
· Work closely with QA teams to define test scenarios and ensure requirements are correctly implemented
· Act as a bridge between business and technical teams, ensuring shared understanding
Testing & UAT (User Acceptance Testing)
· Define and execute UAT test cases aligned with investment workflows and data outputs
· Validate end-to-end flows (e.g., data ingestion → transformation → reporting)
· Coordinate with business users to ensure functional completeness and accuracy
· Log and track defects, and support resolution through to closure
Delivery & Stakeholder Communication
· Provide regular updates on feature progress, risks, and dependencies
· Support release validation and production rollout activities
· Ensure delivered solutions meet business expectations and data accuracy standards
· Contribute to continuous improvement of data platform processes and automation
Required Qualifications
· Bachelor’s degree in Finance, Computer Science, Information Systems, or related field
· 5+ years of experience as a Technical Business Analyst in investment, asset management, or financial services domain
· Strong understanding of investment data concepts (e.g., securities, trades, portfolios, asset classes, ratings)
· Hands-on experience with Jira (features, epics, user stories, backlog management)
· Strong data analysis skills using SQL, Excel, or similar tools
· Experience working in Agile/Scrum delivery environments
Preferred Qualifications
· Experience with investment data platforms, data lakes, or warehouse architectures
· Familiarity with tools such as Neoxam data hub,Databricks, Python, or cloud data platforms (Azure/AWS)
· Experience with data ingestion frameworks, ETL/ELT pipelines, and API integrations
· Knowledge of private placements, fixed income, or insurance investment portfolios
· Exposure to enterprise platforms
Key Skills
· Strong analytical and data problem-solving skills
· Deep understanding of data flows, transformations, and integrations
· Excellent stakeholder management and communication
· Ability to translate complex business problems into scalable data solutions
· High attention to detail with focus on data accuracy and completeness
Success Metrics
· High-quality data-driven user stories with clear acceptance criteria
· Reduced data defects and reconciliation breaks
· Timely delivery of investment data features and platform enhancements
· Improved data quality, lineage visibility, and operational efficiency
· Strong stakeholder satisfaction across business, product, and engineering teams
Application prep
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Keywords to mirror
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