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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
Bachelors 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
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities.