Technical Business Systems Analyst

Role: Technical Business Systems Analyst

Duration: 6 months

Location: Newark, NJ

Type : Contract

Rate: $60 to $65/hr

Key Responsibilities:

• Own end ‐ to ‐ end delivery and support of financial services data products, from requirement intake through production support, ensuring stability, accuracy, and timeliness.
• Act as the primary Technical BSA for BAU and production data issues, taking accountability for root cause analysis, remediation, and prevention of recurring issues.
• Partner with business stakeholders to translate financial domain business needs into clear, actionable functional and technical specifications, including data mappings, transformations, and validation rules.
• Work closely with data engineering and technology teams to analyze existing data logic, review SQL and code, and validate that implementations align with business intent.
• Proactively monitor and assess data quality, identify issues early, and drive resolution through to completion rather than simple escalation.
• Support Agile delivery by contributing to backlog refinement, sprint planning, story breakdown, acceptance criteria, and release readiness.
• Collaborate with Front Office, Risk, Operations, and downstream consumers to clarify requirements, resolve data questions, and ensure shared understanding of outputs and impacts.
• Ensure data solutions meet production ‐ grade standards, including stability, accuracy, traceability, auditability, and operational resilience.
• Continuously improve BAU processes, controls, and documentation, reducing operational risk and improving transparency and efficiency.
• Proactively identify opportunities for process Eligible to workimisation, automation, and improved data controls, incorporating best practices across financial services data delivery.

Technical Skills & Experience:

• Strong SQL expertise, including the ability to:
• write, review, and Eligible to workimise complex queries,
• perform Consultant data analysis and validation
• debug and investigate production data issues
• Hands on experience working with relational data models and enterprise data platforms (e.g. Microsoft SQL Server).
• Ability to read existing code (e.g. SQL, Python, Java) to extract, decompose, and validate underlying business logic.
• Solid understanding of core data concepts, including:
• Source to target mappings
• Data transformations and enrichment
• Historical vs "as of" data handling
• Data quality, reconciliation, and control frameworks
• Good understanding of data flows, system integrations, and application architectures within enterprise environments
• Desirable skills/knowledge/experience:
• Exposure to process Eligible to workimisation, automation, or data governance initiatives within financial services.
• Experience working in globally distributed delivery teams.

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