Technical Business Systems Analyst

VOLTO Consulting; Newark (NJ); On-site; USD 90,000 - 120,000; Full time

Job summary

The VOLTO Consulting team in Newark is looking for an experienced Technical Business Systems Analyst to support critical data solutions within a global financial services client environment. The role will involve end-to-end ownership of data onboarding and troubleshooting, enforcing data quality and compliance.

Key qualifications include at least 5 years of experience in financial services, strong SQL expertise, and the ability to communicate effectively with both technical and non-technical stakeholders. Join us and contribute to data-driven decision-making!

Qualifications

• 5+ years of experience as a Technical Business Systems Analyst or similar role in financial services.
• Hands-on experience with investment or trading platforms.
• Strong understanding of financial data domains.

Responsibilities

• Support data quality and issue resolution in a financial services environment.
• Collaborate with stakeholders to deliver high-quality data solutions.
• Continuously improve processes and documentation.

Skills

SQL

Financial services knowledge

Data analysis

Analytical skills

Problem-solving

Education

Bachelor's degree in relevant discipline

Tools

Microsoft SQL Server

Python

Tableau

Power BI

Job description

Role Overview

We are seeking an experienced Technical Business Systems Analyst to support a global financial services client environment. This role sits at the intersection of business, data, and technology, and plays a key role in enabling data‑driven decision making, supporting critical platforms, and delivering change across business and technology teams. The role is heavily focused on BAU data provisioning with end‑to‑end ownership of data onboarding, issue investigation and resolution, and continuous improvement, operating within an Agile delivery model. The successful candidate will be hands‑on, proactive, and accountable, with strong financial services / capital markets domain knowledge, solid SQL skills, and the ability to decompose complex business logic, understand existing technical implementations, and work closely with business stakeholders and engineering teams to ensure the reliable, high quality delivery of data products.

Key Responsibilities

• Capital markets (Equity, Fixed Income, Derivatives)
• Asset management / investment lifecycle
• Portfolio management concepts
• Asset allocation and risk‑adjusted returns
• Investment valuation techniques
• CFA (Chartered Financial Analyst) Required or Progressing
• Financial modeling (Excel, Python preferred)
• Data analysis and reporting tools (SQL, Power BI, Tableau)
• Experience with financial platforms or data sources (Bloomberg, FactSet, etc.)
• Requirement gathering and documentation
• Process mapping and workflow design
• Strong analytical and problem‑solving skills
• 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 optimisation, automation, and improved data controls, incorporating best practices across financial services data delivery

Your Profile

Essential Skills/knowledge/experience

• Bachelor's degree in computer science, Information Systems, Data Analytics, Business Information Systems, or a related discipline
• 5+ years proven experience in a Technical Business Analyst, Business Systems Analyst, Data Analyst, or similar role within financial services / capital markets
• Hands‑on experience supporting investment, trading, risk, operations, or regulatory reporting data platforms in a production environment
• Experience working with industry standard investment or portfolio management platforms
• Strong understanding of financial services data domains, with the ability to engage confidently with Front Office, Risk, Operations, and Technology stakeholders without heavy translation layers
• Demonstrated experience acting as a primary BA/BSA for BAU and production critical issues, with clear ownership from investigation through resolution
• Strong analytical and problem‑solving skills, particularly in the context of complex data, business logic, and operational issues
• Excellent communication skills, with the ability to explain complex data concepts clearly to both technical and non‑technical audiences
• Ability to manage multiple priorities and deliver outcomes in a fast‑paced, Agile delivery environment, with a strong sense of ownership and accountability

Technical Skills & Experience

Strong SQL expertise, including the ability to:

• write, review, and optimise complex queries
• perform independent 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

Desirable Skills/knowledge/experience

• Exposure to process optimisation, automation, or data governance initiatives within financial services
• Experience working in globally distributed delivery teams
• Experience Required: 8-10 years