Data Operations Business Analyst

Richard James Recruitment Specialists Ltd; Greater London; Presencial; GBP 55.000 - 85.000; Jornada completa

Descripción de la vacante

Richard James Recruitment Specialists Ltd is seeking a London-based Data Operations Business Analyst to strengthen our client’s data operations capability. The role acts as a key contact for London and European trading desks, delivering operational support, coordinating improvements, and enabling automated workflow-driven data processes.

The successful candidate will resolve data quality and reference data issues, investigate root causes, and collaborate with business and tech stakeholders to

Formación

• 3+ years in commodities or financial services with exposure to ETRM/CTRM.
• Strong SQL and data analysis abilities to interpret complex datasets.
• Experience in data mapping, master data management and data quality controls.
• Experience with data workflows and acceptance criteria.
• Experience with APIs and system integrations.
• Python for data analysis or automation.
• Familiarity with data catalogs and data quality platforms.

Responsabilidades

• Provide operational support across trading systems and monitor data quality issues and breaches.
• Reconcile trading system data against central master data records, investigating discrepancies.
• Test and implement solutions with IT and business stakeholders to address root causes.
• Investigate and resolve reference data issues including unmapped trades and expiry dates.
• Translate recurring issues into structured business requirements for data management and workflows.
• Document data mappings, business rules and system requirements for governance.

Conocimientos

SQL & data analysis

Data mapping & master data

APIs

Python

Data quality controls

Data workflows

Data governance

Educación

3+ years in commodities or financial services (ETRM/CTRM)

Herramientas

TIBCO EBX

ServiceNow

Atlan

Monte Carlo

Descripción del empleo

An international commodities business is looking to strengthen its Data Operations capability with the appointment of a London based Data Operations Business Analyst.

Working as an extension of an established Data Operations team, the successful candidate will act as a key point of contact for the London and European trading desks, providing local operational support, improving coordination and helping ensure the effective delivery of day to day data operations.

The role will combine hands on operational responsibilities with business analysis and continuous improvement, supporting an ongoing transition towards more automated, controlled and workflow driven processes.

Initially, there will be a particular focus on resolving existing data quality and reference data issues across trading systems, including trade mappings, system reference data and contract expiry dates. The successful candidate will investigate underlying issues, identify opportunities for improvement and work closely with business and technology stakeholders to implement sustainable solutions.

This is a varied position offering the opportunity to work across trading operations, data management and technology, while playing an important role in strengthening the overall effectiveness of the Data Operations function.

KEY RESPONSIBILITIES

• Provide operational support across trading systems, monitor exchange limits and elevate potential breaches to the relevant internal stakeholders.
• Reconcile trading system counterparty, strategy and reference data against central master data records, investigating and resolving discrepancies.
• Work with business stakeholders and technology teams to test and implement solutions, ensuring underlying issues are addressed.
• Investigate and resolve existing reference data issues, including unmapped trades, incomplete system data and incorrect contract expiry dates.
• Translate recurring operational issues into structured business requirements covering data management, workflows, system integration and controls.
• Use SQL and data analysis techniques to investigate complex datasets, identify recurring patterns and establish root causes.
• Document data mappings, business rules, data definitions, process flows and system requirements.
• Design and maintain approval workflows and processes for master data change requests.
• Help establish procedures, service levels and operational guidelines to support consistent delivery across the wider Data Operations team.
• Work alongside the wider team to manage escalated exceptions and operational issues, collaborating with IT and trading desks to implement permanent fixes.
• Maintain oversight of operational failures, ensuring issues are logged, categorised, assigned, investigated and resolved.
• Monitor operational performance, exceptions and key data quality metrics, using findings to help prioritise future improvements.

KNOWLEDGE, SKILLS AND EXPERIENCE

• 3+ years' experience within commodities, energy trading or financial services, with practical exposure to ETRM/CTRM systems.
• Strong SQL and data analysis skills, with the ability to investigate and interpret complex datasets independently.
• Good understanding of data mapping, reference data, master data management, data quality and operational controls.
• Working knowledge of relational data models, data lineage and system to system data flows.
• Experience translating operational challenges into structured business requirements and acceptance criteria.
• Ability to work effectively across operational, business and technical teams.
• A proactive approach to problem solving, process improvement and operational efficiency.
• Experience with master data management platforms, particularly TIBCO EBX, and workflow tools such as ServiceNow.
• Exposure to data catalogue and data quality platforms such as Atlan and Monte Carlo.
• Working knowledge of APIs and system integrations.
• Python experience for data analysis or process automation.
• Understanding of exchange traded product reference data, including contract specifications and expiry calendars.
• Experience working with offshore or shared service teams.

Success Measures

• Measurable reduction in outstanding reference data issues, with agreed targets established during the first 90 days.
• Reduction in manual interventions and recurring operational exceptions.
• Identification and resolution of underlying data quality issues rather than repeated corrective activity.
• Increased adoption of structured workflows for master data changes and approvals.
• Successful delivery of repeatable operational activities in collaboration with the wider Data Operations team, supported by documented procedures and service levels.