Description
Objectives
Based within the London office, The snr Business Analyst (BA) will work in the Data and Analytics vertical reporting into the functional lead. This role is responsible for enhancing and optimising the use of commodity data (power, gas and metals) across the Trading IT landscape. It will involve producing analysis of the company's existing and new business processes and proposing best practice methods to support these. Their key objective will be to provide data‑orientated technical expertise to a Front Office department that handles large datasets.
They will work alongside Business Analysts, Application Support Analysts, Developers, UAT team and Architects, to support and resolve incidents and, to drive innovation and automation, tooling and data infrastructure development. This is a business facing role so excellent communication (written and spoken) and negotiation skills are essential.
Duties & Responsibilities
Work autonomously and within a highly skilled team to deliver both business process and technology enabled business change.
Working with complex data sets to optimise business processes.
Responsible for data provisioning - bringing in market data (Prices, FX Rates) and fundamentals data (Auction results, Consumption, Generation), including historical data, into the organisation.
Enhance and expand our in-house data platform by adding new features, such as data integrity checks, data governance, and data visualization.
Collaborate with stakeholders to gather and refine business requirements.
Detailed documenting of requirements (user stories) as well as how to guides and sharing of technical knowledge.
Challenge business and technical requirements that are deemed unfit for the intended purpose and propose alternative ideas or suggestions that meet the needs effectively.
Driving a better understanding of the value of data with stakeholders and users and contribute to improvements in data management and data quality.
Hand over requirements to the technical team through 'read-for-review' sessions.
Lead UAT (User Acceptance Testing) sessions to ensure the final solution meets business requirements.
Ensure end‑to‑end delivery of requirements while maintaining high user satisfaction.
Present analysis using visuals, examples, and mind maps to aid understanding.
Establish and maintain clear data governance across the organisation and drive best practice.
Support vertical leads in managing stakeholder expectations around short and medium terms deliveries of these solutions.
Skills and Competencies
A strong understanding of the Commodities Trading landscape (both physical and financial) is advantageous.
Self‑motivated and able to work within a team environment.
Ability to grasp complex business issues and contribute to IT solutions.
Strong teamwork skills with the ability to collaborate and achieve results collectively.
Proven ability to coordinate tasks within complex projects.
Strategic mindset to define requirements that fit into overall IT strategy.
Effective time management and organisational skills with the ability to meet multiple tight deadlines in a pressurised environment.
Excellent communication skills, both written and verbal.
Adaptability and resilience to cope with a rapidly growing and changing business environment.
Motivated, tenacious, and proactive in achieving results.
Diligent, dependable, and committed to upholding strong integrity.
XP
Comfortable in working with commodity data within Power, Gas, and Metals, with good knowledge of trading and financial terminology.
XP working with market data providers (e.g., ZEMA, Refinitiv PointConnect, Bloomberg) is advantageous.
Ability to conduct technical analysis (e.g., API connectivity with exchanges using tools such as Postman), and work with real‑time data.
Ability to triage and troubleshoot issues in production for delivered items, ensuring timely resolution and minimal business impact (using tools such as ELK: Elastic Search, Kibana).
XP with data visualization tools (e.g., Grafana, Power BI, Tableau).
Proficient in data analysis for various data formats (e.g., JSON, CSV, SQL).
Education
Degree (or equivalent) ideally in a numerate subject or computing related subject.
Professional certifications in relevant skill areas are advantageous.
Skills
* API
* SQL
* Market Data
* Bloomberg
* Reuters
* Zema
* Business Analyst
Job Title
Senior Market Data Business Analyst
Location
London, UK
Job Type
Contract
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