Infinity Quest
Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst with a contract length of "Unknown" and a pay rate of "Unknown," located in an energy trading environment. Key skills include energy trading experience, SQL, Python, and familiarity with AI-driven initiatives.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Consulting #Agile #Documentation #AI (Artificial Intelligence) #Microsoft Power BI #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #UAT (User Acceptance Testing) #BI (Business Intelligence) #Jira #DevOps #Python #Tableau #Data Visualisation #Scripting #Data Science #Azure #Databases #Azure DevOps #ML (Machine Learning) #Business Analysis
Role description
Job Description:
We are engaging a Business Analyst to provide domain and analytical services as part of the Golden Phoenix transformation programme within an energy trading environment. The focus of the engagement is to bridge energy trading domain knowledge with AI-driven initiatives, supporting clearly defined project outcomes.
This role operates in a consultative, deliverables-focused capacity, aligned to specific programme milestones rather than ongoing operational support.
Scope of Services / Key Deliverables
• Analyse and document energy trading processes, workflows, and data flows across the trading lifecycle
• Translate trading and business requirements into clear functional and analytical specifications for AI and data science teams
• Act as the domain interface between traders, quants, data scientists, and technology teams
• Define business rules, success metrics, and acceptance criteria for AI-enabled trading use cases
• Support use-case prioritisation and value assessment within the Golden Phoenix programme
• Produce high-quality documentation (process maps, requirements, impact assessments) aligned to project deliverables
• Support UAT and validation activities against agreed business outcomes
Required Expertise
• Proven experience as a Business Analyst within energy trading (power, gas, LNG, or commodities)
• Strong understanding of front-to-back trading processes (pricing, risk, scheduling, settlements, etc.)
• Experience working on AI, analytics, or data-driven transformation initiatives
• Ability to translate complex domain concepts into structured requirements for technical teams
• Experience delivering work in project-based or consulting environments
• Strong stakeholder engagement and communication skills
• Hands-on experience with SQL and at least one scripting language (e.g. Python).
• Familiarity with relational databases and data warehousing concepts.
• Experience working with market data, trading data, or financial reference data.
• Exposure to data visualisation tools (e.g. Power BI, Tableau).
• Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA).
Desirable Experience
• Exposure to AI / ML concepts and how they are applied in trading contexts
• Experience working with trading platforms, ETRM/CTRM systems, or proprietary trading tools
• Background in large-scale transformation or modernization programmes
• Familiarity with agile delivery environments
Job Description:
We are engaging a Business Analyst to provide domain and analytical services as part of the Golden Phoenix transformation programme within an energy trading environment. The focus of the engagement is to bridge energy trading domain knowledge with AI-driven initiatives, supporting clearly defined project outcomes.
This role operates in a consultative, deliverables-focused capacity, aligned to specific programme milestones rather than ongoing operational support.
Scope of Services / Key Deliverables
• Analyse and document energy trading processes, workflows, and data flows across the trading lifecycle
• Translate trading and business requirements into clear functional and analytical specifications for AI and data science teams
• Act as the domain interface between traders, quants, data scientists, and technology teams
• Define business rules, success metrics, and acceptance criteria for AI-enabled trading use cases
• Support use-case prioritisation and value assessment within the Golden Phoenix programme
• Produce high-quality documentation (process maps, requirements, impact assessments) aligned to project deliverables
• Support UAT and validation activities against agreed business outcomes
Required Expertise
• Proven experience as a Business Analyst within energy trading (power, gas, LNG, or commodities)
• Strong understanding of front-to-back trading processes (pricing, risk, scheduling, settlements, etc.)
• Experience working on AI, analytics, or data-driven transformation initiatives
• Ability to translate complex domain concepts into structured requirements for technical teams
• Experience delivering work in project-based or consulting environments
• Strong stakeholder engagement and communication skills
• Hands-on experience with SQL and at least one scripting language (e.g. Python).
• Familiarity with relational databases and data warehousing concepts.
• Experience working with market data, trading data, or financial reference data.
• Exposure to data visualisation tools (e.g. Power BI, Tableau).
• Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA).
Desirable Experience
• Exposure to AI / ML concepts and how they are applied in trading contexts
• Experience working with trading platforms, ETRM/CTRM systems, or proprietary trading tools
• Background in large-scale transformation or modernization programmes
• Familiarity with agile delivery environments
