

iXceed Solutions
Technical Data Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Data Business Analyst on a 6-month contract in London, UK, paying £400.00-£500.00 per day. Requires 3 years of oil & gas experience, strong SQL and Python skills, and familiarity with Agile practices.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date
November 5, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Data Governance #Snowflake #Databricks #Azure DevOps #Data Migration #SQL (Structured Query Language) #DevOps #BI (Business Intelligence) #Agile #Datasets #Data Management #Data Reconciliation #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Regression #Data Catalog #Python #Business Analysis #Migration #Cloud #Data Quality #Tableau #UAT (User Acceptance Testing) #Data Pipeline #Visualization #Jira #Data Analysis #Data Profiling #Metadata #Azure #Data Engineering #Databases
Role description
Role: Technical Data Business Analyst
Location: London, UK
Mode: Hybrid
Type: Contract
Job Description:
We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms.You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements.
Key Responsibilities
Define and document business and data requirements for analytics and reporting solutions.
Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency.
Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms.
Collaborate with engineering teams to validate data pipelines and transformations.
Design and execute test plans for data products, including functional, regression, and UAT testing.
Work with market data feeds and reference data to support trading analytics use cases.
Translate complex business needs into structured data models and reporting logic.
Engage with stakeholders across trading, analytics, and technology to gather requirements and provide updates.
Support Agile delivery by contributing to backlog grooming, sprint planning, and story refinement.
Required Skills & Experience
Oil & Gas industry experience
Strong experience in data analysis, data reconciliation, and data testing.
Hands-on experience with SQL and Python.
Experience in energy (oil & gas) and financial trading environments.
Familiarity with relational databases and data warehousing concepts.
Experience working with market data, trading data, or financial reference data.
Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA).
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
Nice to Have
Exposure to data visualization tools (e.g. Power BI, Tableau).
Familiarity with cloud-based data platforms (e.g., Databricks, Snowflake).
Knowledge of data governance, lineage, and metadata management.
Exposure to data cataloguing tools and data quality frameworks.
Job Type: Fixed term contractContract length: 6 months
Pay: £400.00-£500.00 per day
Experience:
Oil & Gas industry: 3 years (required)
SQL: 2 years (required)
Python: 3 years (required)
Relational databases: 3 years (required)
Agile delivery practices and tools: 3 years (required)
Data visualization tools (e.g. Power BI, Tableau): 2 years (required)
Role: Technical Data Business Analyst
Location: London, UK
Mode: Hybrid
Type: Contract
Job Description:
We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data, and analytics platforms.You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements.
Key Responsibilities
Define and document business and data requirements for analytics and reporting solutions.
Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency.
Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms.
Collaborate with engineering teams to validate data pipelines and transformations.
Design and execute test plans for data products, including functional, regression, and UAT testing.
Work with market data feeds and reference data to support trading analytics use cases.
Translate complex business needs into structured data models and reporting logic.
Engage with stakeholders across trading, analytics, and technology to gather requirements and provide updates.
Support Agile delivery by contributing to backlog grooming, sprint planning, and story refinement.
Required Skills & Experience
Oil & Gas industry experience
Strong experience in data analysis, data reconciliation, and data testing.
Hands-on experience with SQL and Python.
Experience in energy (oil & gas) and financial trading environments.
Familiarity with relational databases and data warehousing concepts.
Experience working with market data, trading data, or financial reference data.
Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA).
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
Nice to Have
Exposure to data visualization tools (e.g. Power BI, Tableau).
Familiarity with cloud-based data platforms (e.g., Databricks, Snowflake).
Knowledge of data governance, lineage, and metadata management.
Exposure to data cataloguing tools and data quality frameworks.
Job Type: Fixed term contractContract length: 6 months
Pay: £400.00-£500.00 per day
Experience:
Oil & Gas industry: 3 years (required)
SQL: 2 years (required)
Python: 3 years (required)
Relational databases: 3 years (required)
Agile delivery practices and tools: 3 years (required)
Data visualization tools (e.g. Power BI, Tableau): 2 years (required)






