Technical Data Business Analyst - Digital Trading Analytics(DTA)

Technical Data Business Analyst - Digital Trading Analytics(DTA)

Posted 1 day ago by eTeam Workforce Limited

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Negotiable
Inside
Hybrid
London, UK
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Agile Methodology Azure Databricks Azure DevOps Bank Reconciliations Data Analysis Databricks Data Governance Data Management Data Migration Datamodel Data Modeling Data Profiling Data Quality Data Visualisation Data Warehousing DevOps Gap Analysis JIRA Management Mapping Software Market Data Metadata Microsoft Azure Nice (Unix Utility) Power BI Profiling (Computer Programming) Python (Programming Language) Reconciliation Relational Databases Snowflake (Data Warehouse) Sprint Planning SQL (Programming Language) Stakeholder Management Tableau (Business Intelligence Software) User Acceptance Testing (UAT) Verification And Validation

Summary: The Technical Data Business Analyst for Digital Trading Analytics will support data-centric initiatives within the Digital Trading Analytics portfolio, focusing on data analysis, management, and quality. This role requires collaboration with data engineers and business users to define and validate data solutions for trading and analytics. The ideal candidate will have a strong background in data migration and testing practices, particularly in the oil and gas sector. The position offers a hybrid working arrangement with mandatory office attendance three days a week.

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.

Key Skills:

  • 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 (eg Azure DevOps, JIRA).
  • Excellent communication skills and ability to work with both technical and non-technical stakeholders.

Salary (Rate): £510.00/day

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Technical Data Business Analyst - Digital Trading Analytics
Possibility of remote work: Hybrid, 3 days/week from office is mandatory
Contract duration: 12 to 24 months, depending on performance
Location: London
Industry experience required: Oil & Gas

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JOB DETAILS

Minimum years of experience: 5+ years

Role Overview

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

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 (eg 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 (eg Power BI, Tableau).
Familiarity with cloud-based data platforms (eg Databricks, Snowflake).
Knowledge of data governance, lineage, and metadata management.
Exposure to data cataloguing tools and data quality frameworks.

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