Technical Data Business Analyst

Technical Data Business Analyst

Posted 1 day ago by Natobotics

Negotiable
Undetermined
Hybrid
London, England, United Kingdom

Summary: The Technical Data Business Analyst role focuses on supporting the Digital Trading Analytics portfolio within the Oil & Gas industry. The position requires a strong technical foundation in data analysis, management, and testing, particularly in trading and analytics platforms. The analyst will engage in data-driven initiatives, ensuring data quality and consistency while collaborating with various stakeholders. This role is hybrid, requiring three days a week in the office.

Key Responsibilities:

  • Gather, define, and document business and data requirements for analytics and reporting projects.
  • Conduct data profiling, gap analysis, and root cause investigation to ensure data quality and consistency.
  • Lead data migration efforts, including mapping, validation, and reconciliation across platforms.
  • Collaborate with data engineers to validate pipelines, transformations, and ingestion processes.
  • Design and execute test plans, including functional, regression, and user acceptance testing (UAT).
  • Work with market and reference data sources to support trading analytics.
  • Translate complex business requirements into structured data models and reporting logic.
  • Actively engage stakeholders from trading, analytics, and IT departments.
  • Participate in Agile ceremonies such as sprint planning, story refinement, and backlog grooming.

Key Skills:

  • 5+ years of experience as a data or business analyst in a trading or energy environment.
  • Proficiency in SQL and Python for data querying and transformation.
  • Solid background in data reconciliation, testing, and profiling.
  • Experience with relational databases and data warehousing concepts.
  • Exposure to market data and financial reference data.
  • Knowledge of Agile frameworks and tools such as JIRA or Azure DevOps.
  • Excellent communication skills and stakeholder engagement capabilities.
  • Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus.
  • Exposure to cloud platforms (e.g., Databricks, Snowflake) is a plus.
  • Understanding of data governance, lineage, and metadata management is a plus.
  • Experience with data cataloguing and quality frameworks is a plus.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Job Title: Technical Data Business Analyst – Digital Trading Analytics

Location: London (Hybrid: 3 days/week in-office mandatory)

Contract Duration: 12 to 24 months (based on performance)

Industry Experience Required: Oil & Gas

Overview

We are seeking a skilled Technical Data Business Analyst to join the Digital Trading Analytics (dTA) portfolio. This position is ideal for candidates with a strong technical foundation in data analysis, management, and testing—especially within trading, market data, and analytics platforms. This role offers a unique opportunity to contribute to data-driven initiatives supporting trading and analytics use cases across the Oil & Gas domain.

Key Responsibilities

  • Gather, define, and document business and data requirements for analytics and reporting projects.
  • Conduct data profiling, gap analysis , and root cause investigation to ensure data quality and consistency.
  • Lead data migration efforts, including mapping, validation, and reconciliation across platforms.
  • Collaborate with data engineers to validate pipelines, transformations, and ingestion processes.
  • Design and execute test plans, including functional, regression, and user acceptance testing (UAT) .
  • Work with market and reference data sources to support trading analytics.
  • Translate complex business requirements into structured data models and reporting logic.
  • Actively engage stakeholders from trading, analytics, and IT departments.
  • Participate in Agile ceremonies such as sprint planning, story refinement, and backlog grooming.

Required Skills & Experience

  • 5+ years of experience as a data or business analyst in a trading or energy environment.
  • Proficiency in SQL and Python for data querying and transformation.
  • Solid background in data reconciliation, testing, and profiling .
  • Experience with relational databases and data warehousing concepts.
  • Exposure to market data and financial reference data .
  • Knowledge of Agile frameworks and tools such as JIRA or Azure DevOps .
  • Excellent Communication Skills And Stakeholder Engagement Capabilities.

Nice to Have

  • Familiarity with data visualization tools (e.g., Power BI, Tableau).
  • Exposure to cloud platforms (e.g., Databricks , Snowflake ).
  • Understanding of data governance , lineage , and metadata management .
  • Experience with data cataloguing and quality frameworks .