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Job Description
ECMS/Demand
77208Y25
Skills
ETRM, SQL/python, Power BI / Tableau
JD
Attached
Work Location
Pune
No of Positions
2
Experience
5+
Vendor Rate
12K INR/day
Technical Data Business Analyst Location: 2x Pune(deployment in client office, min 3 days per week in office) Level: Experienced (minimum 5+ years of relevant experience)
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.
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Required Skills & Experience
Strong experience in data analysis, data reconciliation, and data testing.
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).
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
Nice to Have
Experience in energy or financial trading environments.
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.
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