
Capco - Senior Data Analyst - Python/SQL
2 days ago
Role : Data Analyst / Senior Data Analyst
Experience : 7+ Years
Role Overview :
We are seeking an experienced Data Analyst / Senior Data Analyst with a strong background in Banking and Financial Markets. The ideal candidate will bring expertise in data analysis, financial reporting, data migration, and governance, while ensuring accuracy, compliance, and quality across large-scale transformation programs.
Key Responsibilities :
- Define, gather, and validate source data required to deliver actionable insights and business use cases.
- Determine appropriate data mappings to integrate multiple datasets across diverse systems.
- Translate data flows from legacy systems to strategic target platforms, ensuring seamless migration.
- Propose and validate data migration sets with stakeholders to support business objectives.
- Support execution of migration activities, including planning, tracking, and coordinating migration teams.
- Develop and maintain migration run-books, ensuring accuracy and completeness of scope for each customer.
- Collaborate with stakeholders to mitigate risks and avoid negative business/customer impacts.
- Ensure compliance with control requirements surrounding data handling and security.
- Continuously identify opportunities to deliver strategic/optimal solutions, avoiding tactical or short-term fixes.
Role Requirements :
- Strong experience in Data Analysis with Financial Reporting in Banking/Financial Markets.
- Hands-on experience with data models, data dictionaries, and reference data.
- Domain knowledge in one or more areas :
- Party/Client Data
- Finance & Reporting
- Instruments & Pricing
- Market and/or Credit Risk Data
- Market data vendor integrations (e.g., Bloomberg, Refinitiv).
- Excellent stakeholder management skills with ability to communicate across business, compliance, and technology teams.
- Strong knowledge of data quality, governance, and controls.
Technical Skills :
- SQL (strong proficiency in writing queries).
- Python / PySpark knowledge preferred.
- Familiarity with Hadoop ecosystem (HIVE, Scala, big data platforms).
- Experience with tools such as Hive, CMD, Putty, Note++.
- Strong Excel (advanced functions, VBA coding).
- Experience with XML processing and flattening.
- Knowledge of data quality frameworks and governance processes.
- Exposure to SDLC, Agile practices, JIRA & Confluence (mandatory).
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