Role: Data Analyst
Skills: Power BI (data modelling, DAX, performance optimization, Python, Azure Data Lake, Synapse, Data bricks
Location: Madrid Spain
Type: Permanent
We are at Coforge hiring for Data Analyst with Power BI (data modelling, DAX, performance optimization, Python, Azure Data Lake, Synapse, Data bricks
About The Role
- We are looking for a highly skilled Data Analyst to join a growing Data & AI function within a domain-driven organization in the banking sector.
- This role is critical to strengthening reporting, data visualization, and analytical capabilities, supporting key areas such as Retail & Commercial Banking.
- You will work in a modern Azure-based data platform, collaborating closely with Data Engineers, Analytics teams, and business stakeholders in a fast-evolving environment that is increasingly leveraging AI and agent-based data workflows.
Key Responsibilities
- Design, develop, and maintain Power BI dashboards and reports for business-critical use cases.
- Translate business requirements into data models, KPIs, and visual insights.
- Work with domain teams to ensure consistent and trusted reporting across the organization.
- Perform data analysis and exploration using Python and/or SQL.
- Collaborate with Data Engineers to ensure data quality, availability, and performance.
- Contribute to data validation and QA processes, including emerging agent-based approaches.
- Support stakeholders in understanding data and driving data-driven decision making.
- Ensure adherence to data governance and domain-oriented data principles.
Required Skills & Experience
- Proven experience as a Data Analyst in data-driven environments (preferably banking or financial services).
- Strong expertise in Power BI (data modelling, DAX, performance optimization).
- Solid knowledge of SQL and data querying.
- Experience with Python for data analysis (e.g., Pandas).
- Understanding of data warehousing concepts and analytical data models.
- Experience working in Azure data environments (e.g., Azure Data Lake, Synapse, Data bricks).
- Ability to work with large-scale datasets and distributed environments (e.g., Spark is a plus).
- Strong analytical thinking and ability to translate data into actionable insights.
Nice To Have
- Experience in Retail & Commercial Banking analytics.
- Exposure to domain-driven data architectures (Data Mesh or similar).
- Experience working with AI-enabled analytics or agent-based workflows.
- Knowledge of data quality frameworks and testing.
- Familiarity with Agile delivery environments.
- Strong communication skills with both technical and business stakeholders.
- Proactive mindset and ability to work in fast-paced environments.
- High attention to detail and commitment to data accuracy.
- Team player with a collaborative approach.
- Opportunity to work in a leading Data & AI organization within banking.
- Exposure to modern data platforms (Azure, Spark).
- Participation in cutting-edge initiatives (AI, agent-based data workflows).
- Dynamic, domain-oriented and international environment.