Data Analyst BRF- Understanding the project requirements, by conducting Business Discovery Sessions
Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into the desired mart and reports
Prepare data mapping documents, needed for development of various layers of the data platform (raw bronze, EDM silver, project specific gold)
Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power BI developers
Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of the business or organization. Strong analytical and problem-solving skills to effectively design data solutions.
- Banking Retail, Business & Wholesale Product Knowledge and understanding
- Attention to detail and a commitment to delivering high-quality work.
- Excellent communication and teamwork skills to collaborate with cross-functional teams.
- Ability to manage time effectively and prioritize tasks in a dynamic work environment.
Technical Skills
- Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
- Data Visualization tools Power BI, Business Objects, Crystal or similar tool
- Data Warehousing and ETL concepts
- Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
- Deep understanding of distributed data processing frameworks, particularly Apache Spark.
- Experience with cloud platforms (Azure, AWS) including Object storage, compute, networking, and data integration services.
- Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
- Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
- Knowledge of data governance, quality assurance, and compliance best practices.
- Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues)
relevant to performance-critical data engineering. Proven experience as a Data Analyst or in a similar role, with at least X yearsof hands-on experience in developing data pipelines and managing data infrastructure within Azure.
3 years of experience in banking data Databricks and SQL experience required, Experience in reporting, analysis and MIS teams preferred & Worked on end-to-end Data Product deployment
