Lead Data Analyst

· 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

· Core Skills:

o Strong analytical and problem-solving skills to effectively design data solutions.

o Banking Retail, Business & Wholesale Product Knowledge and understanding

o Attention to detail and a commitment to delivering high-quality work.

o Excellent communication and teamwork skills to collaborate with cross-functional teams.

o Ability to manage time effectively and prioritize tasks in a dynamic work environment.

· Technical Skills:

o Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language

o Data Visualization tools – Power BI, Business Objects, Crystal or similar tool

o Data Warehousing and ETL concepts

· Competencies:

o Expert-level proficiency in SQL, Python with SAS/R/Spark as plus

o Deep understanding of distributed data processing frameworks, particularly Apache Spark.

o Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data integration services.

o Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.

o Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).

o Knowledge of data governance, quality assurance, and compliance best practices.

o Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering

Minimum formal education

· Bachelors or master’s degree in computer science, Information Technology, or a related field.

· Demonstrated expertise in working with Data Bricks for data processing and analysis.

· Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.

Certification requirement

Any Cloud Technology Certification an advantage