Job Summary

As a data analyst your main role is understanding business requirements and provide data mapping and analysis that forms the blueprint of data flow from raw source systems to a customized data mart dashboards or any other API required for data consumption. You will play a crucial role in the data management process ensuring that data is collected transformed and made accessible for analytical purposes. Your expertise in data technologies will enable the organization to make informed decisions and derive valuable insights from large datasets. 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 engineeringProven experience as a Data Analyst or in a similar role with at least X years
of 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