Data Analyst

Client of HireAlpha

Roles and Responsibility

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

Proven 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