Data Analyst
| Core Skills 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 |