Lead Data Analyst
About This Role
Technical Skills:
- Strong data querying and processing skills using SQL
- Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
- Data Warehousing and ETL concepts
Competencies:
- 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
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