Lead Data Analyst
Listed on 2026-01-24
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
- Strong data querying and processing skills using SQL, SAS, Oracle, Apache Spark or similar language
- Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
- Data Warehousing and ETL concepts
- 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
Experience
- 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
About CLPS RiDiK
RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact.
Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.
We will review applications on a rolling basis until 21st Jan 2026 and early submissions are encouraged. Please note that only shortlisted candidates will be contacted. Thank you for your understanding.
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