The Data analyst will be involved in providing ad hoc analysis, insights, and building and maintaining machine learning solutions. Should have ability to use different analytics tools and platforms like SAS, SQL, Python, R. etc.
Data analyst with basic proficiency in statistical analysis, data mining, machine learning and working with large scale datasets
- B.S. or Masters or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.
- 0-3 years ( CAN CONSIDER FRESHERS )of experience in industry (ideally ecommerce, technology, consumer banking, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results.
- Should have a basic understanding of using data mining, machine learning techniques and recommendation Engines on large amount of data, building and implementing various statistical models.
- Good written and oral communication skills.
Key skill sets required
Statistical Programming Tool Skills : Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark or other statistical programing software.
Platform and Database skills : Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..
- Experience 0 - 2 Years