Accountabilities
- Work with business and IT partners to understand the business and data requirements.
- Acquire data from primary or secondary data sources and perform data profiling.
- Interpret data, analyze results, and provide quick data analysis.
- Identify, analyze, and interpret trends or patterns in complex datasets.
- Analyze multi-source data and create integration rules for the conformed layer.
- Understand data models and build mapping documents.
- Build bus matrices, proof of concepts, source mapping documents, and raw source data models.
- Identify and report data quality issues.
- Support data modelers and information architects with required information and analysis.
Essential Skills/Experience
- Strong knowledge of and experience with Excel, databases (Snowflake, Postgres, Redshift, Oracle etc.)
- Solid experience on SQL and ability to write SQL queries to perform data profiling, data analysis and present the insights to the business.
- Good knowledge on Data warehousing and Data Modelling concepts.
- Exposure on overall Data management concepts.
- Strong Exposure to IT Project Lifecycle.
- Programming (Python, R) and ETL experience are value-adds.
- Life Science/Finance/SAP/SCM Domain knowledge and experience is an added advantage.
Desirable Skills/Experience
- Any Bachelors or Master’s Degree from a reputed institution.
- Preferable industry experience in IT or Pharma.
- 8-10 years of relevant experience.