Manager-Data Management and Analytics-Data Ops/Data Analyst
2 weeks ago
We are looking for a go getter person who can define:
- Analytic strategies to meet the demands of business requirements
- Technical requirements of the analytic solutions
- Data requirements of the analytic solution processes
- The person will be part of the Data Analytics team for a major Insurance Broker/Agency organization. He/ She will work with different stakeholders as SME for data engineering
- Engages in technical problem solving across multiple technologies; often needs to develop new solutions
- A typical workday will involve working with stakeholders in individual contributor to define required data elements, prepare ETL/data pipeline or workflow, support with data modeling activities, enable data validation, data views, enable accessibility etc.
- Help support with new data int
- A suitable candidate should have 5-8 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity.
- Experience in insurance preferred but not mandatory.
- Ability to understand data models and identify ETL optimization opportunities. Experience with API based data integrations to further integrate new data sources
- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).
- Strong ability to translate functional specifications / requirements to technical requirements
- Strong experience around data warehousing, ETL/data pipelines, CI/CD concepts or optimizations of code/pipelines etc.
- Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
- 5+ years of experience in analytics, Azure Databrikcs, Pyspark, SQL, Oracle, ETL, Python and associated data engineering jobs.
- Preferred – Experience with Azure platform and tools.
- Excellent communication & presentation skills
- Experience in managing Python codes and collaborating with customer on model evolution
- Good knowledge of database management practices and knowledge of data engineering patterns or architecture (including Medallion architecture)
- Superior analytical and problem solving skills
- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
- Good communication skill for client interaction
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