Manager - Analytics - AWS/Cloud - Insurance

The person will be part of the Data Analytics team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering/data science work.

A typical work day will involve working with stakeholders in individual contributor role and upscaling the quality of team's deliverables.

The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion.

A suitable candidate should have 8-10 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with aggressively changing environment.

- Experience in cloud, AWS, good to have ML\Sagemaker experience.

- Experience in insurance preferred but not mandatory.

Key Responsibilities & Skill sets :

Common Skill sets :

- 8-10+ years of experience in Data Engineering and Analytics, machine learning, advanced statistical techniques, AI.

- 2-3+ years of experience in cloud based technology preferable AWS with knowledge on services like EC2, S3, Sagemaker, Redshift, EMR etc.

- Excellent communication & presentation skills

- Prior experience on cloud migration project preferable AWS would be added advantage.

- Experience in managing Python codes and collaborating with customer on model evolution.

- Excellent in project management, team management and conflict management skills

- Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).

- 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

Data Management Skill sets :

- Ability to Design and Develop an optimized DWH\Data Lake solution with proper Data Governance including Data Lineage, Data Quality etc.

- Ability to create and understand data models and identify ETL optimization opportunities.

- Exposure to ETL tools like Talend\SSIS\Informatica PC is preferred.

- Exposed to big data technology to lift and shift large datasets (Hadoop/Spark, Hive, Redshift, Python etc.)

- Should have strong grasp of advanced SQL functionalities (joins, complex query, and procedures etc.).

- Strong ability to translate functional specifications / requirements to technical requirements.

Candidate Profile :

- 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.

- Data analysis experience.

- Superior analytical and problem solving skills.

- Outstanding written and verbal communication skills.

- Able to work in fast pace continuously evolving environment and ready to take up challenges.

- Able to understand cross cultural differences and can work with clients across the globe.