Role Overview
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 Engineering team for a major Insurance client. He/She will work with different stakeholders as SME for data engineering.
Responsibilities include:
- Acquire data from primary or secondary sources, implement data collection systems and maintain databases.
- Identify, develop and implement reporting and analytic tools.
- Develop dashboards for visual representation of performance using visual reporting tools.
- Engage in technical problem solving across multiple technologies; often needs to develop new solutions.
A typical workday will involve working with stakeholders in an individual contributor capacity.
A suitable candidate should have 4-7 years of experience in a similar role and should possess a go-getter attitude. He/She should be able to deal with ambiguity.
Key Responsibilities & Skillsets
Experience in property and casualty insurance/actuarial projects preferred.
Common Skillsets
- 4+ years of experience in analytics ETL and associated data engineering jobs.
- Experience with Google Cloud Platform services.
- Excellent communication & presentation skills.
- Experience in managing SQL codes and collaborating with customers on model evolution.
- Good knowledge of SQL, Big Query and GCP; data modeling experience is a plus.
- Should be able to work independently on problems and prepare client-ready deliverables with minimal or no supervision.
- Good communication skills for client interaction.
Data Management Skillsets
- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred.
- Strong grasp of advanced SQL functionalities (joins, nested queries, and procedures).
- 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 top-tier academic institutions are also welcome to apply.
Strong and in-depth understanding of DE Fundamentals.
Data analysis experience.
Superior analytical and problem-solving skills.
Outstanding written and verbal communication skills.
Able to work in a fast-paced, continuously evolving environment and ready to take up uphill challenges.
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