JD:
- Combination of data and analytics – we need someone with good SQL, PBI and GCP
- Strong Analytics & logical skills & insurance experience is good to have
- 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 Analytics & Engineering team for a major Insurance client. He/ She will work with different stakeholders as SME for data analytics & engineering
- 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
- Engages in technical problem solving across multiple technologies; often needs to develop new solutions
- A typical work day will involve working with stakeholders in individual contributor.
- A suitable candidate should have 8-12 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 property and casualty insurance/actuarial projects preferred.
- Having good hands on experience on SQL, Power BI, Google Cloud Platform
- Having experience in developing ETL pipelines
Key Responsibilities & Skillsets:
Common Skillsets:
- 8-12 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 performing data extraction/data wrangling
- Data analysis and reporting using Power BI (DAX, data connection, etc.)
- Good knowledge of SQL, Power BI and GCP
- 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
- Data Management Skillsets:
- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred
- Should have strong grasp of advanced advanced SQL functionalities (joins, nested query, 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 the 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 fast pace continuously evolving environment and ready to take up uphill challenges
