Analyst, Actuarial Data Engineer
Tasks
- Apply modern Data Science techniques
- Automate reporting processes
- Build proof-of-concept solutions
- Centralize and standardize data
- Design solutions for reporting and analytics
- Develop automated solutions for streamlined processes
- Develop data and analytics solutions
- Document changes
- Follow change management procedures
- Improve Data Warehousing
- Improve financial reporting
- Improve reserve analytics
- Increase process transparency
- Lead design and implementation of technology solutions
- Maintain production documentation
- Partner with stakeholders on data and analytics needs
- Transition manual deliverables to automated reports
- Translate business requests into technical requirements
- Upskill team members
Perks/Benefits
- 401k
- Employee assistance program
- Free financial counseling
- Health coaching
- Hybrid work schedule
- Leadership development
- PTO
- Parental leave
- Relocation assistance not available
- Tuition assistance
- Virtual training opportunities
- Workplace productivity training
Skills/Tech-stack
AWS | Apache Spark | Automation | Change Management | Data Governance | Data Standardization | Data Warehousing | Dataiku | Financial Reporting | Hive | Proof of Concept | Python | R | Reserve Analytics | SAS | SQL | Tableau | VBA
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Actuarial Data Engineer | Analyst | Data Analyst | Data Engineer | Engineer
Regions
Countries
States
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