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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data extractiondata preparationdata mart developmentpricing analysisdata modelingdata warehousingcloud data platform designDatabricksAzurescalable ingestion frameworks
Soft Skills
consultingleadershipproject planningdelivery excellencemarket researchtrainingprocess enhancementcommunicationteam collaborationrecommendation presentation
Tools & Technologies
filing toolsregulatory requirement exhibitsQC processesautomation solutionsdata architecture frameworksLakehouse architecturemedallion architecturerate monitoring toolsfiling activities supportdata transformation techniques
Certifications & Qualifications
Bachelor’s degreeMaster’s degree
Industry Keywords
pricing studiesfiling materialbase rate changesrate dislocationsfiling accuracyfiling qualitydata engineeringenterprise data architecturedata insightscompetitor research
Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Data extraction and preparation for pricing studies and analysis
- Provide Pricing guidance and consulting services to different data, infrastructure and IT team
- Help Data team in developing data mart and recommending data elements to be included for use case enablement – Pricing, Rating , Filing etc.
- Present actionable insights, recommendations and finding to Actuaries and Data team (leadership)
- Develop project plan , execute and help in delivery excellence
- Conduct market and competitor research esp. filing material
- Support filing activities including indications, base rate changes, rate monitoring, dislocations etc.
- Prepare filing exhibits or regulatory requirement exhibits
- Develop internal QC processes to ensure filing accuracy and quality
- Train and upskill team members in new rating and filing tools & techniques
- Identify process enhancements opportunities and propose automation-based solutions
Requirements
What you’ll need- 10-15 years of experience in data engineering, cloud data platform design, or enterprise data architecture, with at least 5+ years of strong hands-on experience on Databricks and Azure.
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline; master’s degree is preferred.
- Strong expertise in designing modern data architectures, including Lakehouse, medallion architecture, data modeling, data warehousing, and scalable ingestion and transformation frameworks.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
- Paid time off