2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Claims Data Analyst (Insurance)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Claims Data Analyst (SQL/Power BI): Transforming complex insurance claims data into dashboards, reports, statistical analyses, and actionable recommendations with an accent on SQL, Power BI, Microsoft Fabric, and claims performance analytics. Focus on identifying leakage, payment anomalies, fraud indicators, and operational inefficiencies while building reliable reporting and forecasting solutions with Claims Operations, IT, and leadership.
Location: Fully remote in the United States; location listed as Rancho Cucamonga, California
Company
is an established insurance organization focused on innovation, professional development, and data-driven business improvement.
What you will do
- Develop and maintain complex SQL queries and stored procedures for reporting, analysis, and operational decisions.
- Design and enhance Power BI dashboards and reports using Microsoft Fabric and DirectLake.
- Build operational reporting for casualty, SIU, claims performance, workforce productivity, and scorecards.
- Perform trend analysis, forecasting, exploratory analytics, and statistical analysis of claims data.
- Identify claims leakage, payment anomalies, fraud indicators, reserve activity, and operational inefficiencies.
- Partner with Claims Operations, IT, Data Engineering, leadership, and other stakeholders to translate business questions into reliable insights and recommendations.
Requirements
- 3β5+ years of experience in data analysis, business intelligence, or analytics.
- Strong SQL and T-SQL skills, including complex queries and stored procedures.
- Advanced Power BI experience, including dashboard development, reporting, and DAX.
- Ability to work independently with large and complex datasets and communicate findings to technical and non-technical audiences.
- Strong analytical, problem-solving, communication, prioritization, and organization skills.
- Experience collaborating with business stakeholders and technical teams.
Nice to have
- Bachelorβs degree in statistics, data science, computer science, actuarial science, mathematics, business analytics, or a related quantitative field.
- Experience in insurance, financial services, claims operations, personal auto insurance, or claims data.
- Experience with Azure Data Factory, Lakehouse environments, actuarial concepts, and AI-assisted analytics tools.
Culture & Benefits
- Professional office environment or approved remote/hybrid setting.
- Collaborative culture emphasizing innovation, continuous learning, and career growth.
- Regular interaction with Claims Operations, IT, leadership, and key stakeholders.
- Occasional travel may be required.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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