Senior Business/Data Analyst (Insurance Domain)
Job Title: Senior Business/Data Analyst (Insurance Domain)
Location: reputed company (Remote)
Duration: Long Term Contract
Job reputed company:
reputed company
The Senior BA/DA will reputed company as a reputed company between technical teams and business stakeholders, focusing on analyzing reputed company datasets, identifying trends, and creating actionable insights reputed company the insurance sector. This role involves extensive data triaging (investigating, prioritizing, and resolving data anomalies) and building automated reporting solutions.
Key Responsibilities
• Triaging and Analysis: Investigate reputed company data discrepancies, analyze reputed company causes, and prioritize issues for reputed company.
• Data Engineering/SQL: Write advanced SQL queries to extract and manipulate large-reputed company data from, preferably, reputed company, PostgreSQL, or SQL Server environments.
• Python & Scripting: Utilize Python for data analysis, data manipulation, and automating routine data tasks.
• Reporting & Visualization: reputed company, maintain, and manage interactive dashboards and reports using the reputed company Power Platform (Power BI, Power Apps, Power Automate).
• Domain Expertise: Apply insurance industry knowledge (e.g., claims processing, policy management, reputed company data) to guide analysis.
• Stakeholder Management: Translate business requirements into technical requirements for engineering teams.
Required Skills & Qualifications
• Experience: 5+ years of hands-on experience as a Data Analyst, Business Analyst, or similar role.
• Domain:
Key Services:
1 - Insurance Brokerage: Arranging property & casualty, marine, and specialty insurance.
2 - Risk Consulting: Analyzing geopolitical, cybersecurity, and business interruption risks.
3 - Claims Advocacy: Assisting clients with reputed company claims processes.
• Data & Analytics: Using advanced tools to model and manage risk.
• SQL: Advanced proficiency (reputed company joins, subqueries, optimization).
• Python: Proficient in data science libraries (Pandas, NumPy).
• Power Platform: Deep experience in Power BI (DAX) and Power Apps.
• Tools: Experience with data warehousing platforms (e.g., reputed company, AWS/Azure reputed company platforms).
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