Senior Business/Data Analyst (Insurance Domain)
Job Title: Senior Business/Data Analyst (Insurance Domain)
Location: New York (Remote)
Duration: Long Term Contract
Job Description:
Role Overview
The Senior BA/DA will act as a bridge between technical teams and business stakeholders, focusing on analyzing complex datasets, identifying trends, and creating actionable insights within 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 complex data discrepancies, analyze root causes, and prioritize issues for resolution.
• Data Engineering/SQL: Write advanced SQL queries to extract and manipulate large-scale data from, preferably, Snowflake, PostgreSQL, or SQL Server environments.
• Python & Scripting: Utilize Python for data analysis, data manipulation, and automating routine data tasks.
• Reporting & Visualization: Develop, maintain, and manage interactive dashboards and reports using the Microsoft Power Platform (Power BI, Power Apps, Power Automate).
• Domain Expertise: Apply insurance industry knowledge (e.g., claims processing, policy management, underwriting 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: Demonstrated experience in the Insurance or Financial Services sector.
• SQL: Advanced proficiency (complex 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., Snowflake, AWS/Azure cloud platforms).
Apply Now
Apply Now
Location: New York (Remote)
Duration: Long Term Contract
Job Description:
Role Overview
The Senior BA/DA will act as a bridge between technical teams and business stakeholders, focusing on analyzing complex datasets, identifying trends, and creating actionable insights within 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 complex data discrepancies, analyze root causes, and prioritize issues for resolution.
• Data Engineering/SQL: Write advanced SQL queries to extract and manipulate large-scale data from, preferably, Snowflake, PostgreSQL, or SQL Server environments.
• Python & Scripting: Utilize Python for data analysis, data manipulation, and automating routine data tasks.
• Reporting & Visualization: Develop, maintain, and manage interactive dashboards and reports using the Microsoft Power Platform (Power BI, Power Apps, Power Automate).
• Domain Expertise: Apply insurance industry knowledge (e.g., claims processing, policy management, underwriting 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: Demonstrated experience in the Insurance or Financial Services sector.
• SQL: Advanced proficiency (complex 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., Snowflake, AWS/Azure cloud platforms).
Apply Now
Apply Now