Data Analyst

Job Title:
Data Analyst

Tax Term:
W2/1099

Location:
Basking Ridge, New Jersey (5 Days Onsite)

Employment Type:
Contract

Duration:
12+

About us

ConglomerateIT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at

Our mission is to establish global cross culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global network to connect business with the right people without bias. We provide Global Workforce Solutions with affability.

Job Summary:

We are seeking a highly experienced Data Analyst to support enterprise-level analytics initiatives. The ideal candidate will have deep hands-on experience in SQL and Python, a solid understanding of insurance data models, and the ability to build analytical datasets that drive business insights and decision-making.

Key Responsibilities:

• Analyze large-scale insurance datasets to deliver actionable business insights
• Design, develop, and optimize complex SQL queries for high-volume data processing
• Build and maintain analytical datasets and BI-ready data layers
• Perform data manipulation, analysis, and automation using Python
• Support insurance business processes across policy lifecycle, claims, rating, and regulatory reporting
• Collaborate with business stakeholders and cross-functional teams
• Ensure data accuracy, consistency, and performance optimization
• Support reporting and visualization initiatives using BI tools
• Document data logic, processes, and analytical workflows
• Communicate insights clearly to technical and non-technical audiences.

Required Skills:

• 10+ years of total experience in Data Analytics
• Strong expertise in SQL including complex joins, window functions, CTEs, performance tuning, and large-volume data handling
• Advanced hands-on experience in Python for data manipulation, analysis, and automation using pandas, NumPy, and SQLAlchemy
• Strong understanding of insurance data structures and processes including policy lifecycle, endorsements, rating, claims lifecycle, reserves, commissions, reinsurance, and regulatory reporting
• Experience building analytical datasets and BI layers
• Hands-on experience with visualization tools such as Power BI or Tableau
• Excellent communication and stakeholder management skills.

Preferred Certifications:

• Data Analytics–related certifications (nice to have)

Technologies:

• SQL, Python, Insurance Data Models, Power BI, Tableau, Data Analytics, BI Reporting