About the role

Lead business analysis for insurance data platforms by defining business rules, financial logic, and data requirements for enterprise reporting. Design conceptual and logical data models while supporting the migration to Databricks and Power BI platforms.

What they look for

Business Analysis Insurance Domain Data Modeling Data Profiling APIs Databricks Power BI SQL Data Warehousing Analytics Dimensional Modeling ETL/ELT Lakehouse Architecture Stakeholder Management dbt Agile

Requirements

Requires over 8 years of experience as a Technical Business Analyst with deep expertise in the insurance industry and data profiling. Proficiency in SQL, data warehousing, and modern cloud analytics platforms like Databricks is essential.

Full description

Job Title: Lead Technical Business Analyst

Key Skills: Business Analysis, Insurance Domain, Data Modeling, Data Profiling, APIs, Databricks, Power BI, SQL, Data Warehousing, Analytics

Experience: 8+ years of experience.

Location: Costa Rica, Peru, Colombia, Bolivia.

Mode: Remote.

We at Coforge are hiring Lead Technical Business Analyst (#22149) with the following skill set.

Key Responsibilities

· Lead business analysis activities for insurance data platforms, defining business rules, financial logic, and data requirements for enterprise reporting and analytics.

· Perform hands-on data profiling, source analysis, and data quality assessments, partnering with Data Engineering teams to improve ingestion and transformation processes.

· Design and validate conceptual and logical data models that support reporting, reconciliation, historical analysis, API enablement, and self-service analytics.

· Collaborate with business, BI, and platform teams to define semantic layers, KPIs, and data products while supporting the migration from legacy reporting solutions to modern Databricks and Power BI platforms.

Required Skills & Qualifications

· 8+ years of experience as a Technical Business Analyst working with enterprise data platforms.

· Strong experience within the insurance industry, including policy, claims, underwriting, customer, billing, or payments data.

· Hands-on experience performing data profiling, source analysis, reconciliation, and data quality assessments.

· Strong understanding of data modeling, dimensional modeling, and Data Warehousing concepts.

· Experience defining business rules, KPIs, semantic layers, and analytics requirements.

· Experience working with SQL and collaborating closely with Data Engineering teams on ETL/ELT and transformation logic.

· Familiarity with Databricks, Lakehouse architectures, and modern cloud-based analytics platforms.

· Experience supporting API-driven data services and designing data for low-latency consumption.

· Experience working with Power BI or similar Business Intelligence platforms.

· Excellent communication, stakeholder management, and documentation skills.

Preferred Skills:

· Experience with dbt and modern data transformation frameworks.

· Familiarity with cloud data platforms such as Snowflake or Azure.

· Experience supporting enterprise data migration and modernization initiatives.

· Knowledge of Agile delivery methodologies.

· Experience enabling self-service analytics and enterprise reporting solutions.

Posted On: 07-07-2026

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.