Senior Technical Business Analyst (Data)
- Role
- Data Engineering
- Experience
- Lead
Open to CR, PE, CO, BO only. Set where you work from to check your eligibility.
No BS summary
Senior Technical Business Analyst with 8+ years in data-centric business analysis. Must have insurance/finance data experience, data profiling/modelling, Databricks or similar, Power BI, warehouse/lakehouse architecture, and advanced English. Remote role limited to Costa Rica, Peru, Colombia, or Bolivia.
Core skills
Required skills
Optional skills
Required languages
Job Title: Senior Technical Business Analyst (Data) Key Skills: Business Analysis, Insurance Data, Data Profiling, Data Modelling, Databricks, SQL, dbt, Power BI, Data Warehousing, Lakehouse Architecture Experience: +8 years of experience. Location: Costa Rica, Peru, Colombia, Bolivia Work Mode: Remote. At Coforge, we are hiring Senior Technical Business Analyst (Data) (#22756) with the following skill set. Key Responsibilities • Act as the bridge between business stakeholders, Data Engineering, BI, and platform teams to define and shape data products and analytics solutions. • Perform hands-on data profiling and source analysis across data feeds, datasets, and enterprise data warehouse structures, identifying data quality issues, reconciliation gaps, and semantic differences. • Lead conceptual and logical data modelling for the billing and payments domain, including fact and dimension tables, ensuring scalability, historical analysis, reconciliation, and auditability. • Define requirements for semantic layers and self-service analytics, supporting the migration of legacy SQL-based reports to Power BI dashboards built on Databricks. Required Skills & Qualifications • 8+ years of experience in Business Analysis, with a strong focus on data-centric delivery. • Significant experience working with Finance or Insurance systems. • Strong hands-on experience with data profiling, data analysis, and source-to-target mapping. • Experience with fact and dimensional data modelling. • Strong understanding of data warehouse and lakehouse architectures. • Experience with Databricks or equivalent big-data platforms. • Experience with semantic models, BI layers, and Power BI-based analytics. • Strong understanding of insurance data, including policy, claims, underwriting, billing, premiums, and collections. • Experience with payment platform migrations and analytics modernization initiatives. • Advanced English proficiency (B2+/C1). Preferred Skills • Experience operating at Lead Business Analyst or domain-owner level. • Experience with dbt and Gold-layer transformation logic. • Experience defining data products and API-driven data services. • Experience with data standardization initiatives and enterprise reporting migrations. • Strong stakeholder management and workshop facilitation skills. Posted On: 12-08-2026 At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
What you'll do
- Act as the bridge between business stakeholders, Data Engineering, BI, and platform teams to define and shape data products and analytics solutions.
- Perform hands-on data profiling and source analysis across data feeds, datasets, and enterprise data warehouse structures, identifying data quality issues, reconciliation gaps, and semantic differences.
- Lead conceptual and logical data modelling for the billing and payments domain, including fact and dimension tables, ensuring scalability, historical analysis, reconciliation, and auditability.
- Define requirements for semantic layers and self-service analytics, supporting the migration of legacy SQL-based reports to Power BI dashboards built on Databricks.
What they require
- 8+ years of experience in Business Analysis, with a strong focus on data-centric delivery.
- Significant experience working with Finance or Insurance systems.
- Strong hands-on experience with data profiling, data analysis, and source-to-target mapping.
- Experience with fact and dimensional data modelling.
- Strong understanding of data warehouse and lakehouse architectures.
- Experience with Databricks or equivalent big-data platforms.
- Experience with semantic models, BI layers, and Power BI-based analytics.
- Strong understanding of insurance data, including policy, claims, underwriting, billing, premiums, and collections.
- Experience with payment platform migrations and analytics modernization initiatives.
- Advanced English proficiency (B2+/C1).
- Preferred: Experience operating at Lead Business Analyst or domain-owner level.
- Preferred: Experience defining data products and API-driven data services.
- Preferred: Experience with data standardization initiatives and enterprise reporting migrations.
- Preferred: Strong stakeholder management and workshop facilitation skills.
At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.