AWSMicrosoft Power BISQLDAXETLSCD (Slowly Changing Dimensions)
Full Job Posting
Responsibilities
Design and implement scalable analytical solutions using the AWS redshift , S3 bucket
Build and optimize transformation workflows, ingestion pipelines, and enterprise reporting structures
Develop and maintain advanced SQL scripts, views, stored procedures, and reusable analytical components
Drive enterprise-wide analytics initiatives through robust modeling and warehouse best practices along with data preparation, analytics data organization, data schema testing, and enterprise data product management.
Build and support scalable ETL workflows, ingestion pipelines, and transformation processes
Perform analytical data manipulation by writing complex SQL scripts, creating views, and optimizing queries to support reporting and business analytics needs.
Exposure with data products development, support with SCD (Slowly Changing Dimensions) ,CDC (Change Data Capture) ,Dimensional and relational modeling techniques , Enterprise warehouse frameworks
Perform detailed data quality checks, reconciliation, validation, and assessment activities
Deliver high-performing analytical solutions with strong focus on scalability, reliability, and optimization
Design and maintain analytical data models to enable scalable reporting, efficient data consumption, and business insight generation.
Develop, design, and enhance interactive dashboards and reports using Microsoft Power BI by translating client requirements into innovative BI solutions.
Participate in architecture discussions and recommend best practices for analytics modernization initiatives
Collaborate with clients, business users, and technical teams to gather analytics requirements and deliver strategic insights for decision-making.
Ensure adherence to best practices in data governance, analytical data organization, reporting standards, and cross-functional project delivery.
Qualifications
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5-9 years of experience with Azure/ AWS, Microsoft Power BI, SQL, analytical data modeling, data visualization, enterprise data products, and analytics engineering frameworks.
Proven experience as an Analytics Engineer with strong hands-on expertise in end-to-end modern data wareshouse build for analytical data preparation, data manipulation, schema validation/testing, and working with data products.
Strong proficiency in SQL scripting including writing complex queries, creating views, data transformation logic, performance optimization and Large-scale ingestion and transformation processes
Solid understanding of analytical data models, data modeling concepts, data organization frameworks, and enterprise analytics architecture.
Strong troubleshooting, tuning, and performance optimization capabilities
Expertise in Microsoft Power BI including dashboard development, DAX, data modeling, and advanced visualization techniques.
Good to have experience in Insurance Analytics, Financial Analytics, or strategic analytics and insights delivery for enterprise clients.
Excellent communication and stakeholder management skills with the ability to work effectively across cross-functional business and technical teams.
Exposure to modern cloud analytics ecosystems and enterprise transformation initiatives
Experience working in Agile delivery environments
Domain Expertise : Good to have
Prior experience in the Insurance domain
Good understanding of Finance processes within Insurance
Familiarity with insurance reporting, premium, claims, policy, and financial data structures is an added advantage
About EXL Service
IT Services & Consulting65000 employeesFounded 1999
Global data analytics, AI, and digital operations solutions company.