Business Intelligence Analyst

HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology & Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7B In the VCE PML team, we make the right Data Available for Analytics Value and drive the growth of Analytics Capabilities. In PML Team, you will support the complete lifecycle of enterprise data: Source Systems → Data Integration → Unified Data Platform → Data Marts, Universes & Semantic Models → BI & Analytics → AI & Data Products. You will: design and maintain data integration pipelines that connect enterprise source systems to the Unified Data Platform (Data Lake) create and maintain structured analytical datasets, including data marts, universes and semantic models, that enable business users to easily access trusted and well-defined data be a partner with business teams to deliver high-value reporting and analytics solutions, including: Interactive dashboards in Microsoft Power BI, Enterprise reports using SAP BusinessObjects, Domain data products and analytical datasets, Operational and strategic reporting solutions supports the development and deployment of advanced analytics and AI solutions that leverage enterprise data. These include: Predictive analytics models, Machine learning solutions, AI-powered decision support tools, Intelligent data products Key responsibilities • Collaborate with business stakeholders to understand requirements and translate them into data engineering solutions. • Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and processing using Azure services, Databricks, IICS, and Azure Synapse. • Develop advanced transformation logic in Databricks and IICS to support complex business use cases. • Knowledge of modern Data Modeling and Design concepts • Set up and manage DevOps environments, including configurations, CI/CD pipelines, releases, deployments, and hotfix management. • Write clean, efficient, and maintainable code in SQL, Python, PySpark, and scripting languages. • Actively contribute in an Agile environment, ensuring transparency, collaboration, and continuous improvement. Required skills • Several years of experience in Data Engineering. • Strong hands-on experience with Databricks, Azure Services (Azure Data Factory, Azure SQL Database, Azure Key Vault), IICS, and Azure Synapse. • Advanced programming skills in Python, PySpark, and SQL. • Experience designing and implementing CI/CD pipelines and managing Azure DevOps environments. • Knowledge of API integrations and enterprise data architecture, theoretical AI knowledge • Experience working in Agile/Scrum teams. • Strong analytical and Why Us? • We are investing in your growth, offering learning and career development opportunities at every level to help you find your spark; • We offer a virtual-first work environment, promoting a good work-life balance and real flexibility; • Our company is extremely diverse with representation of 165 nationalities; • We offer the opportunity to work with colleagues across the globe; • We offer comprehensive benefits for all employees; • We are a certified great place to work and a top employer in 25 countries, offering a positive work environment that values employee recognition and respect. Please note that we will contact only those candidates who are selected for further consideration.