Job
Description
BI Solutioning Data Engineering Design, build, and manage end-to-end Business Intelligence solutions, integrating structured and unstructured data from internal and external sources. Architect and maintain scalable data pipelines using cloud-native services (e.g., AWS, Azure, GCP). Implement ETL/ELT processes to ensure data quality, transformation, and availability for analytics and reporting. Market Intelligence Analytics Enablement Support the Market Intelligence team by building dashboards, visualizations, and data models that reflect competitive, market, and customer insights. Work with research analysts to convert qualitative insights into measurable datasets. Drive the automation of insight delivery, enabling real-time or near real-time updates. Visualization Reporting Design interactive dashboards and executive-level visual reports using tools such as Power BI, or Tableau. Maintain data storytelling standards to deliver clear, compelling narratives aligned with strategic objectives. Stakeholder Collaboration Act as a key liaison between business users, strategy teams, research analysts, and IT/cloud engineering. Translate analytical and research needs into scalable, sustainable BI solutions. Educate internal stakeholders on the capabilities of BI platforms and insights delivery pipelines Preferred: Cloud Infrastructure Data Integration Collaborate with cloud engineering teams to deploy BI tools and data lakes in a cloud environment. Ensure data warehousing architecture is aligned with market research and analytics needs. Optimize data models and storage for scalability, performance, and security. Total Experience Expected: 06-09 years Must Bachelor s/Master s degree in Computer Science, Data Science, Business Analytics, or a related technical field. 6+ years of experience in Business Intelligence, Data Engineering, or Cloud Data Ana
