Data Sciences Assistant Manager

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