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