Business Intelligence Analyst

Key Responsibilities

• Design, develop, and maintain impactful dashboards, reports, and analytics solutions using SQL, Tableau, and Python to support key business decisions.
• Collaborate closely with stakeholders to understand evolving business needs, translate them into data requirements, and deliver actionable insights.
• Ensure accuracy, timeliness, and confidentiality of all BI assets by implementing robust data validation and governance controls.
• Build and optimize data pipelines and reporting frameworks, integrating data from multiple sources including data warehouses and cloud platforms.
• Lead efforts to improve reporting efficiency and usability through automation, exception reporting, and user-friendly design.
• Educate and support business users on accessing and interpreting dashboards and reports, fostering data literacy across teams.
• Proactively identify opportunities to improve processes, reduce manual work, and enhance decision-making through data.
• Participate in the development of scalable BI infrastructure and contribute to data modeling and ETL design.
• Apply statistical learning, optimization techniques, and operations research methods to solve complex business problems.
• Support Agile project delivery using tools like JIRA, and contribute to sprint planning, backlog grooming, and cross-functional collaboration.

• Demonstrates strong conceptual and hands-on expertise in business intelligence, data visualization, and analytics.
• Proficient in SQL, Tableau, and Python; experience with Databricks, Spark, and cloud platforms (e.g., AWS, GCP) is a plus.
• Familiarity with Agile methodologies, JIRA, and project tracking tools.
• Experience or education in Logistics, Supply Chain, or Industrial Engineering is strongly preferred.
• Solid foundation in statistical modeling, optimization, and operations research.

• Understands business strategy and how data can drive outcomes; able to align reporting solutions with organizational goals.

• Takes ownership of deliverables; mentors junior analysts and leads small projects with measurable impact.

• Solves complex data challenges with creativity and rigor; comfortable working with ambiguity and evolving requirements.

• Delivers insights that influence customer experience, operational efficiency, and strategic planning across teams.

• Communicates clearly and confidently with technical and non-technical stakeholders; builds consensus and drives alignment.