Key Responsibilities

Data Collection and Preparation

• Gather data from various internal and external sources.
• Clean, validate, consolidate, and transform data to ensure accuracy and consistency.
• Design and periodically maintain data systems and databases.

Data Analysis and Interpretation

• Perform exploratory data analysis to uncover trends, patterns, and anomalies.
• Apply statistical methods and tools for in-depth analysis.
• Identify and define key performance indicators (KPIs) and metrics.
• Develop and implement data models and algorithms to support business goals.

Communication and Reporting

• Create reports and presentations to communicate findings clearly.
• Design and build dashboards, charts, and graphs for data visualization (primarily using Power BI).
• Collaborate with cross-functional teams to understand and address business requirements.

Problem Solving and Decision Making

• Identify areas of improvement and propose data-driven solutions.
• Support decision-making processes by providing actionable insights and recommendations.
• Monitor and assess the impact of implemented data-driven initiatives.

Additional Duties

• Establish and maintain a Purchasing KPI Dashboard.
• Develop and manage a Digital Visual Management System for Technical Purchasing.
• Flexibility to handle other duties as assigned over time.

Authority

• The Data Analyst plays a vital role in translating raw data into actionable insights, directly influencing business strategies and decisions.

Qualifications and Experience

Essential Skills

• Strong analytical and critical thinking abilities.
• Solid understanding of statistical techniques.
• Proficiency in T-SQL and DAX scripting.
• Strong ETL/ELT experience with data extraction and transformation from multiple sources.
• Experience in data modeling for analysis and reporting.
• Effective communication skills for both technical and non-technical audiences.
• Proven problem-solving skills and solution-oriented thinking.

Tools & Platforms

• Minimum of 3 years of experience with Power BI (report/dashboard development).
• Working knowledge of ETL processes and data visualization best practices.

Domain Knowledge

• Understanding of procurement or purchasing functions.
• Familiarity with shipping or logistics operations is a strong advantage.

Working Relationships

• Internal collaboration with: Information Technology, Procurement, Technical Purchasing, Catering Teams, Category Managers, and Business Unit Heads.

Educational Background

• Degree in Computer Science, Engineering, Mathematics, Economics, or Statistics (BSCS, B.E., BSc/MSc preferred).

Work Experience

• At least 5 years of experience in data analysis, ideally in a procurement or shipping/logistics environment.