Data Analyst

Job Purpose

Key Responsibilities

• 1.
• Data Intelligence Center – Setup & Operations
• Support the build-out of the Centralized Data Intelligence Center under the Finance function.
• Develop and maintain a standardized reporting framework across Sales, Categories, and Management, ensuring consistent data definitions, sources, and formats.
• Implement structured reporting systems that eliminate the need for daily manual data preparation by the sales team.
• Ensure all reports and dashboards are accessible, accurate, and updated on a regular cadence.

2. Business Performance Reporting

• Prepare, update, and maintain daily, weekly, monthly, and ad-hoc reports as required by Finance and management.
• Track key business performance indicators, including but not limited to sales, margin, collections, customer activity, category performance, regional/unit performance, SKU performance, inventory-related indicators, and other required measures.
• Provide visibility across different reporting dimensions such as region, unit, salesperson, customer, category, brand, SKU, and other business dimensions as needed.
• Compare actual results against targets, forecasts, and historical data based on agreed reporting formats.
• Highlight variances, unusual movements, missing data, or exceptions.

3. Dashboards and Management Reporting

• Develop, update, and maintain dashboards and management reports that support business and financial performance tracking.
• Prepare data packs, summaries, charts, and tables for weekly, monthly, quarterly, and ad-hoc business reviews.
• Maintain standardized report formats, formulas, templates, and reporting timelines.

4 Commercial And Financial Data Support

• Prepare reports covering commercial and financial areas such as sales trends, margin performance, collections, customer movement, product performance, profitability indicators, and other areas assigned by Finance.
• Provide accurate data and supporting schedules to Finance and relevant stakeholders for review and follow-up.
• Support recurring and ad-hoc analysis requests by consolidating data from multiple sources into clear, organized reports.

5. Data Quality & Governance

• Validate data sources and report outputs before submission.
• Ensure consistency and accuracy of all data inputs, flagging discrepancies.
• Work with system users and ERP teams to maintain data integrity across reporting sources.
• Maintain documentation of data definitions, report structures, and update schedules.

Education And Experience

• Bachelor’s degree in Data Science, Business Analytics, Finance, Economics, or a related field.
• 5-7 years of experience in data analytics, financial reporting, or business intelligence.
• Strong proficiency in Excel (pivot tables, advanced formulas, Power Query).
• Experience with data visualization tools (Power BI, Tableau, or equivalent) is an advantage.
• Experience using ERP systems (D365, SAP, Oracle, or equivalent).
• Strong analytical capability with the ability to translate data into clear, actionable insights.
• Ability to manage multiple reporting streams and meet recurring deadlines with high accuracy.