استخدام Data Analyst

We are seeking a business-oriented and problem-solving Data Analyst to ensure data accuracy, validate business KPIs, and deliver actionable insights to both internal teams and FMCG suppliers. A key part of this role involves direct interaction with customers, answering analytical and numerical questions, and translating data into clear, business-relevant insights. The role requires strong analytical thinking, hands-on experience with Python or R, and close collaboration with product and engineering teams.

Key Responsibilities
-Data Quality, KPI Validation & Problem Solving.
 -Perform regular data quality checks and identify inconsistencies or anomalies.
 -Validate core KPIs across dashboards (Sales, Volume, Market Share, Price Index, Distribution).
 -Investigate data issues, identify root causes, and propose practical solutions.
 0Work with technical teams to resolve data and logic-related problems.
 -Dashboard Ownership & Reporting.
 -Ensure dashboard accuracy, consistency, and data freshness.
 -Validate new KPIs, metrics, and features before release.
 -Support ongoing dashboard improvement based on business and customer feedback.
 -Business & Ad-hoc Analysis
 -Deliver short-term and ad-hoc analyses for sales, account managers, and management.
 -Analyze campaign performance, product sales behavior, and market trends.
 -Prepare clear analytical outputs (tables, charts, insights) for decision-making.
 -Customer (FMCG Supplier) Interaction.
 -Work closely with FMCG suppliers to support their analytical needs.
 -Answer customer questions related to sales performance, trends, anomalies, and KPIs.
 -Help customers correctly interpret data and address misunderstandings.
 -Support customer meetings with prepared datasets and analytical insights
 -Contribute to value creation and upsell opportunities through data-driven insights.
 -Cross-functional Collaboration & Documentation.
 -Collaborate with product and engineering teams on data logic validation, code review, and feature testing.
  

Required Qualifications:
-Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Business, or a related field.
 -Strong analytical and problem-solving skills.
 -Proven hands-on experience with Python or R for data analysis.
 -Experience working with dashboards, KPIs, and structured datasets.
 -Ability to communicate insights clearly and confidently in English.
 -Experience in FMCG, retail, or market intelligence environments.
 -Familiarity with data validation, KPI governance, and analytical best practices.
 -Experience working in customer-facing analytical roles.