Job Description

The Sales Analyst, is responsible for collecting, analyzing, and interpreting complex sales data to provide actionable insights that drive business growth and optimize sales performance. This role works closely with the sales, marketing, and leadership teams to identify trends, forecast future performance, and support strategic decision-making through data-driven recommendations.

The ideal candidate will possess strong analytical skills a keen eye for detail, and the ability to translate complex data into clear, understandable, and impactful narratives

Key Responsibilities

• Data Collection & Preparation:

  • Source, extract, and consolidate sales data from various internal systems (e.g., DMS) and external sources.
  • Clean, validate, and transform raw data to ensure accuracy, consistency, and readiness for analysis.
  • Develop and maintain robust data pipelines and processes for efficient data acquisition.

• Data Analysis & Insights:

  • Conduct in-depth statistical analysis of sales performance metrics, including sales trends, pipeline health, conversion rates, customer behavior, and market share.
  • Identify key drivers of sales performance, opportunities for improvement, and potential risks.
  • Perform root cause analysis for variances in sales results against targets or forecasts.
  • Develop and apply predictive models for sales forecasting, lead scoring, or customer segmentation as needed.

• Reporting & Visualization:

  • Design, develop, and maintain interactive dashboards and reports using business intelligence tools (e.g., Power BI) to visualize sales data and key performance indicators (KPIs).
  • Prepare regular and ad-hoc reports and presentations for sales leadership, highlighting key findings, insights, and strategic recommendations.
  • Ensure reports are accurate, timely, and effectively communicate complex data to non-technical stakeholders.

• Process Improvement:

  • Continuously seek to improve data quality, reporting processes, and analytical methodologies.
  • Stay informed about industry best practices in data analytics and sales operations.

Qualifications

• Bachelor or mastered degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related discipline, Data Science, BI tool is a plus.
• 3-5+ years of experience in a data analysis role, specifically within sales analysis, business intelligence, or a related analytical function.
• Proven experience working with large datasets and complex business problems of with understating sales process, metrics and key performance both Modern Trade and Traditional Trade, FMCG
• Technical Proficiency in Power BI, SQL, Excel (Pivot Table, Power Query, Tableau is a plus)
• Familiarity with data warehousing and cloud data platforms (e.g., Azure, GCP) is a plus.
• Good written and verbal communication in Thai and English skills.
• Strong critical thinking and analytical capabilities to interpret complex data, identify trends, and draw actionable conclusions.
• Excellent problem-solving skills with a meticulous attention to detail and accuracy.
• Ability to structure and perform analyses, synthesize information, and develop recommendations with strong presentation skills.
• Ability to build strong relationships with diverse teams
• Self-motivated, proactive, ability to work independently and collaboratively within a team environment.
• Strong organizational skills with the ability to manage multiple projects and deadlines.

Working Conditions

• Primarily an office-based role with standard business hours.
• May occasionally require flexibility in work hours to meet project deadlines or support sales teams.

Business Unit Summary

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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