PE
PepsiCoSales Analytics
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Before you apply
LocationIndonesia Jakarta New-IDN
Work moderemote
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentData & Analytics
Company size10,000+ people
First seenOct 30, 2026 · 6d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Business Analytics, Statistics, Economics, Computer Science, Mathematics, Information Systems, or a related field
Minimum 3 years of experience in Sales Analytics, Commercial Analytics, Business Intelligence, or Data Analytics
Strong SQL skills
Advanced proficiency in Microsoft Excel
Hands-on experience with Power BI, Tableau, or similar data visualization and reporting tools
Experience analyzing sales, customer, distribution, pricing, and promotional performance data
Strong analytical and problem-solving skills
Ability to translate data into actionable business insights
Excellent communication, presentation, and stakeholder management skills
Strong attention to detail and ability to manage multiple priorities in a fast-paced business environment
Familiarity with Nielsen, Circana (IRI), POS data, distributor data, or CRM data
Knowledge of Python, R, Azure, Databricks, or cloud-based analytics platforms
Understanding of revenue management, trade promotion analytics, and sales forecasting
Skills
Power BI
Tableau
SQL
Microsoft Excel
Python
R
Azure
Databricks
Overview
The Sales Analytics Specialist is responsible for transforming sales, customer, distribution, and market data into actionable insights to drive business growth and improve commercial performance. This role partners closely with Sales, Marketing, Category Management, Revenue Management, and Supply Chain teams to monitor business performance, identify growth opportunities, and support strategic decision-making through data-driven analysis, reporting, and visualization.
Responsibilities
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Analyze sales performance across channels, customers, regions, and product categories to identify trends, growth opportunities, and business risks.
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Monitor key commercial KPIs, including net revenue, sales volume, distribution, market share, pricing, promotional performance, and customer profitability.
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Develop and maintain dashboards, executive scorecards, and recurring performance reports using Power BI, Tableau, or similar visualization tools.
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Automate reporting processes and ensure data accuracy, consistency, and timely delivery of business insights.
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Analyze point-of-sale (POS), shipment, retailer, distributor, and syndicated market data to evaluate customer performance, pricing, assortment, distribution, and promotional effectiveness.
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Assess trade promotions and marketing initiatives to measure effectiveness and return on investment (ROI).
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Translate complex data into actionable insights and recommendations to improve sales effectiveness, commercial performance, and revenue growth.
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Partner with Sales, Category Management, Revenue Management, Marketing, and Supply Chain teams to support business reviews, annual planning, forecasting, and commercial strategy development.
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Extract, transform, validate, and reconcile data from multiple sources using SQL and other analytical tools.
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Continuously improve reporting processes, maintain KPI definitions and business rules, and support data-driven decision-making across the organization.
Qualifications
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Bachelor’s degree in Business Analytics, Statistics, Economics, Computer Science, Mathematics, Information Systems, or a related field.
•
Minimum 3 years of experience in Sales Analytics, Commercial Analytics, Business Intelligence, or Data Analytics, preferably within FMCG, consumer goods, retail, or food and beverage industries.
•
Strong SQL skills and advanced proficiency in Microsoft Excel.
•
Hands-on experience with Power BI, Tableau, or similar data visualization and reporting tools.
•
Experience analyzing sales, customer, distribution, pricing, and promotional performance data.
•
Familiarity with Nielsen, Circana (IRI), POS data, distributor data, or CRM data is an advantage.
•
Strong analytical and problem-solving skills, with the ability to translate data into actionable business insights.
•
Excellent communication, presentation, and stakeholder management skills.
•
Strong attention to detail and the ability to manage multiple priorities in a fast-paced business environment.
•
Knowledge of Python, R, Azure, Databricks, or cloud-based analytics platforms is an advantage.
•
Understanding of revenue management, trade promotion analytics, and sales forecasting is preferred.