Junior Sales Intelligence Analyst (X2) at The Heineken Company

PURPOSE OF POSITION

• We are seeking a highly analytical and commercially minded Junior Sales Intelligence Analyst to support the development of actionable insights that drive sales performance, improve customer engagement, and optimise commercial strategy.
• The role is responsible for transforming large and complex datasets into clear insights, visualisations, and recommendations that enable sales, marketing, and commercial teams to make data-driven decisions.
• Working closely with cross-functional teams across the organisation, the Junior Sales Intelligence Analyst plays a key role in developing dashboards, maintaining data models, and enabling stakeholders to leverage self-service analytics tools. Insights generated through this role contribute directly to strategic, commercial, and operational plans that support portfolio growth and market competitiveness.
• The analyst will integrate multiple data sources, identify trends and opportunities, and help build future-focused analytical capabilities including predictive analytics, automation, and digital reporting solutions.

KEY RESULT AREAS 

Data Analysis & Insight Generation

• Analyse large and complex datasets to identify trends, patterns, and opportunities that inform commercial strategies.
• Translate analytical findings into clear insights and actionable recommendations for business stakeholders.
• Conduct deep analysis on sales, customer, and market data to identify growth opportunities and performance gaps.

Sales Performance Reporting

• Develop and maintain sales dashboards, scorecards, and performance reports.
• Monitor key commercial metrics including volume, revenue, distribution, and market share.
• Ensure reporting accuracy and alignment with global audit and governance standards.

Dashboard Development & Data Visualisation

• Maintain and enhance existing dashboards and develop new reporting solutions using Power BI and other analytics tools.
• Drive new ways of reporting that improve data accessibility and decision-making across the organisation.
• Ensure dashboards are intuitive and support self-service analytics for business users.

Commercial Intelligence

• Gather and analyse market intelligence, including competitor activity, category performance, and consumer behaviour.
• Provide customer and channel insights that support sales planning and account strategies.

Target Setting & Incentive Support

• Support monthly and quarterly sales target setting using historical performance trends and production forecasts.
• Maintain accurate reporting to support sales incentive calculations and governance processes.

Stakeholder Collaboration

• Partner with Sales, Marketing, Finance, and Digital teams to support data-driven decision making.
• Present analytical insights and recommendations to senior stakeholders and leadership teams.
• Support training initiatives to enable stakeholders to use dashboards effectively.

Data Integration & Digital Enablement

• Identify opportunities to integrate and consolidate internal and third-party data sources.
• Ensure data quality, governance, and alignment with organisational data principles.
• Act as a data translator between business requirements and digital capabilities.

Continuous Improvement & Innovation

• Identify opportunities to automate reporting processes and improve analytical efficiency.
• Explore new technologies and analytical approaches including predictive analytics and AI-supported insights.
• Contribute to improving organisational data maturity and analytical capability.

EUCATIONAL QUALIFICATIONS

• Bachelor’s or Honours Degree in a relevant analytical discipline such as:
• Business or Financial Economics;Business Informatics; Data Science; Mathematics or Statistics; Computer Science; Data Management or related fields.

PROFESSIONAL EXPERIENCE 

• A minimum of 5 years’ experience in FMCG, analytics, or digital environments.
• Proven experience in data analysis and reporting roles, translating business requirements into actionable insights.
• Strong experience building and maintaining dashboards in Microsoft Power BI, including DAX and Power Query development.
• Advanced Excel capability, including Power Pivot, complex formulas, and large dataset management in Microsoft Excel.
• Strong data modelling expertise, including star schema and dimensional modelling techniques.
• Experience automating reporting processes and improving analytical workflows to increase efficiency and data reliability.
• Familiarity with data querying and programming tools such as SQL, Python, and enterprise platforms like SAP.
• Understanding of cloud data platforms such as Microsoft Azure and Snowflake.
• Experience working in Agile environments is advantageous.

PERSONAL ATTRIBUTES

• Strong analytical and problem-solving skills.
• Ability to connect data insights to business and commercial outcomes.
• Structured and detail-oriented approach to data analysis.
• Ability to work independently and proactively.
• Strong communication and presentation skills.
• Ability to translate complex data into clear and actionable insights.
• Agile mindset with the ability to adapt to changing business environments.