Information Analyst
@ Kenya Wine Agencies Limited (KWAL)

This position is responsible for examining and making sense of sales and market data, creating reports, and offering insights based on the research or data analysis. The role holder will assist KWAL in comprehending its sales, distribution, as well as competitor and customer behaviours, enabling informed commercial decisions that benefit the business. This position will closely collaborate with the sales and brand marketing teams.

Main Responsibilities

Data and Insights

• Collect data from various internal and external sources to ensure a comprehensive data set for analysis.
• Process and clean the data to remove any inconsistencies or errors, ensuring high-quality data for analysis.
• Combine data from different sources and systems to create a unified view of the information.
• Use statistical and analytical methods to explore the data and identify patterns, trends, and relationships.
• Translate data analysis results into actionable insights that can inform business decisions.
• Create excel or BI based visualisations such as charts, graphs, and dashboards to represent data insights clearly and effectively.
• Develop and deliver reports that summarise insights for stakeholders.
• Present insights to stakeholders in a clear and concise manner, highlighting the implications for the business.

Reporting

• Design and create reports that meet the needs of various stakeholders, ensuring they are clear, concise, and informative.
• Gather and compile data from multiple sources to be used in reports.
• Implement automated reporting solutions to improve efficiency and reduce manual effort.
• Develop standardised report templates to ensure consistency in reporting.

Commercial Function Support

• Analyse sales data to identify trends, opportunities, and areas for improvement.
• Conduct market research to understand customer needs, market conditions, and competitive landscape.
• Support pricing strategies by providing analysis on pricing trends, compliance and elasticity.
• Generate insights into customer behaviour and preferences to inform commercial strategies.
• Analyse product performance to support product development and lifecycle management.
• Analyse the performance of different sales channels and provide recommendations for optimization.
• Work closely with sales, marketing, and product teams to provide data support and insights.
• Contribute to strategic planning by providing analytical support and insights.
• Identify and analyse potential risks to the commercial function and recommend mitigation strategies.

TPM and Continuous Improvement

• Support the TPM way of working.
• Support the implementation of the improvement activities.

Minimum Required Qualifications, Knowledge and Experience

Academic Qualifications

• Bachelor’s degree in a business-related field, Data Science or Maths and Statistics.

Professional Qualifications

• Project Management
• Business Intelligence (BI)
• Python Programming

Experience

• At least three (3) years’ experience in business analytics within FMCG or a Marketing Agency with focus on consumer products environment.

Competencies

Technical Competencies

• Proficiency in the use of data management tools such as Python to process data.
• Able to apply advanced statistics for data modelling with proficiency in handling big data.
• Understanding of finance building blocks with focus on cash cycle & P&L.
• Proficiency in use of data visualization (Tableau, Power BI etc.) and synthesizing informatics.
• Ability to analyse complex data extracting and translating insights into actionable decision points.

Behavioural Competencies

• Ability to manage and organize outputs in multiple data-synthesis projects and collaboration teams.
• Demonstrate strategic thinking and ability to align plans and activities to business strategic outlook.
• Effective at communicating and presenting complex ideas, influencing alignment and adoption.
• Customer oriented and entrepreneurial with the ability to unlock and demonstrate opportunity.
• Curiosity to learn and look for patterns and trends within existing and new information sources.