Head, Data Analyst at Workforce Group

We are seeking to hire a Data Analyst for our client, a leading manufacturer of food and beverages in Nigeria. This individual will be responsible for conducting the conversion of data into insights that will lead to informed business decisions. The Data Analyst must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models. (S)he must have a proven ability to drive business results with their data-based insights and must be comfortable working with a wide range of stakeholders and functional teams to achieve strategic objectives. (S)he will support the operational and marketing teams with insights gained from analysing data.

Duties/Responsibilities:

• Provide ongoing reports for actionable decision making
• Identify, analyze, and interpret trends or patterns in complex data sets
• Analyze the impact/effectiveness of Promotional Activities
• Mine, analyze and interpret data using statistical techniques to drive resource optimization, product development, marketing techniques and business strategies.
• Acquire data from primary or secondary data sources, administer and maintain databases/data systems
• Utilize technical and programming skills to enhance and develop process automation
• Use predictive modelling to increase and optimize customer experiences, sales generation and other business objectives
• Identify, analyze, and interpret trends or patterns in complex data sets using various statistical techniques.
• Assess the effectiveness of promotions and promotional activities.
• Develop tools to monitor and analyse performance and data accuracy.
• Model performance for future launch plans and projects, and track performance vs target with recommendations on improvement
• Lead all brand consumer research work across all brands, working with agency to analyze results.
• Lead internal brand surveys, analyze and report on recommendations

Professional Qualification/Skills

• Strong problem-solving skills with an ability to multitask and work under pressure.
• Experience using analytical computer languages (R/Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Advanced Excel user
• Experience with report and process automation using MS SQL, VBA and other technologies
• Experience querying databases and using statistical techniques
• Knowledge and experience creating and using machine learning algorithms and statistics: regression, scenario analysis, modelling, clustering, decision trees, Sentiment Analysis (NLP) etc
• A drive to learn, master and recommend new technologies and techniques