Head, Data Analyst at Workforce Group

Workforce Management Centre Limited is a Management Consulting and Outsourcing Professional Services Firm. Following its inception in July 2004, Workforce Management Centre Limited (Workforce) has built an enviable reputation as the leading indigenous management and professional services consulting firm in Nigeria. Drawing from its Deep Domain Expertise, in the area of organisational effectiveness and employee performance, the Company is positioned to assist businesses across diverse sectors of the economy in their quest to create sustainable value for their stakeholders. At Workforce, we are committed to helping our clients perform at the highest levels and achieve their desired success. We pride ourselves in our ability to consistently adopt structured, rigorous and well thought through diagnostics process focused at understanding the peculiar needs of our clients and then design, develop and deploy customised innovative solutions and interventions to meet those needs. Our service offerings are targeted at both private and public sector organisations in Nigeria, the West African Sub-region, and other organisations across the world seeking value adding solutions to the issues and challenges militating against employee performance and organisational effectiveness. Currently, our client portfolio comprises of 75% of financial institutions in Nigeria, Top 10 FMCG companies in Nigeria Top 5 Telecommunication Service providers in Nigeria. Leading Oil & Gas Companies Leading Advertising & Marketing Communications Companies Leading Real Estate Firms Leading Services and Trading Companies

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

Method of Application