Our Client, a leader in the Nigeria's Food and Drinks sector seeks to hire a Business Analytics Lead
Purpose of Job

Generate problem solving insight from both Internal and external data sets to deliver operational efficiency.
Support Business Heads, Trade Marketing and Marketing Teams with insightful data to driving effectiveness of their Teams and Market Commercial Operation

Dimensions

Annual Sales Volume
Annual Sales Revenue
Market Share

Nature & Scope of Position

Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
Design and build technical processes to address business issues.
Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales and marketing teams.
Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
Develop and implement quality controls and departmental standards to ensure quality standards and organizational expectations.
Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
Organize and drive successful completion of data insight initiatives through deep analysis and effective collaboration with stakeholders.
Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Work Experience and Qualifications

Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
Experience working with and creating databases and dashboards using all relevant data to inform decisions.
Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
Strong problem solving, quantitative and analytical abilities.
Strong ability to plan and manage numerous processes, people and projects simultaneously.
Excellent communication and collaboration
At least 5 years of experience in a position monitoring, managing, manipulating and drawing insights from data. The right candidate will also be proficient and experienced with the following tools/programs:
Experience with data visualization tools: Power BI or Tableau, Raw, chart.js, etc.
Experience with Adobe Analytics and other analytics tools
Advanced Skill with Excel, Word, and PowerPoint.