JOB BRIEF

Our client is the fastest growing Agtech company in Africa and works to reinvent how the world thinks and invests in the lives of small-scale farmers is seeking to recruit Head of Business Intelligence and Data Scientist

The Head of Business Intelligence and Data Scientist should have over 7 years’ experience in Leadership and Business Intelligence lead role who will be responsible for maintaining, supporting, and upgrading reports, dashboards, cubes, and data warehouses.

KEY RESPONSIBILITIES

Strategy

• Develop and deliver a high-quality data strategy for our client to support strategic decisions, drive organizational performance and inform continuous improvement.
• Own and lead company-wide Business Intelligence function in the research, planning, the validation, and implementation of data analytics projects
• Build analytics capabilities to grow the organizations knowledge.
• Develop an approach to BI which enables the use of effective and appropriate external information and data sources to inform internal decision making at the Group to ensure they maintain a market leading position.

Departmental/Stakeholder Collaboration

• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Analyse industry information and data to discover trends and patterns to inform business decision making.
• Work with CEO and other departmental heads to develop and embed operational and strategic KPIs across the Group, developing dashboards for group corporate and operational requirements.
• Collaborate with the organization to analyse metrics, access the effectiveness of key programmes and initiatives and to locate new process improvement opportunities.
• Collaborate with business development and operations on conducting competitor and new market analysis, leading on the data analysis aspects of this activity.
• Lead on engagement with the Engineering department to ensure the technology behind the BI tools is fit for purpose and secured.
• Work with the various units within the organization to develop algorithms to identify opportunities for leveraging company data to develop commercial products, improve existing sales/marketing strategies and techniques.

Team Management

• Lead the BI team and implement all strategic decisions and developments.
• Direct the work of all analysts and specialist developers within the BI function.
• Ensure effective engagement with the organization in a joint effort to continuously monitor performance and quality control plans to identify improvements.
• Manage BI team members, including assisting with recruitment, conducting regular one to one review, motivating, driving performance, addressing any underperformance, and supporting where required.
• Ensure the BI team adhere to the Data Governance Policy and internal and external compliance standards and regulations.
• Effectively and efficiently manage a team of engineers, analysts, and scientists.

Operational

• Ensure the production of reports, dashboards, and insight production.
• Develop company testing framework and test model quality.
• Leading the full lifecycle activities to include requirements analysis and design, to develop analysis and reporting capabilities.
• Engage with operations to produce and distribute performance forecasting information across our operational delivery.
• Developing smarter methodologies to better forecast initiatives and future performance.
• Map data needs to operational questions, working closely with management to prioritize business and information needs.

REQUIRED QUALIFICATIONS

• MSc in Mathematics, Economics, Computer Science, Information Management or Statistics or its equivalent
• 7 plus years of experience in a BI lead role
• Project Management Qualifications (e.g., Agile, Scrum)
• Highly analytical with interest and expertise for analysis and statistics
• Highly analytical with interest and expertise for analysis and statistics
• Critical thinking and problem-solving skills are key to this role as business units will be strategies and plans based on your data analysis and insights.
• Experience in using statistical computer languages to query databases (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Strong team management skills
• Ability to meet strict deadlines with no supervision.
• Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Strong B2B, B2C / B2BC domain knowledge.
• Strong experience in e-Commerce, banking, and agricultural operations.
• Excellent written and verbal communication skills for coordinating across teams.
• Remote sensing/insights from map