Business Data Analyst (BDA) at Human Capital Synergies Africa Ltd

Our client, Kenya Tea Packers Ltd (KETEPA) has been the leading tea blending, packaging and distribution company in Kenya for 44 years with added capability to undertake custom branding and contract packaging. Due to their continued growth and success, they are seeking to recruit highly competent and outstanding individual to fill the Business Data Analyst position.

Job Purpose

Identify and study key business data, statistics both internal and external from respective departments and help the Head of Sales& Distribution understand the impact of the current Sales, Marketing and Distribution strategies

Reports to: Head of Sales and Distribution

Duties and Responsibilities

1. Analyse sales data both internal and external and reporting the same to the Head of Sales & Distribution to identify trends and performance.
2. Monitor and share daily report on Iscala, BI, SFA,Fleet Management system, Route plans and validate the itineraries, claims as per the approved route plans
3. Provide demand sciences work within the regions, ensuring it is in alignment with company initiative.
4. Provide forecasts to the Head of Sales & Distribution and other relevant departments.
5. Collect test platform forecast and budget from relevant departments/managers for analysis
6. Actively participate and support the transition of demand planning into sales culture.
7. Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks.
8. Apply statistical and visualization techniques to derive insights, solve business problems, generate new hypotheses about the underlying mechanics of business processes, and test these hypotheses using quantitative methods.
9. Understand existing and new data sources in KETEPA.
10. Identify trends and opportunities for growth through analysis of complex data sets.
11. Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets.
12. Create best-practice reports based on data mining, analysis, and visualization.
13. Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data.
14. Work directly with management and users to gather requirements, provide status updates, and build relationships.
15. Work closely with Head of Sales and Heads of Department to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
16. Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
17. Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources

Key Result Areas:

The accountability areas are as follows;

1. Timely and accurate reports to Head of Sales &Distribution.
2. Identification and capitalization of key improvement areas
3. Efficient cost-effective use of company resources.
4. Effective support to the Head of Sales & Distribution on demand sciences.
5. Timely sales forecast
6. Effective demand forecasting.
7. Any other duty as may be required

Skills and Qualifications:

The job holder must possess;

1. Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics
2. Academic and/or professional qualifications in Sales & Marketing will be an added advantage
3. Three (3) years’ experience as a market data analyst or similar statistical analytics role
4. More than basic computer knowledge
5. Proven analytic skills, including mining, evaluation, analysis, and visualization
6. Technical writing experience in relevant areas, including queries, reports, and presentations
7. Strong SQL or Excel skills with the ability to learn other analytic tools.
8. Practical experience in statistical analysis through the use of statistical packages including Excel, SPSS, and SAS
9. Prior Experience with Business Intelligence Tools (Qlik, Power Bi, Tableau)
10. Proven success in a collaborative, team-oriented environment
11. Proven experience with sales force automation software will be a plus.
12. Proven experience in creating dashboards with the data source being any ERP system
13. Proven experience with Python or R programming languages desired but not a must.
14. Ability to work well under pressure, working accurately with attention to detail and meeting deadlines