Data Analyst
@ Treadsetters

Treadsetters, established in 1987, is the leading retreading organization in Sub-Saharan Africa with a monthly production capacity of 12,000 retread tyres. As the region’s sole provider of Treadsetters Tyre Optimization and Services (TTOPS), they serve clients across Nairobi, Thika, Kisumu, and Mombasa, catering to public transport, general transport, and the agricultural sector.

Job Purpose
The Data Analyst will transform raw data into actionable insights that enhance efficiency, reduce costs, and support strategic decision-making. The incumbent will analyze operational data, identify trends, and collaborate with cross-functional teams to optimize processes.

Key Responsibilities
Analyze production, quality control, and supply chain data to identify inefficiencies and improvement opportunities.
Develop real-time dashboards (Power BI/Tableau) to track KPIs such as output rates, defect trends, and resource utilization.
Conduct root-cause analysis for production bottlenecks, downtime, or waste.
Collaborate with engineering, operations, and finance teams to align data insights with business objectives.
Conduct predictive maintenance initiatives using historical equipment performance data.
Ensure data accuracy across ERP, MES, and manufacturing systems.
Prepare reports and presentations that communicate findings to stakeholders.

Education, Qualifications & Experience required
Bachelor’s degree in Computer Science, Economics, Statistics, or related field.
4+ years in data analysis, preferably in manufacturing, supply chain, or industrial settings.
Proficiency in SQL, Python/R, Advanced Excel (pivot tables, Power Query) and BI tools (Power BI, Tableau).
Experience with manufacturing data sources (ERP systems like SAP, Oracle).
Knowledge of statistical analysis and predictive modelling.

Key skills and competencies
Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders.
Strong problem-solving skills, with the ability to identify and mitigate risks associated with process improvement projects.
Ability to work collaboratively in a team-oriented environment.
Adaptable and open to learning new tools and methodologies.