Experience: 2+ years
Reports to: Head of Fleet Management
Key Responsibilities
Collect, clean, and analyze data from IoT-enabled vehicles, fleet management systems, and rider performance platforms.
Create dashboards and reports to provide actionable insights into operational efficiency, rider performance, and maintenance needs.
Monitor and track key metrics, such as delivery times, bike uptime, earnings, and customer satisfaction.
Identify trends and patterns in data to inform strategic decisions on scaling operations, improving fleet utilization, and optimizing rider training.
Collaborate with cross-functional teams, including fleet management, maintenance, and sales, to understand data needs and provide tailored insights.
Support predictive analysis to anticipate maintenance schedules, optimize fleet deployment, and reduce operational costs.
Ensure data integrity, consistency, and security by adhering to best practices in data management.
Present findings and recommendations to leadership through clear, visual, and concise reports.
Qualifications and Skills
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
2+ years of experience in a data analytics role, preferably in logistics, transportation, or e- mobility
Proficiency in data analysis tools such as SQL, Python, or R.
Experience with data visualization platforms such as Tableau, Power BI, or similar tools.
Strong understanding of database management and query optimization.
Familiarity with IoT systems and fleet management platforms is an added advantage.
Excellent problem-solving skills and a keen eye for detail.
Strong communication and presentation skills to effectively share insights with non-technical stakeholders.
Ability to work in a fast-paced environment and manage multiple priorities.
What We Offer
An opportunity to be part of a pioneering company driving innovation in electric mobility across Africa.
A collaborative and dynamic work environment that values initiative and growth.
Competitive compensation package, including benefits.
Opportunities for professional development and career advancement.
Interested candidates should send their CV and a cover letter detailing their experience and suitability for the role to hr@nani.co.ke. Indicate expected salary on the subject of the email. Applications will be reviewed on a rolling basis.
Apply via :
hr@nani.co.ke
