Lead Data Analyst




A person who scrutinizes information using data analysis tools. They bring technical expertise to ensure the quality and accuracy of the data, then process, design and present it in ways to help Kune make better decisions.

Shall be reporting directly to the Chief of Staff under the CEO’s office with a dotted line to the Head of Tech in the Operations Division.


Using data mining to extract information from data sets and identify correlations and patterns.
Managing data quality and removing corrupt data.
Identifying patterns and trends in data sets.
Working alongside teams within the business or the management team to establish business needs.
Defining new data collection and analysis processes.
Processing confidential data and information according to guidelines.
Organizing and transforming information into comprehensible structures.
Managing and designing the reporting environment including data sources, security and metadata.
Supporting the data warehouse in identifying and revising reporting requirements.
Supporting initiatives for data integrity and normalization.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Evaluating changes and updates to source production systems.
Training end users on new reports and dashboards.
Providing technical expertise in data storage structures, data mining and data cleansing.
Evaluation of business processes, anticipation of requirements, uncovering areas of improvement, and developing implementing solutions.
Leading ongoing reviews of business processes and developing optimization strategies.
Identifying and recommending new ways to save money by streamlining business processes.
Effectively communicating insights and plans across departments and divisions.
Any other duties assigned.


BSc in Mathematics / Economics / Computer Science / Information Management / Statistics.
Proven working experience of at least 5 years as a Data Analyst or Business Data Analyst (in a manufacturing set up would be an added advantage.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc).
Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing and presenting findings.
The ability to influence stakeholders and work closely with them to determine acceptable solutions.
Exceptional documentation skills.
Experience creating detailed reports and giving presentations.


A positive and can-do attitude.
Exceptional collaboration and listening ability.
Excellent communication skills (English and Kiswahili) both verbal and written.
Excellent eye for design and detail.


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About Kune Food

Kune is a foodtech start-up based in Nairobi. We produce ready-to-eat meals at an affordable price and distribute it to individuals, retails, and corporate.