What you will do

• Build the infrastructure for data collection, analysis, and distribution within Labs.


• Work with Program Managers to determine business intelligence requirements for each R&D Program


• Understand what data is needed to make key decisions for each program.


• Understand what different sources of data there are for each program and help guide collection methods and formatting to optimise data analyses and business intelligence.


• Work with Labs software and hardware prototyping teams to integrate with data analysis infrastructure and ensure the correct data is being collected in the best format.


• Analyse current data being collected and provide detailed guidance for improving how data is collected


• Design, build and update ETL pipelines to ensure efficient design.


• Ensure consistency, accuracy, and overall integrity of business metrics.


• Build models to identify trends, forecast performance, and identify improvements to company strategy, products, and operations.


• Design and run data analyses to guide decision-making and strategy.


• Design and prepare dashboards and other key stakeholder reporting.


• Enable the success of KOKO Team Members by supporting them in accessing, understanding, and utilising data


• Develop and maintain business intelligence documentation, training materials, best practices, and overall data toolkit

What you will bring to KOKO

• Bachelor’s degree, ideally in Computer Science, Math, Statistics, or Economics.


• Experience in data analysis, consulting, finance, or other quantitatively rigorous role (ideally 2+ years).


• The ability to balance priorities, clarify stakeholder requirements, pay keen attention to detail, and generally keep deliverables on schedule


• Proficiency with data visualization tools such as Domo, Tableau, Power BI, Metabase, Looker or any other.


• Experience in SQL, Excel and statistical methods. R and Python an added plus).


• Analytics Engineering and ETL building experience.


• Ability to communicate technical details clearly and concisely to management & external stakeholders.


• A curious mind and a passion for problem-solving, data, and analytics.


• Comfort in a fast-paced, growth-stage start-up environment

How to Apply

CLICK HERE TO APPLY.