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
