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

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