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Data Analyst


  • Organization: Living Goods
  • Location: Kenya
  • Grade: Junior level - Junior
  • Occupational Groups:
    • Statistics
    • Information Technology and Computer Science
  • Closing Date: Closed

Role: Data Analyst
Reporting into: Global Senior Manager Data Science and Analytics
Location: Nairobi – Kenya.

About Us
Our Strategy for delivering high-quality, cost-effective community health through and with digitally empowered, equipped, supplied, supervised, and compensated Community Health Workers (CHWs) requires that we continuously re-invent the way we work. Innovating incessantly and with swift responsiveness to global trends is a critical success factor for building a thriving and sustainable LG of today and tomorrow.
Over the last four years, Living Goods has become a more complex organization with multiple implementation modes, exciting opportunities in new countries, and new partnerships in existing countries. Furthermore, while we have delivered some strong work in technology over the last couple of years, we now need to go the extra mile beyond technology and ensure a much greater emphasis on government partnerships in the broader digital health space. We can only do this by building a great place to work where our teams thrive, grow, and deliver extraordinary results.

The Data Analyst is a key driver of organizational performance and strategic impact, leading the development and application of data analytics to optimize the effectiveness of CHW programs globally. This role involves developing machine learning algorithms, collaborating with digital health teams and data engineers to build robust data workflows and automation, and providing strategic insights to enhance program outcomes.

Key Responsibilities:

  • Data Analysis Workflow and Automation: Lead the design and implementation of advanced data analysis workflows, collaborating closely with digital health teams and data engineers. Focus on creating automated systems that streamline data processing and enhance reporting capabilities.
  • Machine Learning Development: Develop and implement machine learning algorithms that predict, analyze, and improve CHW performance metrics and health outcomes. Drive the adoption of these models across the organization to enhance decision-making and strategic planning.
  • Quality Control and Data Review: Conduct thorough assessments of quality control data to gauge organizational performance. Produce detailed, regular reports that highlight achievements and identify areas for improvement.
  • Strategic Support and Experimentation: Partner with the Global Senior Manager, Data Science and Analytics to refine data strategies and support the deployment of operational experiments. Offer insights that drive performance enhancements and support innovative projects focused on community health.
  • Data Visualization and Insights: Utilize advanced statistical tools and data visualization techniques to uncover trends, patterns, and insights. Apply these insights to inform program design, implementation, and evaluation, facilitating evidence-based decision-making.
  • Support Data-Driven Innovations: In consultation with Innovations team lead data analysis for innovations and experiments in community health, providing analytical support to pilot projects and new initiatives aimed at improving health outcomes.

Required Qualifications:
Master’s degree in computer science, Information Technology, Statistics or any other technology related degree.

Professional Qualifications / Membership in Professional Bodies:

    • Proficiency certification in SQL and statistical programming languages. - Essential certifications in statistical programming, specifically in R or Python. - Advanced proficiency in Microsoft Excel.

Database Proficiency:
o Expertise in various database management systems including SQL, MySQL, PostgreSQL, and NoSQL databases.
General IT Skills:
o Strong foundational skills in information technology, capable of supporting complex data systems and infrastructures.


  • Minimum of 4 years of professional work experience in the role of a data analyst, including administrative responsibilities, within a medium to large organization that has multiple offices. This experience is crucial for understanding the complexities and dynamics of managing data across diverse geographical locations.
  • At least 5 years of professional experience in managing a team within a data function that supports an organization with offices in various locations. This experience is essential for ensuring effective leadership and the ability to foster a collaborative and productive team environment.

Competencies & Attributes:

  • Program Reporting and Operational Support: Demonstrated hands-on experience in leading and implementing comprehensive program reporting and operational support frameworks. Capable of managing and optimizing systems that facilitate efficient data handling and reporting processes.
  • Quality Control Analysis: Expert in conducting rigorous quality control analysis. Able to meticulously assess data and workflows to ensure accuracy and consistency across all reporting standards and practices.
  • Self-Drive: Highly motivated and able to initiate and complete projects autonomously. Exhibits a strong work ethic and the ability to push projects forward even in challenging circumstances.
  • Teamwork and Collaboration: Exceptional ability to work collaboratively across teams and disciplines. Brings a spirit of cooperation and a can-do attitude to cross-functional team efforts, ensuring that all team members are engaged and contributing to their full potential.

Living Goods is an equal-opportunity employer and will consider every qualified applicant for employment. Living Goods does not discriminate based on race, ethnicity, national origin, ancestry, religion, gender, sexual orientation, or disability.

Our current job openings are displayed on our website, where you can search for open positions and apply directly. Living Goods does not offer any positions without an interview and never asks candidates for money. If you are asked for money, we strongly recommend that you do not respond and do not send money or personal information.

This vacancy is now closed.
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