The Role
Lead advanced analytics and statistical evaluations to inform strategic decisions. Build experiments (A/B testing), predictive models, KPIs and dashboards (Tableau/Looker/Power BI), partner with engineering on data pipelines, and present actionable insights to technical and non-technical stakeholders to drive growth and operational improvements.
Summary Generated by Built In
Job Location: Nairobi, Kenya
About the Role:
The role holder should have expertise in strategic evaluation, business storytelling, and advanced analytics to play a pivotal role in transforming data into actionable business insights. The successful candidate will deeply understand business bottlenecks, leverage data evaluation techniques, and effectively communicate complex evaluation to both technical and non-technical stakeholders. This role requires a strong ability to bridge the gap between business strategy, and technology.
About the Role:
The role holder should have expertise in strategic evaluation, business storytelling, and advanced analytics to play a pivotal role in transforming data into actionable business insights. The successful candidate will deeply understand business bottlenecks, leverage data evaluation techniques, and effectively communicate complex evaluation to both technical and non-technical stakeholders. This role requires a strong ability to bridge the gap between business strategy, and technology.
What you will be expected to do:
- Develop and execute advanced analytics solutions and statistical evaluation, to solve complex business problems
- Apply A/B testing, regression evaluation, hypothesis testing, and other statistical methodologies to validate business strategies and enhance strategic choice.
- Work with senior managers to identify strategic opportunities and guide data-guided choices.
- Design and develop impactful dashboards and reports using tools like Tableau, Looker, or Power BI, enabling stakeholders to make informed choices.
- Serve as a trusted advisor by applying a deep comprehension of business operations to recommend strategies that drive growth, operational improvements, and team work.
- Drive the development and monitoring of key performance indicators (KPIs) and dashboards, ensuring alignment with business goals.
- Leverage a strong comprehension of business processes to provide recommendations on optimizing operations and improving outcomes.
- Partner with engineering teams to design and optimize data pipelines and workflows.
You might be a strong candidate if you:
- Hold a bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, Statistics, Mathematics, Economics, or another related quantitative discipline.
- Possess 4+ years of experience in Business Intelligence, Data Analytics, Strategic Evaluation, or a similar role, with a proven track record of using data to drive business performance, operational improvements, and strategic initiatives.
- Demonstrate advanced proficiency in SQL and Python, with demonstrated experience querying large datasets, building analytical models, automating analyses, and solving complex, ambiguous business problems.
- Have strong analytical and statistical expertise, including hypothesis generation and testing, root cause analysis, experimentation (A/B testing), trend analysis, cohort analysis, performance diagnostics, and applying statistical techniques to solve complex business problems.
- Demonstrate knowledge of machine learning concepts and predictive evaluation, with the ability to apply appropriate techniques to solve business bottlenecks and uncover strategic opportunities.
- Have expertise in data visualization and business intelligence tools such as Tableau, Power BI, or Looker, with the ability to develop impactful dashboards and translate complex data into clear, actionable insights.
- Demonstrate strong business acumen, with experience identifying cross-functional business bottlenecks, framing business questions, evaluating strategic opportunities, and influencing product, operational, or strategic initiatives through data-guided recommendations.
- Have excellent communication and stakeholder management skills, including the ability to present evaluation findings, tell compelling data stories, and communicate technical insights effectively to both technical and non-technical audiences while recommending practical, actionable solutions.
What Sun King Offers (in addition to compensation and statutory benefits):
- Professional growth in a dynamic, rapidly expanding, high-social-impact industry
- An open-minded, collaborative culture with enthusiastic colleagues driven by the challenge of innovation and making a profound impact on people and the planet.
- A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
- Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.
About
Sun King is the world’s leading off-grid solar energy company, combining cutting-edge product design, fintech, and field operations to deliver energy access for the 1.8 billion people who live without an affordable and reliable electric-grid connection.Sun King has built a new kind of energy utility: distributed, green, customer-centric, and affordable. We bring clean, reliable, decentralized energy directly into people’s lives — from solar kits that provide first-time energy access to multi-kilowatt systems that serve both off-grid users and grid-connected customers powering larger homes, schools, hospitals, farms, offices, and light manufacturing.Already, 25 million homes and businesses rely on Sun King for electricity supply and the appliances and services it enables: lighting, televisions, fans, refrigeration, and smartphones. Sun King combines energy generation, energy-efficient appliances, installation, and financing into one seamless offering. Think of it as a distributed utility, designed for wherever energy is needed and designed to scale with its users as incomes and energy needs grow.Sun King makes solar products affordable to low-income households and businesses via ‘pay-as-you-go’ (PAYG) purchase financing. Sun King installs solar after customers pay a small deposit. Customers then make small, manageable payments of as little as US $0.14 a day via mobile money or cash.Instead of paying for expensive, polluting, and health-damaging kerosene for lighting or diesel for power, customers unlock savings through accessing solar power and after one to two years of payments, customers own their solar equipment outright.Sun King collects payments digitally through mobile money systems and its 35,000 field agents — over 1 million payments each day. To date, Sun King has extended more than $1.4 billion in PAYG loans to customers.Sun King began by powering homes and businesses with solar systems delivered through PAYG financing. Now, we’re using the same model to make smartphones and clean cooking equipment affordable: helping households connect to the digital economy and transition from wood-based fuels to modern, sustainable alternatives.Sun King employs 3,500 full-time staff in 14 countries, with specialties spanning product design, data science, logistics, customer service, sales, software, operations, and more — all with a passion to serve off-grid families. Sun King is committed to gender diversity in the workplace. Women represent 42% of Sun King’s workforce.
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, Statistics, Mathematics, Economics, or related quantitative discipline.
- 4+ years of experience in Business Intelligence, Data Analytics, Strategic Evaluation, or similar roles.
- Advanced proficiency in SQL for querying large datasets.
- Advanced proficiency in Python for building analytical models and automating analyses.
- Experience designing and developing dashboards and reports using Tableau, Looker, or Power BI.
- Strong analytical and statistical expertise including A/B testing, regression, hypothesis testing, cohort and trend analysis, and root cause analysis.
- Knowledge of machine learning concepts and predictive modeling techniques.
- Excellent communication and stakeholder management skills, including data storytelling and presenting to non-technical audiences.
- Experience partnering with engineering teams to design and optimize data pipelines and workflows.
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The Company
What We Do
Sun King designs, distributes, installs, and finances solar energy solutions for consumers who lack reliable access to traditional electrical grids.









