Global Customer Insights Data Lead at M-KOPA Solar

About the role

The Customer Insights Data Lead will work closely with the Customer Insights Manager to uncover and share research insights and inform business decisions. This role combines technical skills, creativity, and business acumen to improve our understanding of M-KOPA customers and agents and produce analytic findings and recommendations. 

To achieve this, you will be expected to:

• Clean, interpret and analyze quantitative and qualitative data collected using excel
• Provide insights and answers to business questions via deep-dive and exploratory analyses
• Design and produce extremely user-friendly, clean, and impactful research reports and dashboards that clearly and compellingly summarize results, draw insights and make data-driven recommendations to business stakeholders
• Oversee a team of research associates to deliver high-quality results and develop professionally through coaching, mentoring, and shared learning
• Have extremely strong business acumen, communication, and self-management skills
• Are confident analyzing, interpreting, and storytelling with data
• Can manage team members to deliver high-quality research outputs and grow professionally
• Are a collaborator and have a low ego
• Love fast-moving environments with a sense of urgency to get the job done
• Enjoy digging through data, identifying trends, and communicating insights.
• Always try to improve as an analyst and colleague.

You Might Be A Good Fit If You:

• Are passionate about our mission of making everyday essentials accessible to everyone
• Are excited to be a champion for our customers in everything you do
• Love figuring out how to ask the right questions and structure analysis to achieve the desired insight
• Can quickly understand key value drivers in various departments of the business

Knowledge and Skills

• Bachelor’s degree in a quantitative field or demonstrated self-directed learning and experience
• Minimum of 2 years of professional experience in a role with a similar focus
• Strong quantitative skills including knowledge of and experience working with Excel
• Strong attention to detail and investigative nature to ensure error-free, high-quality, reproducible analysis
• Highly collaborative and communicative
• Experience answering business questions and communicating data-derived insights to non-technical audiences
• Experience managing or mentoring staff