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Data and Operations Intern at SunCulture Kenya Ltd

Expired
Job Overview
Employment FullTime
Location Nairobi Kenya
Experience
Education Level Bachelor's Degree
View More in Internships
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Opportunities Meet Aspirations

Data and Operations Intern

About Role

Reporting to the Director of Innovation, the Data and Operations Intern will be responsible for creating reports, analyzing data, and providing near real-time insights to evaluate trial performance and identify areas for improvement. This is a fixed term role for 6 months.

Key Responsibilities

  • Data Analysis: Analyze operational and trial data to identify trends, patterns, and insights.
  • Reporting: Create and maintain regular reports on trial performance, sales, customer conversion, and other key metrics.
  • Real-Time Insights: Provide near real-time analysis and insights to support decision-making and adjustments to ongoing trials. Example include but are not limited to:
    • Sales Outlet Analysis: Identify potential new sales outlets and analyze the number of additional customers that could be reached.
    • Customer Conversion Analysis: Analyze customer data to identify which types of customers convert and which do not, providing insights into why.
  • Data Updates: Ensure data accuracy and update databases as needed.
  • Problem Solving: Identify and address data discrepancies and operational issues.
  • Documentation: Maintain clear and accurate documentation of data analysis and reporting processes.

Qualifications:

  • A Bachelor’s Degree in a Data or Data Science related field.
  • Proven track record of translating data into actionable insights.
  • Self-starter with an internal drive to find meaningful information from data.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R).
  • Excellent communication and reporting skills.

Does this sound like you?

  • A Bachelor’s Degree in a Data or Data Science related field.
  • Proven track record of translating data into actionable insights.
  • Self-starter with an internal drive to find meaningful information from data.
  • Strong analytical and problem-solving skills


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