Commodities
Research Analyst Intern
Nairobi, Kenya
About us
Our proprietary technology removes the technical and logistical barriers that exist when trading commodities in Africa. We provide the tools and the visibility to trade commodities into, out of, and with Africa with confidence.
About the role
We are excited to offer a Research Analyst Internship at Kulea, where you'll have the opportunity to work closely with our data scientists. This role is designed to help you sharpen your data analysis skills, master various research methodologies, and gain valuable insights into industry trends and forecasts. Throughout the internship, which lasts between three to six months, you will be immersed in hands-on projects and benefit from interdepartmental collaborations. You'll have the chance to connect with a diverse network of professionals, enhancing both your skills and industry understanding. At Kulea, we are dedicated to growing and retaining talent from within. Our internship program is not only a platform for gaining practical experience but also a pathway for identifying and developing future leaders. We are committed to offering promising interns the potential for permanent positions with us, as we believe in fostering long-term careers and nurturing talent from within our ranks. Join us at Kulea to start your journey in research analysis and take the first step towards a fulfilling career.
Job Description
- Data Collection & Preparation: Collect data from relevant sources, clean it, and prepare it for analysis.
- Data Analysis: Apply suitable statistical techniques to analyse data and generate valuable insights.
- Data Modelling: Identify suitable methods to model specific datasets to unmask trends and make predictions.
- Problem Framing: Translate business requirements and objectives into concise data science problems, aligning data solutions with organizational goals.
- Effective Communication: Ensure effective communication regardless of seniority, to achieve project objectives.
- Collaboration: Work closely with the team to ensure the successful accomplishment of company objectives and goals.
Required Skills
- Strong Data Expertise: Demonstrated proficiency in data collection and analysis techniques, enabling you to extract valuable insights.
- Expertise in statistical analysis, computing, machine learning, and deep learning.
- Experience working with large datasets and the ability to process them efficiently.
- Strong data wrangling skills.
- Data Visualization: Exceptional data visualization skills using tools such as MS Excel, PowerBI, or other statistical software to communicate insights effectively.
- Statistical Languages: Proficiency in using statistical languages, such as R, Matlab, SAS Enterprise Miner, and Python for data analysis and modelling.
- University degree in data engineering, statistics, actuarial science, economics, mathematics, and related fields.
- Candidates with a Diploma or Higher National Diploma with vast experience in a similar role will be considered.
To apply please send an up-to-date CV and a brief cover letter outlining your skills, relevant experience and why you think you would be a good fit for the role using the link below.
Apply
