Job Title / Designation: Trainee – Data Analytics Developer
Number of Vacancies: 1
Functional Area: Data Analytics / Business Intelligence
Industry: IT
Location of Job: Nairobi, Kenya
Salary Offered: Internship allowance (support for trainee period expenses)
Industry: IT Software & Services
Qualification: Certificate in Data Science–related courses or equivalent self-taught/online training in Data Analytics.
Contact Person: HR Manager: careerkenya@sybyl.com
Role Overview.
We are offering a dynamic opportunity in our Graduate Trainee program for budding Data Analysts. This role is designed for individuals with a passion for data and analytics, whether they come from a traditional educational background or have built their skills through certifications and self-directed learning.
As a Trainee – Data Analytics Developer, you will gain hands-on experience in data collection, analysis, interpretation, and visualization. You will support the development of analytics solutions that enable data-driven decision-making across the organization, working closely with experienced team members on real projects.
Responsibilities
Assist in gathering, processing, and analyzing data from various internal and external sources.
Support the development, maintenance, and enhancement of data analytics and reporting systems.
Utilize analytics and BI tools (e.g., Qlik Sense, Tableau, Power BI) to perform analysis and generate insights.
Participate in the creation of reports and dashboards that present clear, actionable information for business decision-making.
Document data sources, assumptions, and methods used in analyses to ensure clarity and repeatability.
Engage in continuous learning to improve proficiency in data tools, techniques, and best practices.
Collaborate with colleagues across functions, sharing findings in a clear and structured manner.
Required Skills & Experience
Education: Certificate in Data Science–related courses or equivalent training (online programs, bootcamps, or self-taught paths in Data Analytics).
Technical skills:
Basic to intermediate skills in data manipulation and analysis using SQL, Python, or R.
Good working knowledge of Excel/Google Sheets for data cleaning, analysis, and reporting.
Exposure to BI or visualization tools such as Qlik Sense, Tableau, or Power BI is an added advantage.
Analytical mindset: Strong analytical and numerical skills, with attention to detail and the ability to interpret data accurately.
Communication: Ability to communicate findings in simple, clear language to both technical and non-technical audiences.
Teamwork: A collaborative, proactive attitude and willingness to learn from senior team members.
Learning agility: Demonstrated enthusiasm for continuous learning and the ability to adapt in a rapidly evolving data and technology environment.
