146 Data Analysis Tools jobs in Kenya
Graduate Trainee - Data Science & Analytics
Posted 3 days ago
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Job Description
Program Overview:
- Duration: 12 weeks (with potential for extension or full-time offer).
- Focus: Practical application of data science principles, statistical modeling, machine learning algorithms, and data visualization techniques.
- Projects: Work on diverse projects involving data cleaning, exploratory data analysis, predictive modeling, and dashboard development.
- Mentorship: Receive guidance and support from experienced data science professionals.
- Training: Participate in workshops and training sessions covering relevant tools and technologies (e.g., Python, R, SQL, Tableau, Power BI).
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement basic statistical models and machine learning algorithms under supervision.
- Create clear and insightful data visualizations and reports.
- Collaborate with team members to understand project requirements and deliver results.
- Document methodologies, findings, and project progress.
- Stay curious and actively learn about new data science techniques and tools.
- Participate in team meetings and contribute to discussions.
- Assist in testing and validating data models and analytical outputs.
- Contribute to maintaining data quality and integrity.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and mathematical concepts.
- Familiarity with programming languages such as Python or R for data analysis.
- Basic understanding of SQL and database concepts.
- Eagerness to learn and a passion for data and problem-solving.
- Excellent analytical and critical thinking skills.
- Strong communication and collaboration abilities, essential for remote teamwork.
- Self-motivated and able to manage time effectively to meet deadlines.
- Previous exposure to data visualization tools is a plus.
- Must have a reliable internet connection and a suitable remote working environment.
This internship is an excellent launchpad for a career in data science. You will gain invaluable practical experience, develop a robust skill set, and have the opportunity to network within a leading technology firm, all while working remotely.
Graduate Trainee - Data Science & Analytics
Posted 5 days ago
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Graduate Trainee - Data Science & Analytics (Remote)
Posted 3 days ago
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Job Description
Program Highlights:
- Intensive training in data analysis, statistical modeling, machine learning, and data visualization.
- Hands-on experience with industry-standard tools and platforms (e.g., Python, R, SQL, Tableau).
- Mentorship from senior data scientists and analysts.
- Involvement in diverse projects, applying learned skills to solve business challenges.
- Development of essential professional skills, including communication, teamwork, and problem-solving.
- Opportunities to present findings and recommendations to cross-functional teams.
- Exposure to different business functions and their data needs.
- A collaborative and supportive remote work environment.
We are seeking highly motivated recent graduates with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline. A strong academic record and demonstrable analytical aptitude are essential. Proficiency in at least one programming language (e.g., Python, R) is required. Familiarity with SQL and data visualization tools is a plus. Excellent communication and interpersonal skills are necessary to thrive in a remote team setting. Eagerness to learn and a proactive attitude are paramount. This opportunity, based in Nakuru, Nakuru, KE , allows you to build a robust foundation in data science from anywhere.
Graduate Trainee - Data Science
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Help in the creation of data visualizations and reports to communicate findings.
- Learn and apply statistical methods and data mining techniques.
- Participate in team meetings and contribute to project discussions.
- Assist in the documentation of data science processes and methodologies.
- Gain practical experience with data science tools and programming languages (e.g., Python, R, SQL).
- Collaborate with other interns and team members in a virtual setting.
- Undertake specific data-related tasks as assigned by the mentor or supervisor.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Basic programming knowledge in Python or R.
- Familiarity with SQL for database querying is a plus.
- Excellent analytical and problem-solving skills.
- Eagerness to learn and a strong desire to develop a career in data science.
- Good communication and collaboration skills, with the ability to work effectively in a remote team.
- Self-motivated, organized, and able to manage time effectively in a remote internship.
- A keen interest in machine learning and artificial intelligence.
- Ability to work independently and proactively seek information.
Graduate Trainee - Data Science
Posted 1 day ago
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Junior Data Science Apprentice
Posted 1 day ago
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Job Description
What You Will Learn and Do:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Learn to apply statistical methods and machine learning algorithms to extract insights from data.
- Develop basic data visualization techniques to communicate findings effectively.
- Support senior data scientists in building predictive models and analytical reports.
- Gain exposure to programming languages like Python and R for data manipulation and analysis.
- Understand the principles of data warehousing and database management.
- Participate in team meetings, contributing ideas and learning from experienced professionals.
- Help in the documentation of data processes, methodologies, and findings.
- Troubleshoot data issues and assist in ensuring data quality and integrity.
- Develop a strong understanding of business challenges and how data science can provide solutions.
Qualifications:
- Recent graduate with a degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field, or equivalent practical experience.
- Demonstrated passion for data analysis and problem-solving.
- Basic understanding of programming concepts, with a preference for Python or R.
- Familiarity with basic statistical concepts and principles.
- Excellent analytical and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A self-starter with strong organizational skills and the ability to manage tasks efficiently in a remote setting.
- This is a **fully remote** apprenticeship, requiring reliable internet access and a dedicated workspace.
Junior Data Science Apprentice
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing datasets for analysis.
- Perform exploratory data analysis to identify trends and insights.
- Support the development and implementation of basic machine learning models.
- Collaborate with team members to visualize data and present findings.
- Learn and apply statistical methods to analyze data.
- Contribute to documentation of data processes and model performance.
- Assist in testing and validating data models and algorithms.
- Participate in team meetings and knowledge-sharing sessions.
- Gain proficiency in data science tools and libraries (e.g., Python, R, Pandas, Scikit-learn).
- Follow project guidelines and contribute to successful project outcomes.
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent academic background.
- Foundational knowledge of programming languages such as Python or R.
- Basic understanding of statistical concepts and data analysis principles.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Self-motivated and able to manage time effectively in a remote setting.
- A genuine interest in data science and machine learning.
- Previous exposure to data visualization tools is a plus.
- Must be legally eligible to work and complete an apprenticeship in Kenya.
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Graduate Trainee - Data Science
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Support data scientists in building and validating predictive models.
- Perform exploratory data analysis to identify trends and insights.
- Contribute to the development of data visualization dashboards.
- Learn and apply various machine learning algorithms.
- Write scripts for data manipulation and analysis in Python or R.
- Assist in documenting data science processes and methodologies.
- Collaborate with team members on data-driven projects.
- Participate in team meetings and present findings.
- Develop a foundational understanding of statistical concepts and their application.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
- Strong academic record with excellent grades.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with SQL for database querying.
- Basic understanding of statistical concepts and machine learning algorithms.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Advanced Apprenticeship - Data Science
Posted 2 days ago
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Job Description
Program Details & Responsibilities:
- Undergo structured training in core data science concepts, including statistics, programming (Python/R), data visualization, and machine learning algorithms.
- Work on assigned projects under the guidance of senior data scientists, contributing to data analysis, model development, and report generation.
- Learn to utilize various data science tools and platforms effectively.
- Collaborate with team members on data-related tasks and problem-solving.
- Assist in the preparation of data for analysis and modeling.
- Develop skills in communicating data-driven insights to both technical and non-technical stakeholders.
- Gain practical experience in the entire data science lifecycle, from data collection to deployment.
- Participate in regular feedback sessions and performance reviews.
- Contribute to a positive and collaborative remote team environment.
- Adhere to company policies and ethical guidelines regarding data handling and analysis.
- Recent graduates with a degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience.
- Strong analytical and problem-solving skills.
- A keen interest in data science, machine learning, and artificial intelligence.
- Basic proficiency in programming, preferably Python or R.
- Excellent communication and interpersonal skills.
- Ability to learn quickly and adapt to new technologies and methodologies.
- Demonstrated self-discipline and motivation to succeed in a remote learning and working environment.
- Must be legally eligible to work remotely.
- A genuine desire to build a career in Data Science.