What Jobs are available for Junior Graduate Trainee Data Analysis in Kenya?
Showing 2326 Junior Graduate Trainee Data Analysis jobs in Kenya
Junior Graduate Trainee Program - Data Analysis
Posted 1 day ago
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Job Description
Our client is seeking highly motivated and ambitious recent graduates to join their prestigious Graduate Trainee Program focused on Data Analysis. This fully remote role offers an unparalleled opportunity to kickstart your career in a dynamic and innovative environment. You will be immersed in real-world projects, gaining hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to derive actionable insights. The program is designed to provide comprehensive training in various data analysis tools and methodologies, including SQL, Python, R, and data visualization software. You will work closely with experienced data scientists and analysts, contributing to critical business decisions.
Responsibilities:
Qualifications:
This is an exceptional chance to gain invaluable experience and develop specialized skills in data analysis within a supportive and forward-thinking organization. The role is based remotely, offering flexibility and a modern approach to professional development.
Responsibilities:
- Assist in the collection and consolidation of data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards to visualize data findings for stakeholders.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Support senior analysts in developing predictive models and statistical analyses.
- Participate in training sessions and continuous learning activities to enhance data analysis skills.
- Contribute to the development of documentation for data processes and methodologies.
- Adhere to best practices in data management and security.
- Provide feedback on program effectiveness and suggest areas for improvement.
Qualifications:
- A recent Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Familiarity with data analysis tools and programming languages (e.g., SQL, Python, R) is a plus.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Proactive and eager to learn, with a strong work ethic.
- Ability to work independently and collaboratively in a remote team setting.
- Must be eligible to work remotely.
This is an exceptional chance to gain invaluable experience and develop specialized skills in data analysis within a supportive and forward-thinking organization. The role is based remotely, offering flexibility and a modern approach to professional development.
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0
Graduate Data Analyst - Machine Learning Specialization
Posted 1 day ago
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Job Description
Our client, a forward-thinking technology firm, is excited to offer a unique Graduate Data Analyst internship with a specialization in Machine Learning. This is a fully remote opportunity, providing invaluable experience to ambitious graduates eager to launch their careers in data science and AI. You will work closely with senior data scientists and engineers, contributing to real-world projects that leverage machine learning to solve complex business challenges. This internship is designed to provide comprehensive exposure to the data analysis lifecycle, from data collection and cleaning to model development, evaluation, and deployment. You will gain hands-on experience with cutting-edge tools and methodologies, developing a strong foundation in data-driven decision-making.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct literature reviews on relevant machine learning techniques and algorithms.
- Assist in the evaluation and validation of model performance.
- Develop data visualizations and reports to communicate findings to the team.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply statistical methods and machine learning algorithms.
- Participate in team meetings and contribute to discussions on project progress and strategy.
- Gain practical experience with programming languages like Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in at least one programming language, preferably Python.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data science, machine learning, and artificial intelligence.
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1
Graduate Data Analyst, Machine Learning Focus
Posted 1 day ago
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Job Description
Our client is offering an exceptional opportunity for enthusiastic graduates to join their pioneering team as Graduate Data Analysts, with a specialization in Machine Learning. This is a fully remote internship designed to provide hands-on experience in a cutting-edge field. You will work closely with senior data scientists and engineers, contributing to real-world projects that involve developing and deploying machine learning models. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, feature engineering, and assisting in the training and evaluation of machine learning algorithms. This role requires a strong quantitative background, a passion for data, and a foundational understanding of statistical concepts and programming languages like Python or R. You will gain invaluable exposure to the entire data science lifecycle in a supportive and collaborative remote environment. We are looking for bright, curious minds eager to learn and apply their academic knowledge to solve challenging business problems. This internship is an excellent springboard for a career in data science or machine learning.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets for analysis and model building.
- Perform exploratory data analysis to uncover trends, patterns, and insights.
- Support the development and implementation of machine learning models under guidance.
- Conduct feature engineering and selection to improve model performance.
- Help evaluate model accuracy and performance metrics.
- Document data analysis processes, methodologies, and findings.
- Collaborate with team members on various data science projects.
- Learn and apply new techniques and tools in data analysis and machine learning.
- Assist in the preparation of reports and visualizations to communicate insights.
- Contribute to a positive and productive remote team environment.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of database concepts and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- A portfolio of personal projects or contributions to open-source projects is a plus.
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2
Graduate Data Analyst - AI & Machine Learning
Posted 1 day ago
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Job Description
Our client is looking for enthusiastic and bright Graduate Data Analysts to join their pioneering AI & Machine Learning team in a fully remote, internship capacity. This is an exceptional opportunity for recent graduates to gain hands-on experience in the exciting fields of data science, artificial intelligence, and machine learning. You will work closely with experienced data scientists and engineers, contributing to real-world projects that involve data cleaning, feature engineering, model development, and performance evaluation. The ideal candidate will possess a strong foundation in statistics, mathematics, and programming, with a keen interest in developing skills in Python or R, and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. You will be involved in extracting insights from large datasets, building predictive models, and assisting in the deployment of AI solutions. As a remote intern, you will benefit from a flexible work environment and access to online learning resources, with regular virtual mentorship sessions and team meetings to ensure guidance and integration. We are seeking individuals who are highly curious, eager to learn, and possess excellent analytical and problem-solving abilities. The ability to communicate technical findings clearly, both verbally and in writing, is also essential. This internship provides a stepping stone for a career in data science and AI, offering exposure to cutting-edge technologies and a supportive learning environment. You will have the chance to apply theoretical knowledge to practical challenges and contribute to innovative projects that are shaping the future of technology. This role is perfect for driven individuals looking to kickstart their career in a rapidly evolving industry.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
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3
Graduate Analyst - Data Science (Remote)
Posted 1 day ago
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Job Description
Our client is offering an exciting opportunity for ambitious and bright Graduates to join their cutting-edge Data Science team as Graduate Analysts, working remotely. This internship is designed for individuals passionate about leveraging data to drive insights and innovation, with a focus on projects relevant to **Nyeri, Nyeri, KE**, and national-level data challenges. You will work closely with experienced data scientists, gaining hands-on experience in data cleaning, analysis, visualization, and model development. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Proficiency in programming languages like Python or R, and familiarity with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. You should have a solid understanding of statistical concepts and machine learning algorithms. Responsibilities include assisting with data collection and preparation, performing exploratory data analysis, contributing to the development of predictive models, and generating reports and presentations to communicate findings. We are looking for curious, detail-oriented individuals with excellent problem-solving abilities and a strong desire to learn. This fully remote internship provides invaluable real-world experience in data science, allowing you to develop practical skills and contribute to meaningful projects. Join a forward-thinking organization committed to data-driven decision-making and technological advancement. This is an excellent platform to launch your career in the dynamic field of data science.
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4
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 1 day ago
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Job Description
Our client is seeking ambitious and intellectually curious Graduate Data Analysts to join their cutting-edge, fully remote program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for recent graduates to gain hands-on experience with real-world data challenges, working alongside experienced data scientists and engineers. You will be instrumental in collecting, cleaning, analyzing, and interpreting large datasets to uncover insights, build predictive models, and contribute to the development of innovative AI solutions.
Responsibilities:
Qualifications:
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Visualize data and model results using tools such as Python libraries (Matplotlib, Seaborn) or Tableau.
- Collaborate with data scientists and engineers on feature engineering and model selection.
- Document methodologies, findings, and code for reproducibility and knowledge sharing.
- Participate in regular team meetings and contribute to project discussions.
- Learn and apply new data analysis techniques and tools relevant to AI/ML.
- Assist in the testing and validation of AI/ML models.
- Contribute to the overall data strategy and innovation efforts.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic programming skills in Python or R, including experience with relevant data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms is highly desirable.
- Exposure to data visualization tools.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills, essential for remote collaboration.
- Proactive attitude and eagerness to learn and take on new challenges.
- Self-motivated and able to manage tasks effectively in a remote environment.
- A genuine interest in AI and Machine Learning.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
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5
Remote Junior Graduate Analyst - Data Science
Posted 1 day ago
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Job Description
Our client is seeking bright and enthusiastic Junior Graduate Analysts to join their innovative data science team. This is a fully remote internship opportunity, providing invaluable hands-on experience in data analysis, interpretation, and modeling. The ideal candidate is a recent graduate with a strong academic background in a quantitative field, a passion for data, and a keen analytical mind. You will work closely with senior data scientists and analysts, contributing to real-world projects and learning cutting-edge techniques in a supportive virtual environment.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of statistical models and machine learning algorithms under guidance.
- Create visualizations and reports to communicate findings to technical and non-technical audiences remotely.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply new data analysis tools and techniques.
- Assist in documenting methodologies, processes, and results.
- Participate in virtual team meetings and contribute to discussions.
- Identify opportunities for data-driven improvements within projects.
- Contribute to maintaining data quality and integrity.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills, suitable for remote interaction.
- Ability to work independently, manage time effectively, and learn quickly.
- Proactive attitude and eagerness to contribute to team objectives.
- Familiarity with data visualization tools is an advantage.
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6
Junior Graduate Analyst - Data Analytics
Posted 1 day ago
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Job Description
Our client is seeking an enthusiastic and motivated Junior Graduate Analyst to join their data analytics team. This role is fully remote, providing a fantastic opportunity to gain practical experience in data analysis and interpretation within a supportive, virtual environment. You will assist in collecting, cleaning, analyzing, and visualizing data to uncover insights that drive business decisions. The ideal candidate is a recent graduate with a strong foundation in analytical thinking, a keen interest in data, and a desire to learn and grow in the field of data analytics.
Responsibilities:
Responsibilities:
- Assist in the collection, extraction, and organization of data from various sources.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and consistency.
- Conduct basic data analysis using statistical methods and tools.
- Generate reports and visualizations to communicate data findings effectively.
- Support senior analysts in developing dashboards and performance metrics.
- Identify trends, patterns, and anomalies in datasets.
- Assist in the development of data models and analytical frameworks.
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Learn and apply new data analysis techniques and tools.
- Document analytical processes and findings clearly.
- Contribute to a data-driven culture by presenting insights and recommendations.
- Maintain data integrity and confidentiality.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
- Strong understanding of basic statistical concepts and methods.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong attention to detail and commitment to data accuracy.
- Effective written and verbal communication skills, especially for conveying technical information.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Team player with a positive attitude and a willingness to contribute.
- Prior internship or project experience in data analysis is advantageous.
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7
Remote Graduate Analyst - Data & Analytics
Posted 1 day ago
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Job Description
Kick-start your career with our exclusive Remote Graduate Analyst position, focusing on Data & Analytics, supporting our endeavors in **Eldoret, Uasin Gishu, KE**. WhatJobs is looking for bright, ambitious recent graduates eager to dive into the world of data interpretation and strategic insights. In this fully remote role, you will be instrumental in collecting, processing, and analyzing vast datasets to identify trends, patterns, and key business insights. You will work closely with senior analysts and data scientists, learning to utilize advanced analytical tools and techniques. Your responsibilities will include data cleaning and preparation, conducting statistical analysis, generating reports and visualizations, and communicating findings to various stakeholders. This is a unique opportunity to gain hands-on experience in a high-demand field, developing critical skills in data manipulation, statistical modeling, and data storytelling. We are committed to fostering a learning environment where you can grow professionally, receive continuous feedback, and build a strong foundation for a successful career in data analytics. The ideal candidate possesses a strong quantitative aptitude, excellent problem-solving abilities, and a keen eye for detail. A degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline is required. Proficiency in data analysis tools like Excel, SQL, and familiarity with programming languages such as Python or R is highly desirable. If you are a driven graduate seeking a challenging and rewarding remote opportunity to make a real impact, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform quantitative analysis to identify trends, patterns, and insights.
- Develop reports and dashboards to visualize data and communicate findings effectively.
- Support senior analysts in developing predictive models and statistical analyses.
- Collaborate with cross-functional teams to understand data needs and provide analytical solutions.
- Stay updated with the latest trends and technologies in data analytics.
- Ensure data accuracy and integrity throughout the analysis process.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel is essential; knowledge of SQL is a strong plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Excellent written and verbal communication skills.
- Ability to work independently and manage multiple tasks in a remote environment.
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