What Jobs are available for Graduate Trainee Data Analysis in Kenya?
Showing 2326 Graduate Trainee Data Analysis jobs in Kenya
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in collecting, organizing, and managing data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and accuracy.
- Conduct basic data analysis to identify trends, patterns, and insights.
- Support senior analysts in developing reports and dashboards.
- Learn and utilize data analysis tools such as Excel, SQL, and Python libraries (e.g., Pandas).
- Contribute to data visualization efforts to communicate findings effectively.
- Participate in team meetings and discussions related to data projects.
- Assist in documenting data processes and methodologies.
- Develop an understanding of business objectives and how data can support them.
- Gain exposure to various analytical techniques and their applications.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and critical thinking skills.
- Proficiency in Microsoft Excel.
- Familiarity with data analysis concepts.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Basic understanding of programming languages like Python or R is a plus.
- A genuine interest in data and its potential to drive business value.
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Graduate Trainee - Data Analysis
Posted 4 days ago
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Job Description
As a Graduate Trainee, you will work closely with experienced data analysts and scientists, learning to use powerful analytical tools and techniques. Your responsibilities will include supporting data extraction and transformation processes, assisting in the development of reports and dashboards, performing statistical analysis, and identifying trends and patterns within data. You will gain practical experience with data visualization tools and contribute to projects that provide actionable insights across various business functions. The ideal candidate will have a strong academic background in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Excellent analytical and problem-solving skills, a keen attention to detail, and a genuine curiosity about data are essential. While prior professional experience is not required, a strong understanding of basic statistical concepts and familiarity with spreadsheet software (e.g., Excel) are beneficial. The ability to learn quickly, adapt to new technologies, and communicate effectively in a virtual environment is paramount. This is an exceptional opportunity to gain invaluable experience in the high-demand field of data analysis and contribute meaningfully to our client's data-driven initiatives, all while working remotely.
Location : Remote, with an opportunity to grow within the company network near Kericho, Kericho, KE .
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Junior Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Key responsibilities will include:
- Assisting senior analysts in collecting, cleaning, and organizing large datasets from various sources.
- Performing basic data analysis using statistical methods and tools.
- Generating reports and visualizations to communicate findings to the team.
- Supporting the development and testing of data models and algorithms under supervision.
- Learning and applying industry-standard data analysis techniques and software.
- Collaborating with team members on data-related projects and initiatives.
- Documenting data processes, methodologies, and findings.
- Participating in team meetings and contributing to discussions on data insights.
- Identifying trends and patterns within datasets.
- Shadowing experienced data analysts to gain practical insights into their workflows.
- Assisting with data quality assurance checks.
- Researching new tools and techniques in data analytics.
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Remote Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
As a Graduate Trainee, you will work closely with experienced data analysts and scientists on real-world projects. Your responsibilities will include collecting, cleaning, and analyzing data; identifying trends and patterns; and assisting in the creation of reports and visualizations to communicate findings. You will gain exposure to various data analysis tools and techniques, contributing to data-driven decision-making processes within the organization.
Key Responsibilities:
- Assist in the collection, organization, and management of large datasets from various sources.
- Perform data cleaning and pre-processing to ensure data quality and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Support senior analysts in developing and implementing data models.
- Create charts, graphs, and dashboards to visualize data and communicate insights effectively.
- Generate reports and summaries of findings for internal stakeholders.
- Learn and utilize various data analysis tools and programming languages (e.g., Python, R, SQL, Excel).
- Participate in team meetings and contribute to discussions on data analysis strategies.
- Collaborate with other departments to understand their data needs and provide analytical support.
- Assist in the documentation of data analysis processes and methodologies.
- Stay curious and eager to learn new data analysis techniques and technologies.
- Adhere to data privacy and security protocols.
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 analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with SQL databases is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Strong attention to detail and commitment to accuracy.
- Enthusiasm for data and a strong desire to learn and develop data analysis skills.
- A positive attitude and a team-oriented mindset.
This remote Graduate Trainee position is an excellent stepping stone for individuals passionate about data and eager to build a career in this exciting field. If you are a recent graduate ready to gain practical experience in a supportive virtual setting, we encourage you to apply.
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Graduate Trainee - Data Analysis (Remote)
Posted 1 day ago
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Junior Graduate Trainee Program - Data Analysis
Posted 1 day ago
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Job Description
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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Remote Graduate Management Trainee - Data Analysis
Posted 1 day ago
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Graduate Data Analyst - Machine Learning Specialization
Posted 1 day ago
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Job Description
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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Graduate Data Analyst, Machine Learning Focus
Posted 1 day ago
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Job Description
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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Graduate Data Analyst - AI & Machine Learning
Posted 1 day ago
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Job Description
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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