2,930 Graduate Trainee Data Analytics Business Intelligence jobs in Kenya
Graduate Data Analyst - Business Intelligence
Posted 20 days ago
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Graduate Data Analyst - Business Intelligence (Remote)
Posted 4 days ago
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Key Responsibilities:
- Data Extraction & Cleaning: Assist in extracting data from various sources, performing data cleaning, and ensuring data accuracy and integrity.
- Report & Dashboard Development: Support the creation and maintenance of business reports and interactive dashboards using BI tools (e.g., Power BI, Tableau, Excel).
- Data Analysis: Conduct preliminary data analysis to identify trends, patterns, and anomalies. Assist in interpreting data and generating insights.
- Data Visualization: Help in visualizing data in a clear and concise manner to communicate findings effectively.
- Documentation: Assist in documenting data processes, methodologies, and report specifications.
- Stakeholder Support: Provide support to business teams by answering data-related queries and generating ad-hoc reports.
- Learning & Development: Actively participate in training sessions and learn new data analysis techniques and tools.
Qualifications:
- Education: Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
- Skills: Strong analytical and problem-solving skills. Proficiency in Microsoft Excel (including pivot tables, VLOOKUPs). Basic understanding of databases and SQL is a significant advantage. Familiarity with BI tools like Power BI or Tableau is a plus. Good communication skills (written and verbal). Ability to work independently and manage tasks effectively.
- Remote Work Readiness: Must have a reliable computer and stable internet connection. Must be self-motivated, detail-oriented, and capable of working autonomously in a virtual environment. Proactive approach to learning and problem-solving.
This is an exceptional opportunity for recent graduates to gain valuable experience in data analytics and business intelligence within a supportive, fully remote environment. The role is associated with Machakos, Machakos, KE , but is performed entirely remotely.
Remote Graduate Data Analyst - Business Intelligence
Posted 20 days ago
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Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data accuracy and consistency.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports and dashboards using BI tools (e.g., Tableau, Power BI).
- Assist in interpreting complex data sets and translating them into understandable insights.
- Support senior analysts in preparing presentations and communicating findings to stakeholders.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Learn and apply statistical techniques to analyze data.
- Contribute to data validation processes and quality assurance.
- Stay updated on new data analysis tools and techniques.
- Assist in the documentation of data processes and methodologies.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis methodologies.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for data extraction and manipulation.
- Exposure to business intelligence tools such as Tableau, Power BI, or similar.
- Excellent analytical and problem-solving skills with meticulous attention to detail.
- Strong communication and presentation skills, with the ability to convey technical information clearly.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong organizational skills and ability to manage multiple tasks.
- Previous internship or project experience in data analysis is a plus.
Graduate Data Analyst & Business Intelligence Specialist
Posted 5 days ago
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The ideal candidate will possess a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. While prior professional experience is not required, a demonstrable passion for data analysis and a solid understanding of statistical concepts are essential. Familiarity with data analysis tools and programming languages like SQL, Python, or R is a significant advantage. You should be highly motivated, detail-oriented, and possess excellent problem-solving skills. Strong written and verbal communication abilities are important for collaborating with team members and presenting findings. This internship is designed to provide hands-on experience in data visualization, business intelligence, and analytical modeling within a supportive, remote work environment. You will gain valuable insights into how data drives business strategy and operational improvements. A Bachelor's degree obtained within the last two years is required. This is a fantastic chance to learn and grow within a forward-thinking company, contributing valuable insights remotely, with our central administrative office located in Thika, Kiambu, KE .
Graduate Trainee - Data Analytics and Business Intelligence
Posted 5 days ago
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Graduate Trainee - Data Analytics & Business Intelligence
Posted 19 days ago
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Remote Graduate Trainee - Data Analytics & Business Intelligence
Posted today
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Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and maintenance of dashboards and reports using business intelligence tools (e.g., Tableau, Power BI).
- Perform basic data analysis to identify trends, patterns, and anomalies under the supervision of senior analysts.
- Collaborate with team members to understand business requirements and translate them into data-driven solutions.
- Help in the creation of visualizations and presentations to communicate findings to stakeholders.
- Learn and apply statistical methods and data mining techniques.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Gain exposure to various data analysis methodologies and tools.
- Assist in documenting data processes, methodologies, and findings.
Qualifications:
- 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 analytical and problem-solving skills, with a keen attention to detail.
- Proficiency in Microsoft Excel; familiarity with SQL is a significant advantage.
- Basic understanding of data analysis concepts and statistical principles.
- Eagerness to learn and adapt to new technologies and analytical tools.
- Excellent written and verbal communication skills, suitable for remote collaboration.
- Self-motivated and able to work independently with good time management skills.
- A proactive approach to learning and contributing to team goals.
- Passion for data and its potential to drive business value.
- Previous internship or project experience in data analysis is a plus, but not mandatory.
This graduate program offers a unique pathway to a rewarding career in data analytics, providing comprehensive training and mentorship in a fully remote setting.
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Graduate Data Analyst - Remote Business Intelligence
Posted 10 days ago
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Key responsibilities include:
- Assisting in the collection and consolidation of data from various sources.
- Performing data cleaning and pre-processing to ensure data accuracy and integrity.
- Conducting exploratory data analysis to identify trends, patterns, and anomalies.
- Supporting the development of reports and dashboards using BI tools (e.g., Tableau, Power BI).
- Learning to apply statistical techniques to analyze data and generate insights.
- Collaborating with senior analysts on data modeling and interpretation.
- Documenting data sources, methodologies, and findings.
- Troubleshooting data discrepancies and resolving issues under supervision.
- Participating in team meetings and knowledge-sharing sessions.
- Gaining exposure to different analytical tools and programming languages (e.g., SQL, Python).
- Supporting ad-hoc data requests from various departments.
- Contributing to the continuous improvement of data processes and reporting.
To be considered for this role, you should be a recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong analytical mindset, excellent problem-solving skills, and a keen eye for detail are essential. Basic knowledge of data analysis principles and statistical concepts is required. Familiarity with data visualization tools and/or programming languages like SQL, Python, or R is a significant advantage. Excellent communication and interpersonal skills, coupled with the ability to work effectively in a remote team environment, are crucial. This is an exceptional opportunity to kickstart your career in data analytics, learning valuable skills and contributing to impactful projects in a fully remote setting, all while being part of a team that impacts decisions from Bungoma, Bungoma, KE .
Graduate Data Analyst - Machine Learning Specialization
Posted 9 days ago
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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.
Graduate Data Analyst - Machine Learning Focus
Posted 20 days ago
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Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior staff.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create data visualizations and reports to communicate findings effectively.
- Conduct statistical analysis and hypothesis testing.
- Collaborate with the data science team on various research and development projects.
- Document methodologies, code, and results clearly and concisely.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Basic understanding of machine learning algorithms and principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Good communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for learning and a proactive attitude.