2,279 Graduate Data Analyst Business Intelligence jobs in Kenya
Graduate Data Analyst - Business Intelligence
Posted 19 days ago
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Job Description
Our client is excited to offer a Graduate Data Analyst internship, providing a fantastic remote opportunity for recent graduates to launch their careers in data science and business intelligence. You will work alongside experienced analysts and data scientists, gaining practical experience in data manipulation, analysis, and visualization. This role is designed to immerse you in real-world data challenges, helping you develop essential skills in identifying trends, generating insights, and supporting data-driven decision-making. Key responsibilities include extracting and cleaning data from various sources, performing statistical analysis, creating reports and dashboards using tools like Tableau or Power BI, and assisting in the development of data models. The ideal candidate will have a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Proficiency in SQL for data extraction and manipulation is a must. Familiarity with programming languages such as Python or R for data analysis is highly desirable. You should possess strong analytical and problem-solving skills, a keen eye for detail, and a passion for uncovering insights from data. Excellent communication skills are necessary to present findings clearly and concisely to both technical and non-technical stakeholders in this remote setting. Our client provides comprehensive training, mentorship, and exposure to cutting-edge data technologies, fostering a collaborative and supportive remote work culture. This internship offers a valuable stepping stone for aspiring data professionals looking to build a strong foundation in the field.
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Graduate Data Analyst - Business Intelligence (Remote)
Posted 3 days ago
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Job Description
Our client is looking for bright, enthusiastic, and analytical recent graduates to join their Business Intelligence team as Graduate Data Analysts. This is a fully remote, paid internship designed to provide hands-on experience in data analysis, reporting, and business intelligence tools. You will work closely with experienced analysts and business stakeholders to extract insights from data, develop reports and dashboards, and support data-driven decision-making across the organization. This program is an excellent stepping stone for a career in data analytics.
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.
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.
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Remote Graduate Data Analyst - Business Intelligence
Posted 19 days ago
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Job Description
Our client is looking for ambitious and analytical Remote Graduate Data Analysts to join their dynamic team as interns. This fully remote opportunity is ideal for recent graduates eager to launch a career in data analytics and business intelligence. You will work closely with experienced data scientists and analysts, gaining hands-on experience in collecting, cleaning, analyzing, and visualizing data to uncover insights and support strategic decision-making. This role involves developing reports and dashboards, identifying trends, and communicating findings to stakeholders. We seek individuals with a strong foundation in quantitative methods, a keen eye for detail, and a passion for turning data into actionable information. This internship provides a fantastic platform to develop essential skills in a supportive, remote-first environment.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Analyst & Business Intelligence Specialist
Posted 5 days ago
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Job Description
Our client is seeking enthusiastic and bright Graduate Data Analysts to join their dynamic, fully remote Business Intelligence team. This internship offers an exceptional opportunity for recent graduates to kickstart their careers by applying analytical skills to real-world business challenges. You will work closely with experienced data scientists and business analysts to collect, clean, and interpret complex datasets. Your responsibilities will include assisting in the development of dashboards and reports, identifying trends and patterns within data, and contributing to data-driven decision-making processes.
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 .
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 .
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Graduate Data Analyst - Remote Business Intelligence
Posted 10 days ago
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Job Description
Our client is offering an exciting opportunity for bright and motivated recent graduates to join their team as Graduate Data Analysts, specializing in remote business intelligence. This role is fully remote, providing you with the chance to gain practical experience in data analysis and reporting from anywhere. You will work closely with experienced analysts, learning to collect, clean, analyze, and interpret complex datasets to provide actionable insights that drive business decisions. This internship is designed to offer a comprehensive foundation in data analytics, business intelligence tools, and statistical methods.
Key responsibilities include:
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 .
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 .
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4
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 4 days 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
Graduate Data Analyst - Machine Learning Specialization
Posted 9 days 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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6
Graduate Data Analyst - Machine Learning Focus
Posted 19 days ago
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Job Description
Are you a recent graduate with a passion for data and a keen interest in machine learning? Our client is looking for a talented Graduate Data Analyst to join our fully remote, innovative team. This internship offers an exceptional opportunity to gain hands-on experience in a fast-paced, cutting-edge environment, working alongside experienced data scientists and analysts. You will be involved in various stages of the data analysis lifecycle, from data collection and cleaning to model development and performance evaluation. Your primary focus will be supporting the implementation and testing of machine learning models, helping to extract valuable insights from complex datasets. This is a remote-first role, designed to provide flexibility and allow you to contribute effectively from anywhere with a reliable internet connection. We are seeking candidates who are eager to learn, possess strong analytical and quantitative skills, and have a foundational understanding of statistical concepts and programming. Experience with Python or R, and familiarity with data visualization tools, would be a significant advantage. You will have the opportunity to work on real-world projects, contributing to data-driven decision-making processes within our organization. This internship is an excellent stepping stone for a career in data science or analytics. You will be mentored by senior team members who will guide you through challenging projects and provide constructive feedback. The role is based out of Kakamega, Kakamega, KE , but it is a fully remote opportunity, welcoming applications from across the globe.
Key Responsibilities:
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.
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7
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 19 days ago
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Job Description
Our client is seeking a brilliant and visionary Principal AI Research Scientist specializing in Machine Learning and Computer Vision for a fully remote role. You will lead groundbreaking research initiatives aimed at developing novel AI algorithms and solutions that address complex real-world problems. This position requires a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Your responsibilities will include conceptualizing and executing research projects, developing and implementing cutting-edge ML models (deep learning, reinforcement learning, etc.), and driving innovation in areas such as object detection, image segmentation, and predictive modeling. You will collaborate with cross-functional teams of engineers and product managers to translate research breakthroughs into practical applications. A deep understanding of Python, TensorFlow, PyTorch, and other relevant ML frameworks is essential. The ideal candidate will possess exceptional analytical and problem-solving skills, a passion for scientific discovery, and the ability to mentor junior researchers and engineers. Experience with large-scale data processing and distributed computing environments is highly beneficial. This remote role demands strong communication skills for presenting complex research findings and fostering collaboration within a global, distributed team. You will be at the forefront of AI innovation, shaping the future of our client's technology landscape and contributing to significant advancements in artificial intelligence. This is an unparalleled opportunity to conduct high-impact research with the flexibility of remote work.
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8
Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 18 days ago
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Job Description
Our client is seeking a brilliant and innovative Senior AI Research Scientist to join their cutting-edge research team. This is a fully remote position, offering an unparalleled opportunity to contribute to groundbreaking advancements in artificial intelligence, machine learning, and deep learning. The ideal candidate will possess a strong theoretical foundation and extensive practical experience in developing and implementing advanced AI models. You will be responsible for conceptualizing, designing, and executing research projects, with a focus on areas such as natural language processing, computer vision, reinforcement learning, or predictive analytics. Your role will involve staying at the forefront of AI research, publishing findings in top-tier conferences and journals, and collaborating with a global team of researchers and engineers. Key responsibilities include developing novel algorithms, building scalable AI systems, conducting rigorous experimentation, and translating research outcomes into practical applications. You will be expected to mentor junior researchers, contribute to the intellectual property portfolio, and actively participate in shaping the future direction of AI development within the organization. This role requires exceptional analytical skills, a deep understanding of mathematical principles underpinning AI, and proficiency in programming languages such as Python, R, and relevant AI frameworks (TensorFlow, PyTorch). The ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences is essential. As a remote-first role, strong self-motivation, excellent time management, and proactive collaboration skills are paramount.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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