9,759 Analysts jobs in Kenya
Data analytics and Research Intern
Posted today
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A Business Data Analytics and Research intern plays a crucial role in organizations by leveraging data to drive strategic decision-making, conducting research to identify market trends, and optimizing business operations. Below are key responsibilities and skills typically associated with this role:
Key Responsibilities:
Data Collection and Analysis
:Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.
- Use statistical tools to interpret data sets, identifying patterns and trends that inform business decisions.
2.Data Visualization, Reporting and Presentation
:
- Prepare and present detailed reports, dashboards, and visualizations that summarize key data insights and findings.
- Communicate complex data results to non-technical stakeholders in a clear and actionable manner.
- Capacity to develop concept notes and proposals based on market research gaps
3. Market Research
:
- Conduct qualitative and quantitative research to identify new market opportunities, competitor analysis, and customer preferences.
- Evaluate market conditions, industry trends, and competitors' activities to support business growth strategies.
- Prepare presentations based on market research reports
4.Business Performance Monitoring
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- Monitor key performance indicators (KPIs) to track business progress and identify areas for improvement.
- Recommend improvements based on data insights to optimize processes, reduce costs, and increase profitability.
5.Collaborating with Teams
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- Work closely with different departments such as marketing, finance, and operations to align data-driven insights with business objectives.
- Provide support for product development, sales strategies, and customer experience initiatives through data analysis.
6.Data Management
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- Ensure the accuracy, completeness, and security of data.
- Develop and maintain databases, data collection systems, and strategies for efficient data storage and retrieval.
Key Skills:
1.Data Analytics Tools
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- Proficient in tools like SQL, Excel, Tableau, Power BI, Google Analytics, and other business intelligence platforms.
2.Statistical Analysis
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- Knowledge of statistical software (e.g., R, SAS, SPSS) and techniques such as regression analysis, hypothesis testing, and predictive modeling.
3.Research and Excellent Writing skills:
- Strong ability to conduct both primary and secondary research, including surveys, interviews, and literature reviews.
- Capacity to develop report and concepts based on market research reports
4.Problem-Solving
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- Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.
5.Communication Skills
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- Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.
6.Attention to Detail
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- High level of precision in handling large data sets and ensuring data accuracy.
7.Project Management
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- Ability to manage multiple research projects simultaneously, ensuring timely delivery of results.
Education, knowledge and experience:
- A degree in Agricultural Economics or a related field.
- Experience in management and analysis of data.
- Field experience and synthesis of data and lessons for learning
- Knowledge and savvy of data analysis software, especially Stata.
- Very strong analytical skills and applied statistical experience.
- Good scientific wring experience.
Remote Financial Analyst - Investment Research
Posted 10 days ago
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Financial Analyst - Remote Investment Research
Posted 4 days ago
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AI & Machine Learning Research Fellow
Posted 12 days ago
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Key Responsibilities:
- Assist senior researchers in designing, implementing, and testing machine learning models for various applications.
- Conduct literature reviews on cutting-edge AI research topics and summarize findings.
- Develop and preprocess datasets for training and evaluating machine learning algorithms.
- Write clean, efficient, and well-documented code in Python, utilizing libraries such as TensorFlow, PyTorch, and scikit-learn.
- Participate in team meetings and brainstorming sessions to propose new research directions and solutions.
- Contribute to the development of research papers, presentations, and technical reports.
- Help in the deployment and testing of AI models in simulated or real-world environments.
- Collaborate with other interns and researchers on assigned projects.
- Maintain detailed records of experiments, results, and methodologies.
- Gain exposure to various domains of AI, including but not limited to, natural language processing, computer vision, and reinforcement learning.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a closely related quantitative field.
- Strong foundational knowledge of machine learning algorithms, data structures, and software development principles.
- Proficiency in Python programming and experience with relevant AI/ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Basic understanding of mathematical concepts such as linear algebra, calculus, and probability.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to clearly articulate technical concepts.
- Must be self-motivated, detail-oriented, and capable of working independently in a remote setting.
- A genuine passion for artificial intelligence and a desire to learn and contribute to research.
- Previous research experience or personal AI projects are a plus.
AI Research Scientist - Machine Learning
Posted 19 days ago
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Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence
- Develop, implement, and optimize novel ML algorithms and deep learning models
- Analyze large and complex datasets to extract meaningful insights and drive model performance
- Design and execute experiments to validate research hypotheses
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Publish research findings in top-tier conferences and journals
- Develop and maintain robust, scalable, and efficient AI systems
- Stay abreast of the latest advancements in AI/ML research and industry trends
- Contribute to intellectual property development, including patents and white papers
- Mentor junior researchers and interns
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Minimum of 5 years of research experience in machine learning or AI
- Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
- Proficiency in programming languages such as Python, Java, or C++
- Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proven track record of publications in leading AI conferences and journals
- Excellent analytical, problem-solving, and critical thinking skills
- Strong communication and presentation skills, with the ability to explain complex concepts clearly
- Ability to work both independently and collaboratively in a team-oriented environment
Principal AI Research Scientist - Machine Learning
Posted 19 days ago
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Graduate Research Scientist - AI & Machine Learning
Posted 19 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 19 days ago
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Lead AI Research Scientist - Machine Learning
Posted 19 days ago
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Key Responsibilities:
- Lead the design and execution of AI research projects, focusing on machine learning and deep learning.
- Develop and implement novel algorithms and models for complex problems.
- Mentor and guide a team of AI researchers and engineers.
- Collaborate with product teams to integrate research findings into real-world applications.
- Publish research results in leading academic journals and conferences.
- Stay current with the latest advancements and trends in AI and related fields.
- Design and conduct experiments to validate research hypotheses.
- Analyze large datasets to identify patterns and insights.
- Present research findings to technical and non-technical audiences.
- Contribute to the strategic direction of the company's AI initiatives.
- Ph.D. in Computer Science, Artificial Intelligence, or a related field with a strong focus on machine learning.
- 8+ years of experience in AI research and development.
- Proven experience in leading research teams and projects.
- Expertise in machine learning, deep learning, NLP, and/or computer vision.
- Proficiency in Python and ML/DL frameworks (TensorFlow, PyTorch, etc.).
- Strong publication record in top-tier AI conferences and journals.
- Excellent problem-solving, critical thinking, and communication skills.
- Experience with distributed computing and big data technologies.
- Ability to work independently and collaboratively in a remote setting.