2,311 Big Data Technologies 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
:
- 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
:
- 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
:
- 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
:
- 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.
Junior Data Analyst - Market Research
Posted 20 days ago
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Principal Research Scientist (Scientific Research & Development)
Posted 12 days ago
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Junior Data Analyst - Market Research & Insights
Posted 12 days ago
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Responsibilities:
- Assist in collecting and organizing data from various internal and external sources, including surveys, databases, and public records.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conduct preliminary data analysis using statistical methods and software tools.
- Help generate reports and visualizations to present data findings to the team.
- Support senior analysts in developing market research methodologies and survey instruments.
- Identify trends, patterns, and anomalies within datasets and flag them for further investigation.
- Learn and apply new analytical techniques and tools as required.
- Contribute to the documentation of data sources, methodologies, and findings.
- Collaborate with team members remotely to discuss project progress and findings.
- Assist in preparing presentations summarizing research insights.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools such as Excel, and basic knowledge of SQL, Python, or R is a plus.
- Strong analytical and problem-solving skills with a high level of attention to detail.
- Excellent written and verbal communication skills, with the ability to clearly articulate findings.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in market research and data-driven decision-making.
- Proactive and able to take initiative on assigned tasks.
Junior Data Analyst & Research Assistant (Remote)
Posted 1 day ago
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Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform descriptive statistical analysis and generate basic reports.
- Create data visualizations to illustrate findings and trends.
- Conduct literature searches and summarize research findings.
- Support senior team members in data-driven projects.
- Maintain organized and accurate data records.
- Collaborate effectively with remote team members.
- Contribute to the development of research methodologies.
- Learn and apply new data analysis techniques and tools.
- Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel for data analysis.
- Familiarity with statistical software (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills for remote interaction.
- Ability to work independently and manage workload in a remote setting.
- Eagerness to learn and develop data analysis skills.
- Passion for research and problem-solving.
Remote Junior Data Analyst - Market Research
Posted 20 days ago
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Job Description
Responsibilities:
- Assist in the collection and organization of diverse datasets.
- Perform data cleaning and pre-processing tasks.
- Conduct preliminary statistical analysis under supervision.
- Help in the creation of charts, graphs, and data visualizations.
- Contribute to the preparation of research reports and presentations.
- Support senior analysts in various data-related projects.
- Learn and apply data analysis methodologies and tools.
- Maintain data integrity and accuracy throughout the analysis process.
- Participate in team meetings and contribute ideas.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with database concepts or basic SQL is a plus.
- Eagerness to learn new tools and techniques.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A proactive and detail-oriented approach to tasks.
AI Research Engineer - Machine Learning Optimization
Posted 15 days ago
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Key Responsibilities:
- Conduct fundamental research in machine learning, focusing on algorithm design and optimization.
- Develop and implement novel deep learning models and optimization techniques.
- Analyze and interpret experimental results, identifying areas for improvement.
- Benchmark and evaluate the performance of AI models on large-scale datasets.
- Collaborate with a remote team of researchers and engineers to advance AI capabilities.
- Optimize ML models for deployment on various platforms, considering computational constraints.
- Stay abreast of the latest research and trends in AI and machine learning.
- Contribute to technical documentation, research papers, and conference presentations.
- Prototype and test new AI solutions, assessing their feasibility and impact.
- Participate in code reviews and knowledge sharing sessions within the research team.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical foundation in machine learning, statistical modeling, and optimization.
- Proven experience in developing and implementing deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities for technical documentation and presentations.
- Ability to work independently and effectively in a remote team environment.
- Demonstrated experience with published research or contributions to open-source AI projects is highly desirable.
- Familiarity with cloud platforms (AWS, GCP, Azure) for ML workloads.
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AI Research Engineer - Machine Learning Models
Posted 20 days ago
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Senior AI Research Engineer (Machine Learning)
Posted 20 days ago
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Senior AI Research Engineer - Machine Learning Platforms
Posted 9 days ago
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Responsibilities:
- Conduct research and development on advanced machine learning and deep learning algorithms.
- Design, build, and deploy scalable ML models and platforms.
- Optimize the performance and efficiency of AI systems.
- Analyze large, complex datasets to extract meaningful insights and drive model improvements.
- Develop and implement novel approaches to solve challenging AI problems.
- Collaborate with other engineers and researchers in a remote team environment.
- Stay current with the latest research and advancements in AI and machine learning.
- Contribute to the development of AI infrastructure and tooling.
- Document research findings, methodologies, and code.
- Present research results and technical proposals to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in AI research and development, with a focus on machine learning.
- Proven experience in developing and deploying deep learning models using frameworks like TensorFlow or PyTorch.
- Strong programming skills in Python and experience with relevant libraries (NumPy, Pandas, Scikit-learn).
- Familiarity with big data technologies (e.g., Spark) and cloud platforms (AWS, Azure, GCP).
- Excellent understanding of statistical modeling, data mining, and algorithm design.
- Strong analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and collaboration skills for a remote work setting.
- Demonstrated ability to work independently and drive research projects forward.