2,946 Data Professionals 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
:
- 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.
Principal Research Scientist (Scientific Research & Development)
Posted 11 days ago
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Senior Research Scientist - Remote Research & Development
Posted 18 days ago
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Responsibilities:
- Lead and conduct advanced scientific research in a designated field.
- Design, develop, and execute complex experiments and research protocols.
- Analyze and interpret large datasets, drawing meaningful conclusions.
- Develop and refine research methodologies and theoretical frameworks.
- Collaborate with internal and external research partners to advance projects.
- Prepare and present research findings through publications, reports, and presentations.
- Stay current with scientific literature, emerging technologies, and industry trends.
- Mentor and guide junior researchers and laboratory staff.
- Contribute to grant writing and funding acquisition efforts.
- Ensure adherence to ethical standards and safety protocols in research.
- Ph.D. in Chemistry, Biology, Physics, Materials Science, Computer Science, or a related scientific discipline.
- Minimum of 6 years of post-doctoral research experience.
- Demonstrated track record of innovative research and peer-reviewed publications.
- Expertise in specific research areas relevant to the client's needs.
- Proficiency in advanced laboratory techniques or computational modeling and simulation tools.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills, with experience presenting complex data.
- Proven ability to lead research projects and work effectively in a remote team environment.
- Experience with data analysis software (e.g., R, Python, MATLAB) is highly desirable.
- Strong understanding of research ethics and scientific integrity.
Junior Data Scientist (Research Focus)
Posted 19 days ago
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Responsibilities:
- Assist in gathering and preprocessing large, complex datasets from various sources.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and implement statistical models and machine learning algorithms under guidance.
- Contribute to the design and execution of data-driven experiments.
- Visualize data and analytical results using various tools and techniques.
- Collaborate with senior data scientists and engineers to refine models and interpret findings.
- Document methodologies, findings, and code clearly and concisely.
- Stay up-to-date with the latest research and advancements in data science and machine learning.
- Participate in team meetings and contribute ideas for new analytical approaches.
- Support the development of data pipelines and analytical workflows.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical principles and machine learning concepts.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication skills, both written and verbal, with the ability to explain technical concepts to a non-technical audience.
- Eagerness to learn and adapt in a fast-paced, remote research environment.
- Previous internship or project experience in data science is a plus.
- Ability to work independently and manage time effectively in a remote setting.
Junior Data Analyst - Research & Development
Posted 19 days ago
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Key Responsibilities:
- Assist senior analysts in collecting, cleaning, and organizing large datasets from various sources.
- Perform basic statistical analysis and data visualization to identify trends and patterns.
- Support the development of reports and presentations summarizing data findings for internal stakeholders.
- Help in the testing and validation of data models and analytical tools.
- Contribute to data quality assurance efforts, ensuring accuracy and integrity of datasets.
- Learn and apply new data analysis techniques and software under the guidance of experienced mentors.
- Participate in team meetings and brainstorming sessions, contributing fresh perspectives.
- Assist in the documentation of data processes, methodologies, and findings.
- Support ad-hoc data requests from different departments.
- Gain practical experience in SQL, Python or R for data manipulation and analysis.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a closely related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in Microsoft Excel and a foundational knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
- Familiarity with programming languages commonly used in data analysis such as Python or R is advantageous.
- Excellent attention to detail and a commitment to data accuracy.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team setting.
- Enthusiasm to learn and a proactive attitude towards new challenges.
- Must be eligible to participate in an internship program.
Junior Data Analyst - Market Research
Posted 19 days ago
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Job Description
Key responsibilities include assisting in the design and execution of market research surveys and data collection processes. You will clean and preprocess large datasets, ensuring data accuracy and integrity. Performing statistical analysis, identifying patterns, and extracting meaningful insights from data will be a core part of your role. You will also contribute to the creation of reports and presentations, visualizing data through charts and graphs to communicate findings effectively to the team. Collaborating with senior analysts and researchers to understand project requirements and deliver timely results is essential. The ideal candidate will possess a Bachelor's degree in Statistics, Mathematics, Economics, Business, or a related quantitative field. Foundational knowledge of statistical analysis and data visualization techniques is required. Proficiency in spreadsheet software (e.g., Excel) and familiarity with data analysis tools or programming languages (e.g., SQL, Python, R) is a strong advantage. Excellent analytical thinking, problem-solving skills, and a keen attention to detail are necessary. Strong written and verbal communication skills, along with the ability to work both independently and collaboratively in a hybrid environment, are crucial. Eagerness to learn and a proactive attitude are highly valued. The **job location** is in Machakos, Machakos, KE , with a hybrid work arrangement.
Junior Data Analyst - Market Research & Insights
Posted 11 days ago
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Job Description
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.
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Principal Data Scientist - Scientific Research
Posted 19 days ago
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Lead Data Scientist, Genomics Research
Posted 19 days ago
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Job Description
Responsibilities:
- Lead the development and application of advanced statistical and machine learning models for genomic data analysis.
- Design and execute bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data.
- Identify and validate genetic variants associated with complex diseases and traits.
- Collaborate with biologists, clinicians, and other researchers to define research questions and hypotheses.
- Develop and implement strategies for data integration from various sources (e.g., clinical, molecular, imaging).
- Mentor junior data scientists and bioinformatics specialists.
- Stay abreast of the latest advancements in genomics, bioinformatics, and data science.
- Present research findings at international conferences and publish in high-impact journals.
- Ensure data integrity, reproducibility, and compliance with ethical guidelines.
- Contribute to grant writing and funding proposals.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
- Minimum of 7 years of experience in data science and bioinformatics, with a focus on genomics.
- Extensive experience with statistical genetics methods and software (e.g., PLINK, GCTA).
- Proficiency in programming languages such as Python or R and their scientific libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
- Experience with NGS data analysis pipelines (e.g., alignment, variant calling, annotation).
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) for large-scale data analysis.
- Strong understanding of molecular biology and genetics.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated leadership experience in a research setting.
- Ability to work effectively in a fully remote, collaborative team environment.
This unique remote opportunity offers the chance to be at the forefront of genomic research. While the specific team is based near Naivasha, Nakuru, KE , this position is entirely remote.
Lead Data Scientist - Scientific Research
Posted 19 days ago
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