563 Data Analysis Tools jobs in Kenya
Remote Senior Clinical Research Associate (Data Management)
Posted 8 days ago
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Location: While this role is fully remote, candidates with an understanding of the pharmaceutical research ecosystem in areas like Kakamega, Kakamega, KE may find it beneficial for contextual insights.
Graduate Trainee - Data Science & Analytics
Posted 4 days ago
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Job Description
Program Highlights:
- Engage in real-world data projects, applying theoretical knowledge to practical business challenges.
- Receive in-depth training on industry-standard data science tools and programming languages (e.g., Python, R, SQL).
- Learn to perform data cleaning, transformation, and exploratory data analysis.
- Develop and implement predictive models and machine learning algorithms.
- Create insightful data visualizations and dashboards to communicate findings effectively.
- Collaborate with experienced data scientists and analysts, receiving mentorship and guidance.
- Participate in team meetings, contributing fresh perspectives and learning from seasoned professionals.
- Understand data governance principles and best practices for data management.
- Develop strong communication skills to present analytical results to technical and non-technical audiences.
- Work effectively within a remote team structure, utilizing collaboration tools and maintaining proactive communication.
Graduate Trainee - Data Science & Analytics
Posted 5 days ago
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Job Description
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and processing large datasets.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development and implementation of machine learning models under guidance.
- Create data visualizations and reports to communicate findings to stakeholders.
- Contribute to data quality assurance and validation efforts.
- Learn and apply various data analysis and statistical techniques.
- Participate in team meetings and contribute to project discussions.
- Assist in the documentation of data processes and methodologies.
- Develop proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Gain exposure to cloud platforms and big data technologies.
- This fully remote internship will provide exposure to diverse data challenges, including those relevant to organizations operating in and around Nakuru, Nakuru, KE , without requiring physical presence.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and machine learning algorithms.
- Familiarity with programming languages such as Python or R is essential.
- Experience with SQL for database querying is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and a proactive attitude towards tackling new challenges.
- Strong attention to detail and commitment to data accuracy.
- Previous internship or project experience in data analysis is advantageous.
Graduate Trainee - Data Science & Analytics
Posted 7 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement data visualizations to communicate insights effectively.
- Support the development and testing of machine learning models.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply statistical analysis techniques.
- Contribute to the documentation of data processes and findings.
- Participate in team meetings and present project updates.
- Adhere to company policies and best practices in data handling and security.
- Engage in continuous learning and professional development within the data science field.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language such as Python or R.
- Familiarity with data analysis libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of machine learning concepts is a plus.
- Excellent communication and interpersonal skills.
- Eagerness to learn and adapt in a dynamic environment.
- Ability to work effectively both independently and as part of a team in a hybrid setting.
- Strong attention to detail and commitment to producing high-quality work.
Graduate Trainee - Data Science & Analytics
Posted 8 days ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and pre-processing from various sources.
- Support the development and implementation of statistical models and machine learning algorithms.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Create data visualizations and reports to communicate findings to stakeholders.
- Collaborate with senior team members on data-driven projects.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to problem-solving discussions.
- Develop an understanding of business objectives and how data can drive strategic initiatives.
- Adhere to data privacy and security best practices.
- Complete assigned training modules and actively seek opportunities for learning and development.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong academic record with a demonstrated understanding of statistical concepts and analytical methods.
- Basic proficiency in at least one programming language commonly used in data science (e.g., Python, R) is preferred.
- Familiarity with SQL for database querying is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Eagerness to learn and adapt in a fast-paced, remote environment.
- Ability to work independently and manage time effectively.
- Genuine interest in data science, machine learning, and business intelligence.
- Located within or having an affinity for the region of Nakuru, Nakuru, KE is considered beneficial for team integration.
Graduate Trainee - Data Science & Analytics
Posted 8 days ago
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Job Description
Graduate Trainee - Data Science & Analytics
Posted 8 days ago
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Job Description
Key learning and development areas will include:
- Developing foundational skills in data manipulation, cleaning, and preparation using various programming languages (e.g., Python, R).
- Learning to design and implement statistical models and machine learning algorithms.
- Gaining experience with data visualization tools to communicate complex findings effectively.
- Working with large datasets and databases, including SQL.
- Understanding data warehousing concepts and ETL processes.
- Collaborating with cross-functional teams to define data requirements and analytical approaches.
- Assisting in the development of predictive models and dashboards.
- Participating in code reviews and learning best practices in software development for data science.
- Exploring advanced topics such as deep learning, natural language processing, or big data technologies.
- Contributing to A/B testing and experimental design.
- Documenting methodologies, findings, and recommendations.
- Presenting project outcomes to team members and stakeholders.
- Gaining exposure to cloud computing platforms for data analytics.
- Troubleshooting data-related issues and ensuring data integrity.
This program is ideal for individuals with a strong quantitative aptitude and a passion for data. Candidates should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a closely related field. Prior exposure to programming languages like Python or R and basic knowledge of statistical concepts are required. Excellent problem-solving skills, a curious mindset, and the ability to learn quickly in a remote environment are essential. Strong communication and teamwork skills are also important, as trainees will collaborate extensively with remote colleagues. This is a fully remote internship, offering flexibility and the opportunity to gain invaluable industry experience.
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Graduate Trainee - Data Science & Analytics
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Assist experienced data scientists and analysts in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and reports to communicate findings.
- Participate in team meetings and contribute to project discussions.
- Learn and apply statistical analysis techniques.
- Assist in testing and validating data models and outputs.
- Maintain accurate documentation of data processes and analysis.
- Adhere to data privacy and security policies.
- Contribute to a collaborative and innovative team environment.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong academic record with a demonstrated interest in data analysis and modeling.
- Basic proficiency in programming languages such as Python or R.
- Familiarity with data analysis concepts and tools is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail.
- Ability to work independently and as part of a remote team.
- Good communication and interpersonal skills.
- Eagerness to learn and adapt to new technologies.
Graduate Trainee - Data Science & Analytics
Posted 8 days ago
Job Viewed
Job Description
Throughout this program, trainees will be exposed to a wide range of analytical techniques and tools. They will learn to collect, clean, and transform large datasets, identify trends and patterns, build predictive models, and communicate insights effectively to both technical and non-technical audiences. The curriculum includes training in programming languages such as Python and R, database management, and the use of business intelligence platforms. This is a unique chance to gain practical experience in a fast-paced, innovative setting, guided by industry experts.
We are looking for enthusiastic, curious, and highly motivated individuals with a strong academic background and a passion for data. Successful candidates will demonstrate excellent analytical and problem-solving skills, a keen eye for detail, and a proactive attitude towards learning and development. The ability to collaborate effectively in a virtual team setting and adapt to new challenges is crucial. This program is a stepping stone to a rewarding career in data science, offering significant growth potential within our client's organization.
Location: This internship is a fully remote opportunity, providing flexibility for trainees worldwide. While our client has operational hubs including in Ruiru, Kiambu, KE , this position does not require any physical presence at these sites.
Program Focus:
- Data Cleaning, Preprocessing, and Feature Engineering.
- Exploratory Data Analysis (EDA) and Statistical Modeling.
- Machine Learning Algorithm Development (e.g., regression, classification, clustering).
- Data Visualization and Reporting using tools like Tableau or Power BI.
- Database querying using SQL.
- Programming in Python and/or R for data analysis.
- Understanding business problems and translating them into data science solutions.
- Collaborating with cross-functional teams in a remote environment.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong foundational knowledge in statistics, mathematics, and programming concepts.
- Familiarity with Python or R is highly desirable.
- Experience with SQL is a plus.
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Demonstrated ability to learn quickly and work independently.
- A genuine passion for data and its potential to drive business value.
- Must be legally eligible to work remotely.
Graduate Trainee - Data Science & Analytics
Posted 8 days ago
Job Viewed