231 Data Analysis jobs in Nakuru
Graduate Trainee - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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- Assisting senior data analysts in collecting, cleaning, and organizing large datasets.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Supporting the development and execution of data models and algorithms.
- Creating data visualizations and dashboards to communicate findings.
- Contributing to the generation of reports and presentations on data insights.
- Collaborating with team members on data-related projects and initiatives.
- Learning and applying statistical analysis techniques.
- Assisting in the documentation of data processes and methodologies.
- Participating in training sessions and seeking opportunities for continuous learning.
- Supporting ad-hoc data requests from various departments.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Basic knowledge of programming languages like Python or R is an advantage.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail and accuracy.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and a proactive approach to acquiring new skills.
- Team player with good interpersonal skills.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development of data models and algorithms.
- Create visualizations and reports to communicate findings to stakeholders.
- Assist in conducting statistical analysis and interpretation.
- Learn and apply data analysis tools and techniques.
- Collaborate with senior analysts and team members on data projects.
- Maintain data integrity and accuracy.
- Contribute to the continuous improvement of data analysis processes.
- Stay updated on emerging trends in data analytics.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Proficiency in Microsoft Excel.
- Familiarity with statistical concepts and methods.
- Enthusiasm for data and a strong desire to learn.
- Good communication and interpersonal skills.
- Ability to work independently and collaboratively in a remote environment.
- Basic knowledge of programming languages (e.g., Python, R) or SQL is a plus.
Junior Graduate Trainee - Data Analysis
Posted today
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Responsibilities:
- Assist in data collection, cleaning, and preparation for analysis.
- Perform basic data analysis and generate reports under supervision.
- Create data visualizations to present findings.
- Support senior analysts in various data-driven projects.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with team members in a virtual setting.
- Contribute to documentation of data processes and findings.
- Identify opportunities for process improvement in data handling.
- Participate in team meetings and training sessions.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong understanding of basic statistical concepts.
- Proficiency in Microsoft Excel; familiarity with data analysis tools (e.g., Python, R, SQL, Tableau) is a plus.
- Excellent analytical and problem-solving skills.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Demonstrated interest in data analysis or business intelligence.
Remote Graduate Trainee - Data Analysis
Posted today
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Agronomist - Remote Data Analysis & Consultation
Posted 2 days ago
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Graduate Trainee Program - Data Analysis
Posted 2 days ago
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Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends and patterns.
- Develop data visualizations to present findings in a clear and understandable manner.
- Support senior analysts in generating reports and conducting ad-hoc data analysis.
- Learn and apply SQL for data extraction and manipulation.
- Gain proficiency in programming languages such as Python or R for data analysis.
- Participate in team meetings and contribute to project discussions.
- Assist in developing and maintaining data models and databases.
- Learn to use data visualization tools like Tableau or Power BI.
- Adhere to data privacy and security policies.
- Complete assigned training modules and projects to develop analytical skills.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- A keen interest in data analysis and a willingness to learn new tools and technologies.
- Excellent communication and interpersonal skills.
- Ability to work independently and collaboratively in a remote environment.
- Familiarity with programming languages like Python or R is a plus.
- Eagerness to learn and adapt in a fast-paced setting.
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Remote Research Scientist - Data Analysis
Posted 2 days ago
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Responsibilities:
- Design and implement data analysis plans for research projects.
- Perform complex statistical analyses and build predictive models.
- Clean, preprocess, and transform large datasets.
- Interpret research findings and translate them into actionable insights.
- Develop and utilize algorithms for data mining and machine learning.
- Create compelling data visualizations to communicate complex results.
- Collaborate remotely with cross-functional research teams.
- Write technical reports, research papers, and presentations.
- Stay abreast of the latest advancements in data science and relevant scientific fields.
- Ensure the integrity and accuracy of all data analysis performed.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, Mathematics, or a related discipline.
- Proven experience in scientific research and data analysis.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages like Python or R.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Strong analytical and critical thinking skills.
- Excellent written and verbal communication skills for scientific reporting.
- Ability to work independently and manage research timelines in a remote setting.
- Demonstrated ability to solve complex scientific problems using data.
- Publications in peer-reviewed journals are a strong asset.
Senior Geologist - Remote Sensing & Data Analysis
Posted 1 day ago
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Principal Mining Geologist - Remote Data Analysis
Posted 1 day ago
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