13 Graduate Trainee Data Analysis jobs in whatjobs
Graduate Trainee - Data Analysis
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Responsibilities:
- Assist in collecting, cleaning, and validating data from various sources.
- Perform basic statistical analysis under the guidance of senior analysts.
- Help develop and maintain databases and data models.
- Create reports and visualizations to communicate findings.
- Support the data science team in ongoing projects.
- Learn and apply data analysis tools and methodologies.
- Identify trends and patterns in data sets.
- Contribute to data quality improvement initiatives.
- Participate in team meetings and training sessions.
- Recent graduate with a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with SQL and database concepts is desirable.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Effective written and verbal communication skills.
- Ability to work independently, manage time, and meet deadlines in a remote setting.
- Eagerness to learn and a passion for data.
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Graduate Trainee - Data Analysis
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Is this job a match or a miss?
Graduate Trainee - Data Analysis
Posted today
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Job Description
Key responsibilities include:
- Assisting senior analysts in data collection and data cleaning processes.
- Performing basic data analysis using statistical software and tools.
- Identifying patterns and trends within datasets.
- Creating reports and visualizations to present findings.
- Supporting the development of dashboards and metrics.
- Learning and applying data analysis best practices and methodologies.
- Collaborating with team members on data-related projects.
- Documenting data analysis processes and findings.
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Graduate Trainee - Data Analysis
Posted today
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Job Description
Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform preliminary data analysis to identify trends, patterns, and anomalies.
- Support senior analysts in developing reports, dashboards, and visualizations.
- Contribute to data quality checks and validation processes.
- Learn and apply various data analysis techniques and tools.
- Assist in gathering requirements for data analysis projects.
- Collaborate with team members on data-related tasks.
- Maintain accurate and organized data records.
- Support ad-hoc data analysis requests.
- 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 analytical and problem-solving skills.
- Attention to detail and accuracy in data handling.
- Basic understanding of statistical concepts and methods.
- Proficiency in Microsoft Excel or Google Sheets.
- Familiarity with SQL, Python (Pandas, NumPy), or R is a strong plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and develop new skills in data analysis.
- Proactive attitude and strong work ethic.
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Graduate Trainee - Data Analysis
Posted today
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- Assisting in the collection, cleaning, and organization of large datasets from various sources.
- Performing data exploration and preliminary analysis to identify trends and patterns.
- Utilizing data visualization tools (e.g., Tableau, Power BI) to create insightful reports and dashboards.
- Supporting senior analysts in statistical analysis and model building.
- Learning and applying various data manipulation techniques using tools like SQL, Python, or R.
- Collaborating with team members on data-related projects and initiatives.
- Documenting data processes and findings.
- Participating in training sessions and workshops to enhance analytical skills.
- Contributing to the development of data-driven solutions.
- A recent Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related discipline.
- Strong analytical and problem-solving abilities.
- A foundational understanding of statistical concepts and data analysis principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
- Excellent written and verbal communication skills.
- Demonstrated ability to learn quickly and adapt to new technologies.
- Strong work ethic and a proactive approach to learning and task completion.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for data and a desire to build a career in data analysis.
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Graduate Trainee - Data Analysis
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Graduate Trainee - Data Analysis
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Program Highlights:
- Work closely with experienced data analysts and scientists on diverse projects.
- Learn to collect, clean, and process large datasets from various sources.
- Develop skills in data visualization techniques to communicate insights effectively.
- Assist in building and testing statistical models and machine learning algorithms.
- Contribute to generating reports and dashboards for business stakeholders.
- Gain exposure to different analytical tools and programming languages (e.g., Python, R, SQL).
- Participate in workshops and training sessions focused on data analytics and business intelligence.
- Receive mentorship from senior team members to guide your career growth.
- Understand the practical application of data analysis in different business functions.
- Recent graduates with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- A strong academic record demonstrating analytical and problem-solving abilities.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with at least one programming language (Python or R preferred) is a plus.
- Excellent attention to detail and a methodical approach to work.
- Strong communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote setting.
- Must be eager to learn and adapt to new technologies and methodologies.
- Must be based within Kenya and able to work remotely from Embu, Embu, KE .
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Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Is this job a match or a miss?
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Is this job a match or a miss?
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, organizing, and managing data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and accuracy.
- Conduct basic data analysis to identify trends, patterns, and insights.
- Support senior analysts in developing reports and dashboards.
- Learn and utilize data analysis tools such as Excel, SQL, and Python libraries (e.g., Pandas).
- Contribute to data visualization efforts to communicate findings effectively.
- Participate in team meetings and discussions related to data projects.
- Assist in documenting data processes and methodologies.
- Develop an understanding of business objectives and how data can support them.
- Gain exposure to various analytical techniques and their applications.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and critical thinking skills.
- Proficiency in Microsoft Excel.
- Familiarity with data analysis concepts.
- Excellent 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.
- Basic understanding of programming languages like Python or R is a plus.
- A genuine interest in data and its potential to drive business value.
Is this job a match or a miss?