4,390 IT Analyst jobs in Kenya
Graduate Data Analyst
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Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in Python or R for data analysis.
- Basic knowledge of SQL and database management.
- Excellent problem-solving abilities and attention to detail.
- Effective communication skills for remote collaboration.
- Eagerness to learn and adapt in a fast-paced environment.
- Demonstrated interest in data science and analytics.
Junior Data Analyst
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Key Responsibilities:
- Assist in data collection and cleaning processes.
- Perform basic data analysis and interpretation.
- Create reports and data visualizations.
- Support senior analysts with data-related tasks.
- Identify trends and patterns in datasets.
- Maintain data integrity and accuracy.
Qualifications:
- Currently pursuing a Bachelor's degree in a quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Familiarity with data analysis tools or programming languages is a plus.
- Excellent written and verbal communication skills.
Graduate Data Analyst
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Graduate Data Analyst
Posted today
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement data visualizations to communicate findings effectively.
- Support the creation of reports and dashboards for business stakeholders.
- Collaborate with senior team members on data-driven projects.
- Learn and apply statistical methods for data analysis.
- Contribute to the documentation of data processes and findings.
- Participate in team meetings and provide insights during project discussions.
- Develop skills in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI).
- Assist in testing and validating data models and analytical outputs.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Proficiency in SQL for data querying.
- Basic knowledge of a programming language such as Python or R is preferred.
- Familiarity with data visualization tools is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- 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.
Graduate Data Analyst
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Graduate Data Analyst
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Senior Data Analyst
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Key Responsibilities:
- Collect, clean, and process large datasets from various sources.
- Perform in-depth data analysis to identify patterns, trends, and anomalies.
- Develop and implement data models and algorithms for predictive analytics.
- Create compelling data visualizations and dashboards to communicate findings to technical and non-technical audiences.
- Translate complex data findings into actionable business insights and recommendations.
- Collaborate with cross-functional teams to define key performance indicators (KPIs) and track progress.
- Develop and maintain documentation for data processes, methodologies, and reports.
- Ensure data accuracy, consistency, and integrity throughout the analysis process.
- Stay up-to-date with the latest data analysis techniques, tools, and technologies.
- Provide guidance and mentorship to junior data analysts.
- Identify opportunities for process automation and efficiency improvements in data analysis workflows.
- Present findings and recommendations to senior leadership.
- Conduct A/B testing and statistical analysis to evaluate business initiatives.
- Contribute to the development of data governance policies and standards.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Minimum of 5 years of experience in data analysis or a similar role.
- Proficiency in SQL for data extraction and manipulation.
- Expertise in statistical programming languages such as Python or R.
- Strong experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Solid understanding of statistical concepts and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Experience working with large datasets and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
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Junior Data Analyst
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Key responsibilities will involve collecting, cleaning, and organizing data from various sources. You will perform basic data analysis to identify trends, patterns, and insights. Creating reports, dashboards, and visualizations using tools like Excel, SQL, and potentially BI software (e.g., Tableau, Power BI) will be a core part of your role. Assisting in the development of data models and contributing to data-driven decision-making processes will be encouraged. You will support the team in ad-hoc data requests and contribute to the continuous improvement of data management processes. Learning and applying new analytical techniques and tools will be an integral part of your development.
The ideal candidate should be pursuing or have recently completed a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Foundational knowledge of statistical concepts and data analysis principles is required. Proficiency in Microsoft Excel is essential, and familiarity with SQL for database querying is a strong advantage. Experience with at least one programming language (e.g., Python, R) for data analysis is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are paramount. Strong communication skills, attention to detail, and the ability to work independently in a remote setting are crucial. This internship offers a fantastic platform to launch your career in data analytics with a supportive and innovative company.
Graduate Data Analyst
Posted today
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical techniques and identify trends, patterns, and anomalies.
- Develop and implement data models and databases for data analysis.
- Create reports, dashboards, and visualizations to communicate findings effectively to both technical and non-technical audiences.
- Support the development of data-driven strategies and recommendations.
- Collaborate with team members to understand data requirements and project objectives.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to brainstorming sessions.
- Assist in identifying opportunities for process improvements in data management and analysis.
- Maintain data integrity and accuracy throughout the analysis process.
- Gain practical experience in business intelligence and data warehousing concepts.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of at least one programming language commonly used in data analysis (e.g., Python, R) is preferred.
- Proficiency in Microsoft Excel.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and collaboratively in a remote team setting.
- Strong organizational skills and the ability to manage multiple tasks.
- A passion for data and a desire to build a career in analytics.
This remote internship provides an unparalleled opportunity to gain practical experience and develop essential skills in a supportive and growth-oriented environment. Apply now to launch your data analytics career!