2,208 Junior Data Analyst Intern jobs in Kenya

• 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.

• Assist in the collection and organization of diverse datasets.
• Perform data cleaning and pre-processing tasks.
• Conduct preliminary statistical analysis under supervision.
• Help in the creation of charts, graphs, and data visualizations.
• Contribute to the preparation of research reports and presentations.
• Support senior analysts in various data-related projects.
• Learn and apply data analysis methodologies and tools.
• Maintain data integrity and accuracy throughout the analysis process.
• Participate in team meetings and contribute ideas.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with database concepts or basic SQL is a plus.
• Eagerness to learn new tools and techniques.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A proactive and detail-oriented approach to tasks.

• Assist in data collection, cleaning, and preprocessing.
• Perform descriptive statistical analysis and generate basic reports.
• Create data visualizations to illustrate findings and trends.
• Conduct literature searches and summarize research findings.
• Support senior team members in data-driven projects.
• Maintain organized and accurate data records.
• Collaborate effectively with remote team members.
• Contribute to the development of research methodologies.
• Learn and apply new data analysis techniques and tools.

• Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel for data analysis.
• Familiarity with statistical software (e.g., R, Python) is a plus.
• Excellent attention to detail and accuracy.
• Strong written and verbal communication skills for remote interaction.
• Ability to work independently and manage workload in a remote setting.
• Eagerness to learn and develop data analysis skills.
• Passion for research and problem-solving.

• Collect, clean, and process large sports-related datasets.
• Develop and apply statistical models to analyze player and team performance.
• Create predictive models for game outcomes, player development, and strategic planning.
• Visualize data and present findings through reports, dashboards, and presentations.
• Collaborate with coaches, athletes, and management to provide data-driven insights.
• Identify trends and patterns in sports data to inform decision-making.
• Stay updated on the latest advancements in sports analytics techniques and technologies.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of new analytical tools and methodologies.
• Communicate complex analytical concepts to diverse audiences.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of SQL and database management.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical concepts and machine learning techniques.
• Deep knowledge and passion for one or more sports.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work independently and manage projects in a remote environment.

• Develop and execute a comprehensive people analytics strategy aligned with business objectives.
• Design and implement advanced analytical models to assess key HR metrics such as talent acquisition, employee engagement, retention, performance, and diversity & inclusion.
• Extract, clean, transform, and analyze large datasets from various HR systems (HRIS, ATS, LMS, etc.).
• Utilize statistical software (e.g., R, Python) and advanced Excel techniques for data analysis and modeling.
• Create compelling dashboards and visualizations using tools like Tableau, Power BI, or similar platforms.
• Interpret analytical findings and translate them into actionable insights and strategic recommendations for HR and business leaders.
• Conduct predictive modeling to forecast workforce trends and identify potential risks and opportunities.
• Partner with HRBPs and business leaders to understand their analytical needs and provide tailored solutions.
• Ensure data privacy and security compliance in all people analytics activities.
• Stay current with the latest trends and best practices in people analytics, HR technology, and data science.
• Develop and maintain documentation for analytical processes, methodologies, and data dictionaries.
• Present findings and recommendations to diverse audiences, including senior executives.
• Champion a data-driven culture across the organization.
• Mentor junior analysts and contribute to the growth of the people analytics function.

• Master's degree in Statistics, Data Science, Industrial-Organizational Psychology, Human Resources, or a related quantitative field.
• Minimum of 7-9 years of progressive experience in people analytics, HR analytics, or a related data analysis role.
• Proven experience with statistical modeling, predictive analytics, and machine learning techniques applied to HR data.
• Expertise in HRIS systems (e.g., Workday, SAP SuccessFactors) and data extraction methods.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Strong programming skills in R, Python, or SQL for data manipulation and analysis.
• Excellent understanding of HR principles and key HR metrics.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Outstanding written and verbal communication skills, with the ability to present complex data clearly and persuasively.
• Demonstrated ability to work effectively independently and as part of a remote, collaborative team.

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:

1. Data Collection and Analysis
   :

2. Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.

3. 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
:

• 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
:

• 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
:

• 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
:

• Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.

5.Communication Skills
:

• Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.

6.Attention to Detail
:

• High level of precision in handling large data sets and ensuring data accuracy.

7.Project Management
:

• 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.

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze sports performance data.
• Collect, clean, and process large datasets from various sources, including performance tracking, video analysis, and biometric sensors.
• Identify key performance indicators (KPIs) and develop dashboards to visualize trends and insights for coaches, athletes, and management.
• Provide objective, data-backed recommendations to improve player development, training regimens, and tactical decision-making.
• Conduct in-depth analysis of opponent strategies and identify competitive advantages.
• Collaborate closely with coaching staff and athletes to understand their needs and deliver tailored analytical support.
• Stay current with the latest trends and technologies in sports analytics and data science.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
• Mentor and guide junior analysts, fostering a culture of continuous learning and improvement.
• Manage the deployment and maintenance of analytics platforms and tools.
• Ensure data integrity and privacy across all analytical processes.

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• At least 5 years of professional experience in sports analytics or a closely related field.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Deep understanding of various sports and their performance metrics.
• Excellent problem-solving and critical thinking abilities.
• Strong presentation and communication skills, with the ability to translate complex data into understandable insights.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Experience with SQL and database management.
• Knowledge of sports performance tracking systems is a plus.