What Jobs are available for Junior Data Analyst Remote Entry Level in Kenya?
Showing 4271 Junior Data Analyst Remote Entry Level jobs in Kenya
Junior Data Analyst - Remote Entry Level
Posted 25 days ago
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Job Description
As a Junior Data Analyst, you will be responsible for assisting senior analysts in collecting, cleaning, and interpreting complex datasets. You will help identify trends, patterns, and insights that can inform business decisions. This involves working with various data sources, performing exploratory data analysis, and contributing to the creation of reports and visualizations. You will learn to use data analysis tools and techniques to extract meaningful information and communicate findings effectively.
Key responsibilities include:
- Assisting in the collection and compilation of data from various sources.
- Performing data cleaning and preprocessing to ensure data accuracy and consistency.
- Conducting exploratory data analysis to identify trends and patterns.
- Supporting the creation of reports, dashboards, and visualizations to present data findings.
- Collaborating with team members on data-related projects.
- Learning and applying statistical methods and data analysis techniques.
- Documenting data sources, methodologies, and findings.
- Assisting in the maintenance and organization of data repositories.
- Participating in team meetings and contributing to discussions on data insights.
- Developing an understanding of business objectives and how data supports them.
The ideal candidate should have completed or be pursuing a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Strong analytical and problem-solving skills are essential. Familiarity with spreadsheet software (e.g., Microsoft Excel) is required. Basic knowledge of SQL or any programming language (e.g., Python, R) is a plus. Excellent attention to detail and a willingness to learn are critical for success in this role. Strong written and verbal communication skills will be needed to convey findings to the team. This is a remote position, allowing you to work from anywhere in Kenya. While the role is remote, it is in support of operations generally located in **Mombasa, Mombasa, KE**.
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Junior Data Analyst (Remote Entry-Level)
Posted today
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data analysis using statistical methods and data visualization tools.
- Generate reports and dashboards to communicate findings to stakeholders.
- Identify trends, patterns, and insights within datasets to support business decision-making.
- Collaborate with senior analysts and team members on data-related projects.
- Develop and maintain documentation for data processes and methodologies.
- Support the development and testing of new analytical models.
- Learn and apply new data analysis techniques and tools.
- Contribute to ad-hoc data requests and analysis as needed.
- Ensure data accuracy and integrity throughout the analysis process.
- Recent graduate with a Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong foundational knowledge of data analysis principles and techniques.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
- Familiarity with at least one data analysis or statistical programming language (e.g., Python with Pandas, R) is a plus.
- Basic understanding of database concepts and SQL is beneficial.
- Excellent analytical and problem-solving skills with a meticulous attention to detail.
- Good communication skills, both written and verbal, for presenting findings.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- A proactive attitude and a passion for uncovering insights from data.
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Junior Data Analyst - Remote Entry-Level Opportunity
Posted 24 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis using statistical methods and software.
- Identify patterns, trends, and correlations within datasets.
- Create clear and concise data visualizations, such as charts and graphs, to communicate findings.
- Prepare reports and summaries of data analysis results for review.
- Collaborate with senior analysts and team members on ongoing projects.
- Learn and apply new data analysis techniques and tools.
- Ensure data integrity and accuracy throughout the analysis process.
- Participate in team meetings and contribute to discussions on data-related challenges.
- Support the development of dashboards and reporting tools.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools such as Excel, SQL, or introductory Python/R is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and commitment to accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Proactive attitude and a strong desire to contribute.
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Senior Sports Analytics Consultant - Remote
Posted 3 days ago
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Job Description
Responsibilities:
- Develop and implement advanced statistical models and analytical frameworks for sports performance data.
- Analyze player statistics, game footage, and biometric data to identify trends and insights.
- Provide strategic recommendations to coaches and management on team strategy, player development, and scouting.
- Utilize data visualization tools to present complex analytical findings in a clear and understandable format.
- Collaborate with sports teams to define key performance indicators (KPIs) and track progress towards goals.
- Conduct research on emerging trends and technologies in sports analytics.
- Develop predictive models for player performance, injury risk, and game outcomes.
- Work with clients to understand their unique challenges and tailor analytical solutions.
- Contribute to the development of proprietary analytical tools and methodologies.
- Communicate complex findings effectively to both technical and non-technical stakeholders.
- Stay abreast of the latest developments in sports science, data analytics, and performance metrics.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, data science, or a related field.
- Proven experience working with large datasets and advanced statistical modeling techniques.
- Proficiency in programming languages such as Python or R, and data manipulation tools (e.g., SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports performance metrics and game dynamics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex information clearly.
- Experience working in a remote team setting and collaborating effectively across distances.
- A passion for sports and a desire to leverage data to improve athletic performance and business outcomes.
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Junior Data Analyst - Remote Business Intelligence
Posted 16 days ago
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Senior Sports Analytics Consultant - Remote Performance Analyst
Posted 8 days ago
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Job Description
Responsibilities:
- Collect, clean, and analyze diverse sports-related datasets.
- Develop and implement advanced statistical models and machine learning algorithms.
- Create compelling data visualizations to illustrate key findings and trends.
- Provide actionable insights to improve athletic performance, strategy, and player development.
- Collaborate with coaches, athletes, and management to understand their analytical needs.
- Identify opportunities for data-driven innovation within sports operations.
- Develop custom reports and dashboards for performance tracking.
- Stay abreast of the latest advancements in sports analytics and data science.
- Contribute to the development of analytical tools and platforms.
- Communicate complex analytical findings effectively to diverse audiences.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 7 years of experience in data analysis and analytics, with a significant focus on sports analytics.
- Proficiency in statistical modeling, machine learning, and data visualization techniques.
- Experience with programming languages such as Python or R, and SQL.
- Strong understanding of sports performance metrics and data sources.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex data clearly.
- Demonstrated ability to work independently and collaboratively in a remote environment.
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Graduate Data Analyst - Remote Business Intelligence
Posted 16 days ago
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Job Description
Key responsibilities include:
- Assisting in the collection and consolidation of data from various sources.
- Performing data cleaning and pre-processing to ensure data accuracy and integrity.
- Conducting exploratory data analysis to identify trends, patterns, and anomalies.
- Supporting the development of reports and dashboards using BI tools (e.g., Tableau, Power BI).
- Learning to apply statistical techniques to analyze data and generate insights.
- Collaborating with senior analysts on data modeling and interpretation.
- Documenting data sources, methodologies, and findings.
- Troubleshooting data discrepancies and resolving issues under supervision.
- Participating in team meetings and knowledge-sharing sessions.
- Gaining exposure to different analytical tools and programming languages (e.g., SQL, Python).
- Supporting ad-hoc data requests from various departments.
- Contributing to the continuous improvement of data processes and reporting.
To be considered for this role, you should be a recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong analytical mindset, excellent problem-solving skills, and a keen eye for detail are essential. Basic knowledge of data analysis principles and statistical concepts is required. Familiarity with data visualization tools and/or programming languages like SQL, Python, or R is a significant advantage. Excellent communication and interpersonal skills, coupled with the ability to work effectively in a remote team environment, are crucial. This is an exceptional opportunity to kickstart your career in data analytics, learning valuable skills and contributing to impactful projects in a fully remote setting, all while being part of a team that impacts decisions from Bungoma, Bungoma, KE .
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Junior Data Analyst - Remote Analytics & Insights
Posted 24 days ago
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Job Description
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform basic data analysis to identify trends, patterns, and anomalies.
- Create clear and concise data visualizations, charts, and graphs to communicate findings.
- Support senior analysts in generating regular reports and dashboards for business stakeholders.
- Conduct research to gather market insights and competitive intelligence.
- Help in developing and maintaining data documentation and process flows.
- Assist in testing and validating data integrity and accuracy.
- Learn and apply various data analysis techniques and tools.
- Collaborate with team members on data-related projects and initiatives.
- Contribute to a data-driven culture by proactively identifying opportunities for analysis.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) and data manipulation techniques.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic knowledge of programming languages like Python or R for data analysis is advantageous.
- Excellent written and verbal communication skills.
- Ability to work independently, manage tasks effectively, and meet deadlines in a remote setting.
- A proactive attitude and a strong desire to learn and grow in the field of data analytics.
- A dedicated home workspace with reliable internet access is essential.
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Lead Market Research Analyst - Remote
Posted 1 day ago
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Job Description
Key responsibilities include developing research methodologies, creating surveys and questionnaires, and managing data collection processes. You will analyze quantitative and qualitative data using statistical software and present findings and recommendations to stakeholders through comprehensive reports and presentations. The ideal candidate will have a strong background in market research, with proven experience in designing and executing research projects across various industries. Proficiency in statistical analysis software (e.g., SPSS, R) and data visualization tools is essential. Excellent communication, presentation, and interpersonal skills are required to effectively convey complex research findings to diverse audiences. You should possess a keen understanding of marketing principles and a passion for uncovering consumer insights. We are seeking a self-motivated, detail-oriented individual who can work independently and manage multiple projects simultaneously in a remote environment. This is an exciting opportunity to shape marketing strategies and contribute to the success of our client through data-driven decision-making. Join us and lead the charge in understanding our markets better, all while enjoying the benefits of remote work. This role is nominally based in Mlolongo, Machakos, KE, but is entirely remote.
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Senior Operations Research Analyst - Remote
Posted 23 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain sophisticated mathematical models for optimization, simulation, and forecasting.
- Analyze large datasets to identify patterns, trends, and opportunities for operational improvement.
- Design and evaluate algorithms for complex decision-making problems, such as supply chain optimization, resource allocation, and scheduling.
- Collaborate with business stakeholders to understand their challenges and translate them into quantitative models.
- Present analytical findings and recommendations to senior management in a clear and concise manner.
- Develop and utilize statistical methods and machine learning techniques to derive insights and predict outcomes.
- Build and maintain dashboards and reports to track key performance indicators and model results.
- Stay abreast of the latest advancements in operations research, data science, and analytics.
- Mentor junior analysts and contribute to the development of analytical capabilities within the organization.
- Ensure the integrity and accuracy of data used for analysis and modeling.
- Document methodologies, findings, and recommendations thoroughly.
- Contribute to the strategic planning process by providing quantitative insights and scenario analyses.
- Master's or Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
- A minimum of 7 years of experience in applying operations research techniques to solve business problems.
- Proven expertise in developing and implementing optimization models (e.g., linear programming, integer programming, mixed-integer programming).
- Strong knowledge of statistical modeling, simulation, and forecasting techniques.
- Proficiency in programming languages commonly used in data science and OR (e.g., Python, R, MATLAB, SQL).
- Experience with optimization solvers (e.g., Gurobi, CPLEX) and data analysis libraries.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Demonstrated ability to work effectively and autonomously in a remote environment.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Familiarity with machine learning algorithms and their application in business contexts.
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