Showing 233 Reporting jobs in Garissa
Junior Data Analyst
Posted 2 days ago
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Key Responsibilities:
- Assist in the collection and compilation of data from various sources.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conduct basic data analysis using statistical methods and software tools.
- Generate reports and visualizations to present findings and trends clearly.
- Support senior analysts in developing dashboards and key performance indicators (KPIs).
- Identify patterns and anomalies in data and report them to the team.
- Learn and apply new data analysis techniques and tools.
- Collaborate with team members to understand data requirements and project goals.
- Assist in maintaining databases and ensuring data quality.
- Participate in team meetings and contribute to discussions on data-related projects.
- Document data analysis processes and methodologies.
- Gain exposure to various data analysis software and platforms.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, 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) is essential.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic knowledge of SQL or other database querying languages is advantageous.
- Enthusiasm for learning about data analysis and its applications.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and willingness to take on new challenges.
- Strong organizational skills and the ability to manage multiple tasks.
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Graduate Data Analyst
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Apprentice Data Analyst
Posted 2 days ago
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As an Apprentice Data Analyst, you will work under the guidance of experienced data professionals. Your responsibilities will include assisting in data collection, cleaning, and preparation. You will learn to use various data analysis tools and techniques to identify trends, patterns, and anomalies within datasets. The program will cover essential skills such as data visualization, statistical analysis, and reporting. You will gain hands-on experience with real-world data challenges, developing your ability to communicate findings clearly and effectively to stakeholders. This remote apprenticeship fosters a collaborative learning environment where you can build a strong foundation for a career in data science and analytics.
Key Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis to identify trends, patterns, and insights.
- Learn to use data visualization tools (e.g., Tableau, Power BI) to create reports and dashboards.
- Support senior analysts in developing data models and statistical analyses.
- Help in the preparation of reports and presentations of findings.
- Collaborate with team members on data-related projects.
- Gain exposure to SQL for data querying and manipulation.
- Learn about data governance and best practices.
- Actively participate in training sessions and skill-building workshops.
- Troubleshoot and resolve data-related issues under guidance.
- Maintain accurate and organized data documentation.
Ideal candidates should possess strong analytical and problem-solving abilities, with a keen interest in data. A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline is preferred. No prior professional experience is required, but a genuine enthusiasm for data and a willingness to learn are essential. Familiarity with spreadsheet software (e.g., Excel) is beneficial. Excellent communication skills, both written and verbal, are required for effective remote collaboration. This is an excellent opportunity for individuals seeking to enter the data analytics field and develop valuable skills for future career growth. Successful apprentices will gain invaluable experience and potentially be considered for future full-time positions.
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Junior Data Analyst - Graduate Program
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in collecting and preparing data from various sources for analysis.
- Cleanse and transform raw data to ensure accuracy and consistency.
- Perform basic statistical analysis to identify trends and patterns.
- Create reports, charts, and dashboards to visualize data findings.
- Support senior analysts in developing and maintaining data models.
- Collaborate with team members to understand project requirements and data needs.
- Participate in team meetings and contribute to discussions on data insights.
- Learn and apply new data analysis techniques and tools.
- Assist in documenting data processes and findings.
- Contribute to 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 basic statistical concepts and methods.
- Familiarity with data analysis and visualization tools such as Excel, Tableau, Power BI, or similar.
- Basic programming skills in languages like Python or R are a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective 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 challenges.
- A proactive attitude and strong work ethic.
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Graduate Trainee - Data Analyst
Posted 2 days ago
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Job Description
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and organizing large datasets from various sources.
- Perform data exploration and initial analysis to identify trends, patterns, and anomalies.
- Create clear and insightful data visualizations using tools such as Tableau, Power BI, or similar platforms.
- Support the development of reports and dashboards to communicate findings to stakeholders.
- Conduct basic statistical analysis to derive meaningful conclusions from data.
- Assist in the documentation of data processes, methodologies, and findings.
- Collaborate with team members on data-related projects and initiatives.
- Learn and apply various data analysis techniques and tools under mentorship.
- Participate in training sessions and workshops to enhance data analysis skills.
- Contribute to brainstorming sessions for new analytical approaches.
- Help in identifying data quality issues and suggesting improvements.
- Gain exposure to different business functions and understand how data drives decisions.
- Present findings in a clear and concise manner, tailored to different audiences.
- Follow project guidelines and deadlines provided by mentors.
- Assist in maintaining and updating data repositories.
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 principles.
- Proficiency in Microsoft Excel or Google Sheets for data manipulation.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic knowledge of programming languages like Python or R is advantageous.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently, manage time effectively, and be a proactive learner in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong work ethic and commitment to completing assigned tasks.
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Junior Data Analyst - Business Intelligence
Posted 2 days ago
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Remote Graduate Data Analyst
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in collecting, organizing, and cleaning large datasets from various sources.
- Perform data analysis using statistical techniques to identify trends, patterns, and correlations.
- Develop reports and visualizations to communicate findings effectively to stakeholders.
- Support the development of dashboards and business intelligence tools.
- Collaborate with team members to understand data needs and provide analytical support.
- Help in the documentation of data processes and analysis methodologies.
- Conduct research on industry trends and best practices in data analysis.
- Contribute to ad-hoc data analysis requests and projects.
- Learn and apply new data analysis tools and techniques.
- Ensure data accuracy and integrity throughout the analysis process.
- Participate in team meetings and contribute to discussions on data-related insights.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in at least one data analysis tool or programming language (e.g., Python, R, SQL).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Demonstrated interest in data analysis through projects or coursework.
- Reliable internet access and a suitable remote working environment.
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Trainee Data Analyst - Remote Internship
Posted 2 days ago
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Remote Data Analyst Graduate Program
Posted 2 days ago
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Key responsibilities will include cleaning and preprocessing data, performing exploratory data analysis, identifying trends and patterns, and developing data-driven reports and dashboards. You will learn to use various data analysis tools and programming languages such as SQL, Python, and R. The program emphasizes critical thinking and problem-solving skills, encouraging participants to ask the right questions and derive actionable recommendations. You will also be involved in presenting findings to internal teams and stakeholders. This program is ideal for individuals with a strong quantitative background, a keen eye for detail, and a passion for data. A Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field is required. While prior professional experience is not mandatory, demonstrable analytical skills through academic projects or internships are a plus. Excellent communication skills, a willingness to learn, and the ability to work effectively in a remote, collaborative environment are essential. Upon successful completion of the program, high-performing graduates may be considered for full-time employment opportunities within the organization. This is a fantastic chance to build a solid foundation in data analytics and contribute to impactful business decisions in a remote-first setting.
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Remote Agricultural Data Analyst
Posted 2 days ago
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Job Description
Responsibilities:
- Collect, clean, and preprocess large agricultural datasets from various sources.
- Perform statistical analysis to identify trends, correlations, and key factors affecting crop production.
- Develop and implement predictive models for crop yield, disease outbreaks, and weather impacts.
- Create data visualizations and reports to communicate complex findings to stakeholders.
- Collaborate with agronomists and researchers to interpret data and provide actionable recommendations.
- Identify opportunities for optimizing resource allocation (water, fertilizer, pesticides).
- Develop dashboards and tools for real-time monitoring of farm performance.
- Stay updated on advancements in agricultural technology and data science techniques.
- Ensure data accuracy, integrity, and security throughout the analysis process.
- Contribute to the development of data-driven decision-making frameworks for agricultural operations.
- Proven experience as a Data Analyst, preferably with a focus on agriculture or a related scientific field.
- Strong proficiency in statistical analysis and data mining techniques.
- Expertise in programming languages such as R or Python for data analysis.
- Experience with database management systems (e.g., SQL).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of agricultural science, crop management, or agronomy.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong communication and presentation skills.
- Bachelor's or Master's degree in Data Science, Statistics, Agricultural Science, or a related quantitative field.
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