3,024 Data Reporting jobs in Kenya
Entry-Level Data Analyst & Operations Assistant
Posted 18 days ago
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Job Description
Our client is seeking a highly motivated and detail-oriented Graduate to join their dynamic team as an Entry-Level Data Analyst & Operations Assistant. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will play a crucial role in supporting various operational tasks and contributing to data-driven decision-making processes.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis to identify trends, patterns, and insights.
- Generate reports and dashboards to visualize data and present findings.
- Support the operations team with administrative tasks, such as scheduling, documentation, and communication.
- Contribute to the improvement of operational processes and efficiency.
- Maintain databases and ensure data integrity.
- Collaborate with team members across different departments to achieve project goals.
- Provide support for ad-hoc projects and tasks as assigned.
- Participate in virtual team meetings and training sessions.
- Learn and adapt to new tools and technologies relevant to data analysis and operations.
Qualifications:
- Recent graduate with a Bachelor's degree in a relevant field such as Statistics, Mathematics, Economics, Business Administration, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel or Google Sheets is essential.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and develop new skills.
- A proactive attitude and a strong work ethic.
- Must have reliable internet access and a suitable remote working environment.
- Previous internship or project experience in data analysis or operations is advantageous.
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Lead Remote Data Analyst - Sanitation Operations
Posted 19 days ago
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Job Description
Our client is looking for a Lead Remote Data Analyst to spearhead the analysis of sanitation operations, driving efficiency and effectiveness through data-driven insights. This is a fully remote position, allowing you to contribute from anywhere. You will be responsible for collecting, cleaning, and analyzing vast datasets related to waste management, public health, and environmental sanitation across various urban and rural settings. Your primary objective will be to identify trends, patterns, and anomalies, translating complex data into actionable recommendations for improving service delivery, resource allocation, and public health outcomes. This role involves developing and maintaining robust data dashboards and reports that provide real-time visibility into key performance indicators (KPIs). You will collaborate closely with cross-functional teams, including operations managers, public health officials, and IT specialists, to understand their data needs and deliver tailored analytical solutions. The ideal candidate possesses a strong background in statistical analysis, data visualization, and database management, coupled with expertise in programming languages like Python or R. Experience with data warehousing solutions and business intelligence tools (e.g., Tableau, Power BI) is essential. You must be adept at communicating technical findings to non-technical stakeholders, presenting clear and concise insights that facilitate informed decision-making. Responsibilities include designing and implementing data collection strategies, performing in-depth statistical analysis to identify operational bottlenecks and areas for improvement, creating predictive models for resource forecasting, and ensuring data integrity and accuracy. You will also mentor junior analysts, foster a culture of data literacy within the organization, and contribute to the strategic planning of sanitation initiatives. This position requires a proactive, detail-oriented individual with a passion for leveraging data to solve critical societal challenges. The ability to work independently, manage multiple projects simultaneously, and meet tight deadlines in a remote setting is paramount. A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Public Health, or a related quantitative field is required. Previous experience in municipal services, public utilities, or environmental management, with a focus on data analysis, will be highly advantageous. Join our client in enhancing public well-being through smarter, data-informed sanitation solutions, impacting communities remotely.
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Graduate Trainee - Data Analytics and Business Intelligence
Posted 5 days ago
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Job Description
Our client, a rapidly expanding analytics firm, is offering an exceptional Graduate Trainee program designed for ambitious and data-curious individuals. This is a fully remote internship, providing a unique opportunity to gain hands-on experience in data analytics and business intelligence from anywhere in Kenya. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects that drive business decisions. You will be involved in data collection, cleaning, transformation, and visualization. Key responsibilities include assisting in the development of reports and dashboards, conducting exploratory data analysis, and supporting the team in identifying trends and insights. You will gain exposure to various analytical tools and techniques, including SQL, Python, R, and BI platforms like Tableau or Power BI. The program is structured to provide comprehensive training and mentorship, fostering your professional growth. The ideal candidate will have recently graduated with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A strong academic record and a demonstrable passion for data analysis are essential. Familiarity with basic statistical concepts and programming languages (SQL, Python, or R) is highly advantageous. Excellent analytical, problem-solving, and communication skills are required. You must be a quick learner, highly motivated, detail-oriented, and able to work effectively both independently and as part of a remote team. This internship is an ideal stepping stone for individuals seeking to launch a career in data analytics and business intelligence, offering invaluable practical experience and industry exposure.
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Graduate Trainee - Data Analytics & Business Intelligence
Posted 19 days ago
Job Viewed
Job Description
Our client is offering a prestigious Graduate Trainee program focused on Data Analytics and Business Intelligence, designed for ambitious recent graduates eager to launch their careers in a high-demand field. This is a fully remote opportunity, providing comprehensive training and hands-on experience without the need for physical presence. As a Graduate Trainee, you will work closely with senior data scientists and business analysts, learning to collect, clean, analyze, and interpret complex datasets to derive actionable insights. You will be involved in developing reports, dashboards, and visualizations using tools like Tableau, Power BI, or similar platforms to communicate findings effectively. The program will cover essential data analysis techniques, statistical modeling, and the fundamentals of business intelligence. You will gain exposure to various data sources and learn how to extract, transform, and load (ETL) data efficiently. A key aspect of this traineeship is understanding business needs and translating them into data-driven solutions. You will have opportunities to contribute to real-world projects, assisting in identifying trends, forecasting future outcomes, and providing recommendations to improve business performance. Excellent analytical and problem-solving skills, a strong aptitude for numbers, and a keen attention to detail are essential. Familiarity with SQL and a programming language like Python or R is advantageous. This is an excellent stepping stone for a career in data science, analytics, or business intelligence. We are looking for individuals who are eager to learn, highly motivated, and can work effectively in a remote setting. This program supports our ongoing initiatives and aims to develop future talent for our organization, with an emphasis on foundational learning for roles supporting various business functions.
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Junior Data Analyst, Business Intelligence
Posted 19 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization committed to data-driven decision-making, is seeking an enthusiastic and motivated Junior Data Analyst to join their Business Intelligence team. This is a fully remote internship opportunity, offering invaluable hands-on experience in the field of data analysis and business intelligence. As a Junior Data Analyst, you will work closely with senior analysts and business stakeholders to extract, clean, analyze, and visualize data to uncover actionable insights. You will gain exposure to various data sources, tools, and techniques, contributing to the creation of reports and dashboards that support strategic initiatives. This internship is designed to provide a comprehensive learning experience in a supportive, remote-first environment. You will learn to identify trends, patterns, and anomalies in data, helping to inform business strategies and improve operational efficiency. This role is ideal for individuals with a strong analytical aptitude, a passion for data, and a desire to kick-start their career in data analytics.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in gathering and cleaning data from various sources.
- Perform data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports and dashboards using BI tools.
- Support senior analysts in ad-hoc data requests and projects.
- Collaborate with cross-functional teams to understand data needs and requirements.
- Learn and apply data visualization techniques to present findings effectively.
- Contribute to data quality assurance and validation processes.
- Document data sources, methodologies, and findings.
- Participate in team meetings and contribute to discussions on data-related topics.
- Gain practical experience with SQL, Excel, and business intelligence software.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel, including formulas and data manipulation.
- Basic understanding of SQL for data querying.
- Familiarity with data visualization concepts and tools (e.g., Tableau, Power BI) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A strong desire to learn and grow in the field of data analytics.
- Proactive and detail-oriented approach to tasks.
- Enthusiasm for working with data and uncovering insights.
This advertiser has chosen not to accept applicants from your region.
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Senior Real Estate Data Analyst - Market Intelligence
Posted 19 days ago
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Job Description
Our client is seeking a highly analytical and insightful Senior Real Estate Data Analyst to drive their market intelligence efforts. This is a fully remote position, allowing you to work from anywhere within Kenya. You will be responsible for collecting, analyzing, and interpreting vast amounts of real estate data to identify market trends, opportunities, and risks. Your insights will be crucial in informing strategic investment decisions, property development, and market positioning.
Responsibilities:
Responsibilities:
- Collect, clean, and validate large datasets related to property transactions, market values, rental rates, occupancy levels, and demographic information.
- Develop and maintain sophisticated data models to forecast real estate market trends and identify emerging opportunities.
- Utilize statistical software and data visualization tools to analyze market dynamics and generate actionable insights.
- Prepare comprehensive market analysis reports, presentations, and dashboards for internal stakeholders, including investment teams and property managers.
- Monitor key performance indicators (KPIs) for various real estate segments and provide regular updates on market performance.
- Conduct in-depth research on specific geographic areas and property types to understand supply, demand, and competitive landscapes.
- Collaborate with cross-functional teams, including acquisitions, development, and marketing, in a remote setting to provide data-driven recommendations.
- Identify potential risks and challenges within the real estate market and propose mitigation strategies.
- Stay abreast of industry best practices, new data sources, and analytical methodologies in real estate analytics.
- Develop and automate reporting processes to enhance efficiency and accuracy.
- Present complex data findings in a clear, concise, and compelling manner to diverse audiences.
- Contribute to the strategic planning process by providing data-driven market intelligence.
- Ensure data integrity and accuracy across all analytical outputs.
- Explore new data sources and analytical techniques to enhance market insights.
- Bachelor's degree in Economics, Finance, Statistics, Real Estate, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5 years of experience in data analysis, with a significant focus on the real estate industry.
- Proven expertise in collecting, analyzing, and interpreting large datasets using tools like SQL, Python, R, or similar.
- Strong proficiency with data visualization tools such as Tableau, Power BI, or similar.
- Solid understanding of real estate market dynamics, property valuation methods, and investment principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical stakeholders.
- Highly organized, detail-oriented, and able to manage multiple projects simultaneously in a remote environment.
- Ability to work independently and proactively.
- Experience with GIS software for spatial analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Analyst - Remote Insights Generation
Posted 14 days ago
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Job Description
Our client is actively seeking an enthusiastic and detail-oriented Junior Data Analyst to join their growing team. This is an excellent opportunity for recent graduates or individuals looking to kickstart their career in data analysis, offering a fully remote work experience. You will be responsible for collecting, cleaning, and analyzing datasets to extract meaningful insights that support business decision-making. This role involves working with various data sources, performing statistical analyses, and creating reports and visualizations to communicate findings effectively. The ideal candidate will have a foundational understanding of data analysis principles, strong quantitative skills, and a keen eye for detail. Proficiency in tools like Excel and basic knowledge of SQL or Python for data manipulation would be advantageous. You will receive mentorship and training to develop your skills further in a supportive remote environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform basic statistical analysis to identify trends, patterns, and anomalies.
- Create clear and concise reports and visualizations to present data findings.
- Support senior analysts in developing dashboards and data models.
- Assist in data validation and quality assurance processes.
- Contribute to ad-hoc data requests and projects.
- Learn and apply new data analysis techniques and tools.
- Maintain data integrity and ensure adherence to data governance policies.
- Communicate findings and insights to team members.
- Participate in team meetings and contribute to discussions on data-related initiatives.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis methodologies.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic knowledge of SQL or programming languages like Python (for data analysis libraries like Pandas) is desirable.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and develop new skills in the field of data analytics.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Analyst - Business Intelligence
Posted 19 days ago
Job Viewed
Job Description
Our client is excited to offer a Graduate Data Analyst internship, providing a fantastic remote opportunity for recent graduates to launch their careers in data science and business intelligence. You will work alongside experienced analysts and data scientists, gaining practical experience in data manipulation, analysis, and visualization. This role is designed to immerse you in real-world data challenges, helping you develop essential skills in identifying trends, generating insights, and supporting data-driven decision-making. Key responsibilities include extracting and cleaning data from various sources, performing statistical analysis, creating reports and dashboards using tools like Tableau or Power BI, and assisting in the development of data models. The ideal candidate will have a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Proficiency in SQL for data extraction and manipulation is a must. Familiarity with programming languages such as Python or R for data analysis is highly desirable. You should possess strong analytical and problem-solving skills, a keen eye for detail, and a passion for uncovering insights from data. Excellent communication skills are necessary to present findings clearly and concisely to both technical and non-technical stakeholders in this remote setting. Our client provides comprehensive training, mentorship, and exposure to cutting-edge data technologies, fostering a collaborative and supportive remote work culture. This internship offers a valuable stepping stone for aspiring data professionals looking to build a strong foundation in the field.
This advertiser has chosen not to accept applicants from your region.
7
Apprentice Data Analyst - Business Intelligence
Posted 19 days ago
Job Viewed
Job Description
Our client is a forward-thinking data analytics firm committed to fostering emerging talent. We are offering a unique fully remote Apprenticeship opportunity for aspiring Data Analysts. This program is designed to provide comprehensive training and hands-on experience in business intelligence, data visualization, and analytical techniques. As an apprentice, you will work closely with experienced data professionals, contributing to real-world projects and gaining invaluable skills in a supportive, remote learning environment.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau or Power BI.
- Perform basic data analysis to identify trends, patterns, and insights under the guidance of senior analysts.
- Help in creating data visualizations to communicate findings effectively to stakeholders.
- Learn and apply statistical methods and data modeling techniques.
- Document data sources, methodologies, and analysis steps.
- Collaborate with team members on data-related projects in a remote setting.
- Participate in training sessions and workshops to enhance analytical skills.
- Assist in testing and validating data integrity and report accuracy.
- Shadow senior data analysts and learn best practices in data analysis and interpretation.
- Contribute to ad-hoc data requests as needed.
- Develop a foundational understanding of business processes and how data supports decision-making.
- Engage in self-directed learning to expand knowledge in data analytics and related technologies.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong interest in data analysis, business intelligence, and data visualization.
- Basic understanding of statistical concepts and principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) is required.
- Exposure to programming languages such as Python or R is a plus.
- Eagerness to learn and adapt to new technologies and tools.
- Good analytical and problem-solving aptitude.
- Effective communication skills, both written and verbal, for remote collaboration.
- Ability to work independently, manage time effectively, and adhere to deadlines in a remote environment.
- A proactive attitude and a desire to contribute to team goals.
- This is a fully remote apprenticeship program, conceptually based in Nakuru, Nakuru, KE .
This advertiser has chosen not to accept applicants from your region.
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Junior Data Analyst - Business Intelligence Focus
Posted 19 days ago
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Job Description
Our client, a forward-thinking organization committed to data-driven decision-making, is seeking an enthusiastic and motivated Junior Data Analyst to join their fully remote team as an intern. This is an exceptional opportunity for a recent graduate or an individual early in their career to gain practical experience in data analysis, business intelligence, and reporting. You will work closely with senior analysts and business stakeholders to gather, clean, analyze, and interpret data from various sources, contributing to insightful reports and dashboards that drive strategic business initiatives.
The intern will be involved in the entire data lifecycle, from data extraction and transformation using SQL and other tools, to data visualization and presentation using tools like Tableau, Power BI, or similar platforms. You will assist in identifying trends, patterns, and anomalies within datasets, helping to uncover actionable insights that inform business strategies. This role demands a sharp analytical mind, a keen eye for detail, and a strong desire to learn and grow within the field of data analytics. You will support the development and maintenance of regular reports and dashboards, ensuring data accuracy and integrity. The ability to communicate findings clearly, both verbally and in writing, is essential, as you will present your analysis to team members and potentially other stakeholders.
This is a fully remote internship, requiring self-discipline, proactive communication, and the ability to manage your workload effectively in a virtual environment. You will have the opportunity to work with real-world datasets and contribute to meaningful projects, gaining valuable hands-on experience. This role is ideal for someone with a foundational understanding of statistical concepts and a passion for using data to solve problems. Familiarity with programming languages such as Python or R for data manipulation and analysis would be an added advantage. We are looking for a curious and diligent individual eager to learn from experienced professionals and make a tangible contribution.
Key Responsibilities:
The intern will be involved in the entire data lifecycle, from data extraction and transformation using SQL and other tools, to data visualization and presentation using tools like Tableau, Power BI, or similar platforms. You will assist in identifying trends, patterns, and anomalies within datasets, helping to uncover actionable insights that inform business strategies. This role demands a sharp analytical mind, a keen eye for detail, and a strong desire to learn and grow within the field of data analytics. You will support the development and maintenance of regular reports and dashboards, ensuring data accuracy and integrity. The ability to communicate findings clearly, both verbally and in writing, is essential, as you will present your analysis to team members and potentially other stakeholders.
This is a fully remote internship, requiring self-discipline, proactive communication, and the ability to manage your workload effectively in a virtual environment. You will have the opportunity to work with real-world datasets and contribute to meaningful projects, gaining valuable hands-on experience. This role is ideal for someone with a foundational understanding of statistical concepts and a passion for using data to solve problems. Familiarity with programming languages such as Python or R for data manipulation and analysis would be an added advantage. We are looking for a curious and diligent individual eager to learn from experienced professionals and make a tangible contribution.
Key Responsibilities:
- Assist in gathering, cleaning, and transforming data from various sources using SQL and other data manipulation tools.
- Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau or Power BI.
- Analyze datasets to identify trends, patterns, and anomalies, and document findings.
- Collaborate with senior analysts to interpret data and provide insights to business stakeholders.
- Assist in ensuring data accuracy, consistency, and integrity across all reporting.
- Prepare clear and concise summaries of data analysis findings for team review.
- Contribute to ad-hoc data requests and analytical projects as assigned.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to discussions on data-related topics.
- Develop basic SQL queries for data extraction and manipulation.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field.
- Foundational knowledge of data analysis principles and statistical concepts.
- Familiarity with SQL for data querying and manipulation.
- Basic understanding of data visualization tools (e.g., Tableau, Power BI, Excel charts).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and eagerness to learn.
- Familiarity with Python or R for data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
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