What Jobs are available for Data Analysis in Kenya?

Showing 520 Data Analysis jobs in Kenya

Graduate Intern - Data Analysis

00200 Kilimani KES45000 Annually WhatJobs

Posted 11 days ago

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Job Description

intern
Our client is offering an exceptional opportunity for bright and motivated graduates to gain hands-on experience as Data Analysis Interns. This is a fully remote position, providing a flexible and dynamic learning environment. You will work closely with our data science and analytics teams, assisting in the collection, cleaning, analysis, and visualization of complex datasets. The goal of this internship is to equip you with practical skills in data interpretation and reporting, preparing you for a career in data analytics.

Internship Responsibilities:
  • Assist in collecting data from various sources, ensuring data integrity and accuracy.
  • Perform data cleaning and pre-processing tasks to prepare data for analysis.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Support the development of dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
  • Collaborate with team members to understand data requirements and project goals.
  • Learn and apply statistical methods for data analysis.
  • Document data analysis processes and findings clearly and concisely.
  • Assist in testing and validating data models and analytical outputs.
  • Contribute to team discussions and present findings to relevant stakeholders.
  • Gain exposure to various data analysis techniques and tools.

Qualifications:
  • Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a quantitative field.
  • Strong understanding of statistical concepts and data analysis principles.
  • Proficiency in using spreadsheet software (e.g., Microsoft Excel, Google Sheets) with advanced functions.
  • Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
  • Exposure to data visualization tools is an advantage.
  • 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 tasks effectively in a remote setting.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • A proactive and collaborative attitude.

This is a fantastic remote internship opportunity for aspiring data analysts. You will gain invaluable experience supporting data initiatives for our client, located within the operational sphere of Ongata Rongai, Kajiado, KE . If you are a recent graduate with a passion for data and a drive to develop your analytical skills in a remote work environment, we strongly encourage you to apply.
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Graduate Trainee - Data Analysis

20201 Kapsuser KES30000 Monthly WhatJobs remove_red_eye View All

Posted 12 days ago

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Job Description

internship
Our client is offering an exciting opportunity for recent graduates to join as Graduate Trainees in Data Analysis. This program, with connections to **Kericho, Kericho, KE**, is fully remote, providing a unique learning experience regardless of your location. You will receive comprehensive training and mentorship to develop your skills in data collection, cleaning, analysis, and visualization. This role involves working on real-world projects, assisting senior data analysts in extracting insights from large datasets, and contributing to data-driven decision-making. Responsibilities include performing data wrangling and preprocessing, conducting statistical analysis, developing reports and dashboards, and identifying trends and patterns. The ideal candidate will have a recent degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Strong analytical and critical thinking skills, a keen eye for detail, and a passion for data are essential. Proficiency in at least one data analysis tool or programming language (e.g., Excel, SQL, Python, R) is highly desirable. Excellent communication skills and the ability to work collaboratively in a virtual team environment are required. This remote internship provides a fantastic foundation for a career in data science and analytics, offering hands-on experience and professional development.
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Geologist - Remote Data Analysis

00800 Abothuguchi West KES120000 Annually WhatJobs

Posted 26 days ago

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Job Description

contractor
Our client, a pioneering force in the mining industry, is seeking a highly skilled and experienced Geologist with a specialization in remote data analysis to join their fully remote team. This role is crucial for interpreting geological data, identifying potential resource deposits, and supporting exploration and extraction strategies without requiring on-site presence. The successful candidate will be adept at utilizing advanced software and techniques to analyze geophysical, geochemical, and remote sensing data. Responsibilities include processing and interpreting well logs, seismic data, and core samples, developing 3D geological models, and contributing to resource estimation and feasibility studies. You will collaborate closely with exploration teams, geophysicists, and engineers to provide critical geological insights. The ability to work independently, manage complex datasets, and present findings clearly and concisely to both technical and non-technical audiences is paramount. This position demands a strong understanding of geological principles, advanced data analysis skills, and proficiency in geological modeling software. The ideal candidate will be a proactive problem-solver with a passion for leveraging technology to drive exploration success. This is an exceptional opportunity for a geologist to apply their expertise in a remote capacity, contributing to the discovery and sustainable extraction of vital mineral resources. Maintaining up-to-date knowledge of geological software, exploration techniques, and mining industry trends will be essential.

Responsibilities:
  • Analyze and interpret geological, geophysical, and geochemical data.
  • Develop and utilize 3D geological models.
  • Identify potential mineral resource deposits.
  • Process and interpret well logs and seismic data.
  • Contribute to resource estimation and feasibility studies.
  • Collaborate with exploration and technical teams.
  • Prepare detailed geological reports and presentations.
  • Stay current with geological software and analysis techniques.
  • Ensure data integrity and accuracy in all analyses.
  • Support exploration and development strategies.

Qualifications:
  • Proven experience as a Geologist, with a focus on data analysis and interpretation.
  • Strong knowledge of geological principles, exploration techniques, and resource estimation.
  • Proficiency in geological modeling software (e.g., Leapfrog, Micromine, ArcGIS).
  • Experience with geophysical and geochemical data analysis.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and reporting abilities.
  • Ability to work independently and manage projects effectively in a remote setting.
  • Master's degree in Geology, Geophysics, or a related field is preferred.
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Principal Geologist - Data Analysis

30100 Tuwan KES250000 Annually WhatJobs

Posted 25 days ago

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Job Description

full-time
Our client is seeking a highly experienced and visionary Principal Geologist with a strong focus on data analysis to lead their geological research and exploration initiatives. This is a 100% remote position, offering a unique opportunity for an expert to influence critical decisions from anywhere in the world. You will be responsible for the advanced interpretation of geological data from various sources, including drilling, geophysics, geochemistry, and remote sensing, to identify and evaluate new mineral prospects. Your expertise will involve developing sophisticated geological models, employing statistical analysis, and contributing to strategic exploration planning. The ideal candidate will possess a deep understanding of metallogeny and structural geology, coupled with exceptional data science skills.

Key responsibilities include:
  • Leading the analysis and interpretation of large geological datasets to identify and characterize mineral deposits.
  • Developing and refining 3D geological models using advanced software.
  • Applying statistical and machine learning techniques to geological data for predictive modeling.
  • Providing expert geological advice to exploration teams and senior management.
  • Designing and overseeing geological data acquisition programs.
  • Mentoring and guiding junior geologists and data scientists.
  • Collaborating with geophysicists, geochemists, and engineers to integrate diverse datasets.
  • Evaluating the economic potential of exploration targets based on integrated geological models.
  • Preparing high-quality technical reports, presentations, and recommendations for stakeholders.
  • Staying abreast of cutting-edge technologies and methodologies in geological data analysis and mineral exploration.
We are seeking a candidate with a Ph.D. or Master's degree in Geology or a related field, and a minimum of 12 years of progressive experience in mineral exploration and geological data analysis. Proven expertise in geological modeling software (e.g., Leapfrog, GeoModeller), statistical analysis packages (e.g., R, Python), and strong knowledge of machine learning applications in geology are essential. Excellent analytical, critical thinking, and communication skills are required. This fully remote role is crucial for our exploration efforts in regions such as **Eldoret, Uasin Gishu, KE**, and offers a significant impact on our company's future success.
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Graduate Trainee - Data Analysis

20205 Kapsuser KES50000 Monthly WhatJobs Direct

Posted 3 days ago

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Job Description

intern
Our client is offering an exciting Graduate Trainee opportunity in Data Analysis, designed for recent graduates eager to launch their careers in a fully remote setting. This program provides comprehensive training and hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to drive informed business decisions.

As a Graduate Trainee, you will work closely with experienced data analysts and scientists, learning to use powerful analytical tools and techniques. Your responsibilities will include supporting data extraction and transformation processes, assisting in the development of reports and dashboards, performing statistical analysis, and identifying trends and patterns within data. You will gain practical experience with data visualization tools and contribute to projects that provide actionable insights across various business functions. The ideal candidate will have a strong academic background in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Excellent analytical and problem-solving skills, a keen attention to detail, and a genuine curiosity about data are essential. While prior professional experience is not required, a strong understanding of basic statistical concepts and familiarity with spreadsheet software (e.g., Excel) are beneficial. The ability to learn quickly, adapt to new technologies, and communicate effectively in a virtual environment is paramount. This is an exceptional opportunity to gain invaluable experience in the high-demand field of data analysis and contribute meaningfully to our client's data-driven initiatives, all while working remotely.

Location : Remote, with an opportunity to grow within the company network near Kericho, Kericho, KE .
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Advanced Apprentice - Data Analysis

00200 Gathiruini KES150000 Annually WhatJobs

Posted 24 days ago

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Job Description

apprenticeship
Our client is offering an exceptional opportunity for ambitious individuals to join their Data Analysis Apprenticeship program. This is a fully remote, structured learning and development role designed to equip you with the essential skills for a successful career in data analytics. You will work alongside experienced data professionals, gaining hands-on experience in data collection, cleaning, transformation, visualization, and basic modeling. This program combines practical, on-the-job training with theoretical learning, ensuring a comprehensive understanding of data analysis principles and tools. The ideal candidate is highly motivated, possesses strong analytical aptitude, and is eager to learn and grow in a dynamic, remote environment. Responsibilities include:
  • Assisting with data collection from various sources.
  • Performing data cleaning and pre-processing tasks to ensure data quality.
  • Supporting the development of data visualizations and dashboards.
  • Learning and applying statistical methods for data analysis.
  • Collaborating with team members on data-related projects using digital communication platforms.
  • Participating in training sessions and workshops to develop technical skills.
  • Documenting processes and findings.
  • Gaining proficiency in data analysis tools such as Excel, SQL, and potentially Python or R.
  • Adhering to data privacy and security policies.
  • Contributing to a positive and collaborative remote team culture.
While formal qualifications are less critical than aptitude and attitude, a strong academic background, preferably with a focus on mathematics, statistics, or a related quantitative field, is advantageous. Basic computer literacy and a willingness to learn are essential. Previous exposure to programming or data analysis concepts is a plus, but not required. Excellent communication skills and the ability to work independently and as part of a remote team are crucial. This apprenticeship provides a fantastic pathway into the growing field of data analytics, offering valuable experience and mentorship in a supportive, fully remote setting.
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Remote Geologist - Data Analysis

50200 Tuwan KES150000 Annually WhatJobs remove_red_eye View All

Posted 26 days ago

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full-time
Our client is seeking a skilled and meticulous Remote Geologist specializing in data analysis to join their innovative exploration team. This is a fully remote position, allowing you to contribute your geological expertise from anywhere. You will play a critical role in analyzing vast datasets from geophysical surveys, drilling programs, and geochemical analyses to identify and assess mineral resources. Your primary responsibility will be to process, interpret, and model geological data, translating complex information into actionable insights for the exploration and mining operations. This requires a strong foundation in geological principles coupled with advanced data analysis and visualization skills. The ideal candidate will be proficient in using geological software packages, statistical analysis tools, and programming languages (such as Python or R) for data manipulation and modeling. You will work collaboratively with geologists, geophysicists, and other technical experts in a remote setting, contributing to the strategic direction of exploration projects. Responsibilities include developing geological models, evaluating resource potential, identifying areas of interest for further investigation, and contributing to technical reports. A keen eye for detail, strong problem-solving abilities, and the capacity to work autonomously are essential. You will be instrumental in guiding exploration efforts through rigorous data interpretation and ensuring that all geological assessments are scientifically sound and economically viable. The ability to communicate technical findings clearly and concisely to both technical and non-technical audiences, primarily through written reports and virtual presentations, is vital. This position is nominally based in **Bungoma, Bungoma, KE**, but all work is conducted remotely.

Responsibilities:
  • Process, interpret, and model large geological and geophysical datasets.
  • Develop 3D geological models and resource estimations.
  • Analyze geochemical and mineralogical data to identify exploration targets.
  • Utilize geological software (e.g., Leapfrog, ArcGIS) for data visualization and analysis.
  • Write technical reports detailing geological findings, interpretations, and recommendations.
  • Collaborate with remote teams of geologists, geophysicists, and engineers.
  • Evaluate the economic viability of potential mineral resources.
  • Stay updated on the latest advancements in geological data analysis and exploration techniques.
  • Ensure data integrity and quality control throughout all analytical processes.
  • Present findings and recommendations to stakeholders in virtual meetings.
Qualifications:
  • Master's degree or Ph.D. in Geology, Geophysics, or a related earth science discipline with a focus on data analysis.
  • Minimum of 5 years of experience in geological data interpretation and resource modeling, preferably in an exploration or mining context.
  • Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, ArcGIS).
  • Strong programming skills in Python or R for data analysis and scripting.
  • Solid understanding of statistical analysis and quantitative methods.
  • Excellent written and verbal communication skills for remote collaboration and reporting.
  • Ability to work independently and manage projects effectively in a remote environment.
  • Experience with various types of geological data (e.g., drill logs, assay data, geophysical surveys).
  • Strong problem-solving skills and attention to detail.
  • Knowledge of mineral deposit types and exploration strategies.
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Geoscientist (Remote Data Analysis)

50200 Kakamega, Western KES280000 Annually WhatJobs

Posted 12 days ago

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Job Description

full-time
Our client, a leading player in the Oil & Gas sector, is seeking an experienced Geoscientist to join their team in a fully remote capacity. This role focuses on advanced data analysis and interpretation of geological and geophysical information to identify and evaluate potential hydrocarbon resources. You will utilize cutting-edge software and techniques to process seismic data, well logs, and other subsurface information, contributing directly to exploration and development strategies. This is a prime opportunity for a skilled geoscientist to work remotely and apply their expertise in a critical industry role.

Responsibilities:
  • Analyze and interpret seismic, well log, gravity, and magnetic data to delineate geological structures and identify potential hydrocarbon reservoirs.
  • Develop and refine subsurface models using specialized geological and geophysical software packages (e.g., Petrel, Kingdom, IHS Markit tools).
  • Integrate diverse geological datasets to build a comprehensive understanding of reservoir characteristics, stratigraphy, and depositional environments.
  • Perform risk assessments related to geological uncertainties and potential drilling operations.
  • Collaborate remotely with exploration teams, reservoir engineers, and drilling engineers to provide geological insights and support decision-making.
  • Prepare detailed geological reports, maps, cross-sections, and presentations for management and technical stakeholders.
  • Evaluate exploration prospects and provide recommendations for drilling targets.
  • Stay current with advancements in geoscience technologies, software, and methodologies.
  • Contribute to the company's understanding of regional and global petroleum systems.
  • Ensure adherence to data quality standards and best practices in geological analysis.
Qualifications:
  • Master's degree or Ph.D. in Geoscience, Geology, Geophysics, or a related field.
  • Minimum of 7 years of relevant industry experience in geological or geophysical interpretation, particularly in exploration or asset evaluation.
  • Proficiency in advanced geological and geophysical software (e.g., Petrel, Landmark, Paradigm, Kingdom).
  • Strong understanding of seismic interpretation, sequence stratigraphy, well log analysis, and basin analysis.
  • Experience with data management and visualization tools.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to effectively present complex technical information remotely.
  • Ability to work independently, manage projects, and meet deadlines in a fully remote work environment.
  • Familiarity with petroleum systems analysis and risk assessment.
This is a remote position supporting our client's operations, with a focus on assets relevant to Kakamega, Kakamega, KE . Our client offers a competitive salary and the chance to make a significant contribution to the energy sector from anywhere.
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Junior Apprentice - Data Analysis

30500 Tuwan KES25000 Monthly WhatJobs

Posted 5 days ago

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Job Description

intern
Our client is looking for enthusiastic and motivated individuals to join their team as Junior Apprentices in Data Analysis. This is a fantastic opportunity to gain hands-on experience in the field of data science and analytics within a supportive and dynamic work environment. As a Junior Apprentice, you will work closely with senior data analysts to learn how to collect, clean, process, and interpret large datasets. You will assist in developing reports, dashboards, and visualizations to communicate insights to stakeholders. This apprenticeship program is designed to provide comprehensive training in data analysis tools and techniques, including SQL, Python (with libraries like Pandas and NumPy), and data visualization software (e.g., Tableau, Power BI). You will be involved in various stages of data projects, from data gathering and exploratory analysis to contributing to predictive modeling efforts.

The ideal candidate is eager to learn, possesses strong analytical and problem-solving skills, and has a keen interest in data. While prior experience in data analysis is not strictly required, a foundational understanding of statistics and a passion for uncovering insights from data are highly valued. This apprenticeship offers a blend of on-the-job training and structured learning, with opportunities to contribute to real-world business challenges. You will be expected to collaborate effectively with team members, maintain attention to detail, and develop a strong understanding of data integrity and ethical data handling practices. This role is perfect for individuals looking to launch a career in data analytics and build a solid skill set through practical application and mentorship.

Responsibilities:
  • Assist senior analysts in collecting and organizing data from various sources.
  • Clean and pre-process datasets to ensure accuracy and readiness for analysis.
  • Perform exploratory data analysis to identify patterns and trends.
  • Support the development of reports and dashboards for data insights.
  • Learn and apply data analysis tools and techniques (e.g., SQL, Python, R).
  • Create basic data visualizations to communicate findings.
  • Collaborate with team members on data-related projects.
  • Adhere to data quality and integrity standards.
  • Participate in training sessions and learning activities.
  • Assist in documenting data processes and methodologies.
  • Gain exposure to statistical analysis and machine learning concepts.
  • Support the team in identifying potential data-driven improvements.
Qualifications:
  • High school diploma or equivalent required; a degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) is a plus.
  • Strong interest in data analysis and a desire to learn.
  • Analytical and problem-solving abilities.
  • Basic understanding of statistics is beneficial.
  • Familiarity with spreadsheet software (e.g., Excel) is required.
  • Eagerness to learn new technologies and software.
  • Good communication and teamwork skills.
  • Detail-oriented and organized.
  • Ability to commit to the apprenticeship duration.
This is a hybrid role, offering a mix of remote work and in-person collaboration, based in Kitale, Trans-Nzoia, KE .
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Junior Graduate Trainee - Data Analysis

00209 Bahati, Nairobi KES60000 Annually WhatJobs remove_red_eye View All

Posted 18 days ago

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intern
Our client, a forward-thinking technology firm, is excited to offer a unique opportunity for a motivated Junior Graduate Trainee specializing in Data Analysis. This is a fully remote, entry-level position designed to provide recent graduates with hands-on experience and mentorship in the rapidly evolving field of data science and analytics. You will work closely with experienced data professionals, contributing to real-world projects and developing critical skills.

Key responsibilities will include:
  • Assisting senior analysts in collecting, cleaning, and organizing large datasets from various sources.
  • Performing basic data analysis using statistical methods and tools.
  • Generating reports and visualizations to communicate findings to the team.
  • Supporting the development and testing of data models and algorithms under supervision.
  • Learning and applying industry-standard data analysis techniques and software.
  • Collaborating with team members on data-related projects and initiatives.
  • Documenting data processes, methodologies, and findings.
  • Participating in team meetings and contributing to discussions on data insights.
  • Identifying trends and patterns within datasets.
  • Shadowing experienced data analysts to gain practical insights into their workflows.
  • Assisting with data quality assurance checks.
  • Researching new tools and techniques in data analytics.
The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A strong academic record and a demonstrated passion for data analysis are essential. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is highly preferred. Familiarity with data visualization tools (e.g., Tableau, Power BI) and database concepts is a plus. Excellent analytical and problem-solving skills, attention to detail, and a willingness to learn are paramount. Strong communication and teamwork abilities are required. This remote role demands self-discipline, motivation, and the ability to manage tasks effectively. This is an excellent stepping stone for aspiring data professionals looking to launch their careers.
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