147 Hr Analytics jobs in Kenya
CORE HR DATA COLLECTION SPECIALIST
Posted today
Job Viewed
Job Description
CARE is seeking a Data Collection Specialist to support the successful implementation of Oracle HCM by ensuring the availability of accurate, complete, and standardized workforce data across its global offices. Many country offices lack dedicated HR staff or the capacity to collect required data. This role will work directly with country teams to identify existing data, assess gaps, and develop practical, context-sensitive strategies to collect missing information. Operating independently but in close coordination with the project team and country offices, the Specialist will play a critical role in enabling a smooth and effective deployment of Oracle Core HR.
This position is currently funded through 30 June 2026 but is planned to continue afterward, subject to availability of funding.
RESPONSIBILITIES:
Data Discovery and Gap Analysis
Engage with country offices to identify existing workforce data (e.g., emergency contacts, reporting lines).
ssess completeness, accuracy, and relevance.
Document data gaps and understand local constraints and capabilities.
Strategy Development and Execution
Design and implement tailored data collection strategies to address identified gaps. This may include surveys, document requests, interviews, or other creative approaches suited to the country office’s context and capacity.
Stakeholder Engagement and Support
C llaborate with country office staff to build trust and ensure alignment with local practices.
Provide guidance and support to help offices understand data requirements and contribute effectively to the collection process.
Documentation and Reporting
Maintain organized records of data collection activities, including progress trackers, gap logs, and country-specific plans.
Provide regular updates to the project team and contribute to knowledge sharing across the implementation effort.
Required Qualifications:
Bachelor’s degree in human resources, data management, international development, or a related field (or equivalent combination of education and experience)
S rong analytical and organizational skills
Excellent communication and interpersonal skills, with the ability to work across cultures and time zone
Ability to work independently and adapt approaches to diverse contexts
Minimum 3 years of experience in data collection, analysis, or project coordination
Experience working in large, geographically dispersed organizations
Proficiency with Microsoft 365 tools, especially Excel, Teams, and SharePoint
Experience designing surveys or other data collection tools
Preferred Qualifications:
Familiarity with the nonprofit or international development sector
Experience working with country offices or decentralized teams
Experience working in low-resource or humanitarian settings
Familiarity with data quality assurance practices
Experience with HRIS or Core HR data requirements
Experience with Oracle Cloud HCM
How to apply
There are individuals who may use CARE’s name and trademark in emails and on websites in an attempt to solicit fees from interested job-seekers. Some examples of these fees are placement fees or immigration processing fees. CARE does not use recruiting or placement agencies that charge candidates an up-front fee of any kind. Occasionally, CARE does employ recruiting or placement agencies to help us identify candidates for specific employment within CARE. If you’re contacted by a legitimate recruiting or placement agency, there should be no charge to you. If you suspect that you have been a victim of fraud from someone purporting to be CARE, please contact us at Please do not email to apply for this position. Instead, click "apply now" below in order to submit your interest.
CARE is an Equal Opportunity employer. We provide equal employment opportunities to all employees and qualified applicants for employment without regard to race, color, sex, religion, ancestry, national origin, age, disability, marital status, or veteran status, or any other characteristics protected under applicable law.
Starting salaries are based on internal equity, candidate experience, and the cost of labor where the job is based. Salaries listed only apply to jobs based in the US.
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Program Structure & Responsibilities:
- Undergo structured training in data analysis methodologies, statistical concepts, and relevant software.
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of analytical models.
- Create clear and concise data visualizations and reports for stakeholders.
- Learn and utilize data analysis tools and programming languages (e.g., SQL, Python, R, Excel).
- Collaborate with team members on data-related projects.
- Participate in regular feedback sessions and performance evaluations.
- Contribute to team meetings and discussions, sharing insights and learning from peers.
- Assist in documenting data analysis processes and findings.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a closely related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages like Python or R is a plus.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote environment.
- A proactive attitude and a keen interest in data-driven decision-making.
This is a fantastic entry-level opportunity for aspiring data analysts looking to launch their careers remotely, with the position based in Garissa, Garissa, KE , but fully conducted online.
Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform data analysis using statistical methods and tools.
- Develop reports and visualizations to communicate data insights.
- Support data scientists in building and validating models.
- Identify trends, patterns, and anomalies in datasets.
- Collaborate with team members on data-related projects.
- Learn and apply various data analysis software and techniques.
- Assist in the preparation of data summaries and presentations.
- Contribute to the maintenance of data integrity and accuracy.
- Participate in team meetings and discussions on data projects.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Solid understanding of statistical concepts and analytical methods.
- Proficiency in at least one data analysis tool or programming language (e.g., Excel, SQL, Python, R).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Eagerness to learn and develop skills in data analytics.
- Ability to work independently and as part of a remote team.
- Strong organizational skills.
Location: Mlolongo, Machakos, KE
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development of data models and algorithms.
- Create visualizations and reports to communicate findings to stakeholders.
- Assist in conducting statistical analysis and interpretation.
- Learn and apply data analysis tools and techniques.
- Collaborate with senior analysts and team members on data projects.
- Maintain data integrity and accuracy.
- Contribute to the continuous improvement of data analysis processes.
- Stay updated on emerging trends in data analytics.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Proficiency in Microsoft Excel.
- Familiarity with statistical concepts and methods.
- Enthusiasm for data and a strong desire to learn.
- Good communication and interpersonal skills.
- Ability to work independently and collaboratively in a remote environment.
- Basic knowledge of programming languages (e.g., Python, R) or SQL is a plus.
Graduate Trainee - Data Analysis - Remote
Posted today
Job Viewed
Job Description
Program Highlights:
- Intensive training in data analysis tools and techniques (e.g., SQL, Python, R, Excel).
- Exposure to real-world data challenges and projects across various business functions.
- Mentorship from experienced data professionals.
- Development of skills in data cleaning, transformation, visualization, and interpretation.
- Opportunities to contribute to data-driven insights and recommendations.
- Hands-on experience with business intelligence tools and reporting dashboards.
- Understanding of data governance and best practices.
- A collaborative and supportive remote learning environment.
This is a fully remote traineeship, allowing you to participate from any location. Our client is committed to fostering a nurturing and challenging virtual learning experience. The successful candidate will demonstrate a keen intellect, a strong desire to learn, and the ability to adapt to new technologies and methodologies in a remote setup. If you are a recent graduate eager to launch a career in data analysis and gain practical experience in a dynamic remote setting, we encourage you to apply. This opportunity is exclusively remote, enabling work from home.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language (e.g., Python, R) is highly desirable.
- Familiarity with SQL and database concepts is a plus.
- Excellent communication and presentation skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and a proactive attitude.
- Genuine interest in data analysis and its business applications.
Lead Geoscientist - Exploration Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Graduate Trainee Program - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Program Duration: 12 Months
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and pre-processing to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and visualizations to communicate findings effectively.
- Support senior analysts in building statistical models and predictive analytics.
- Learn and apply various data analysis tools and techniques.
- Collaborate with team members on data-related projects.
- Contribute to the continuous improvement of data processes and methodologies.
- Participate in training sessions and knowledge-sharing activities.
- Adhere to data privacy and security policies.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages like Python or R is a plus.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
- Excellent communication and interpersonal skills.
- Eagerness to learn and adapt in a remote work setting.
- Ability to work independently and manage time effectively.
- A keen interest in data analysis and its application in business.
This exceptional program offers a fantastic entry point into the field of data analysis, allowing you to learn and grow remotely while contributing to our client's data initiatives in the **Ongata Rongai, Kajiado, KE** vicinity.
Be The First To Know
About the latest Hr analytics Jobs in Kenya !
Remote Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Remote Geological Engineer - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze large geological datasets, including geophysical, geochemical, and drilling data, to identify trends and anomalies.
- Develop and implement geological models and simulations using specialized software.
- Interpret seismic, well log, and core sample data to assess subsurface geology and mineral potential.
- Utilize statistical and machine learning techniques for data interpretation and prediction.
- Collaborate with field geologists and engineers to integrate field observations with analytical results.
- Prepare detailed technical reports, presentations, and visualizations for exploration teams and management.
- Contribute to the design and planning of exploration programs based on data analysis.
- Ensure the accuracy and integrity of geological databases and data management systems.
- Stay current with advancements in geological software, analytical techniques, and exploration technologies.
- Maintain effective communication with remote team members and stakeholders across different time zones.
- Assess geological risks and provide recommendations for mitigation strategies.
- Adhere to all safety and environmental protocols relevant to the mining industry.
- Bachelor's or Master's degree in Geological Engineering, Mining Engineering, Geophysics, or a related field.
- Proven experience in geological data analysis, interpretation, and modeling.
- Proficiency in geological software such as ArcGIS, Leapfrog, Petrel, or similar.
- Strong skills in statistical analysis, data mining, and potentially machine learning.
- Experience with programming languages commonly used in data science (e.g., Python, R) is highly desirable.
- Excellent understanding of geological principles and exploration methodologies.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills for report writing and presentations.
- Ability to work independently and manage projects effectively in a remote setting.
- Familiarity with cloud-based data platforms and collaboration tools.
Principal Geologist - Remote Data Analysis
Posted 2 days ago
Job Viewed