264 Remote Graduate Data Analyst Program jobs in Nairobi
Remote Graduate Data Analyst Program
Posted 19 days ago
Job Viewed
Job Description
Key Learning Opportunities and Responsibilities:
- Learn and apply various data analysis techniques using industry-standard tools (e.g., SQL, Python, R, Tableau).
- Assist in data cleaning, transformation, and preparation for analysis.
- Develop data visualizations and dashboards to communicate findings effectively.
- Support senior analysts in identifying trends, patterns, and anomalies in data.
- Contribute to the development of analytical models and reports.
- Participate in virtual team meetings and collaborative problem-solving sessions.
- Gain exposure to business problems and understand how data drives solutions.
- Receive mentorship and guidance from experienced data professionals.
- Complete assigned projects within specified timelines and quality standards.
- Engage in continuous learning through online resources and workshops.
Ideal Candidate Profile:
- 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.
- Strong analytical and critical thinking skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with database concepts and SQL.
- Excellent communication skills, both written and verbal, for effective remote collaboration.
- Self-motivated, eager to learn, and able to work independently.
- A passion for data and a desire to understand the story it tells.
- Prior internship or project experience in data analysis is a plus, but not strictly required.
- Ability to adapt to a remote work environment and manage time effectively.
Junior Data Analyst - Graduate Program
Posted 19 days ago
Job Viewed
Job Description
What you'll do:
- Assist in data collection from various sources and ensure data integrity.
- Perform data cleaning and preprocessing tasks to prepare data for analysis.
- Conduct exploratory data analysis to identify trends and patterns.
- Generate reports and visualizations to communicate findings to stakeholders.
- Support senior analysts in developing data-driven strategies.
- Learn and apply statistical methods and data mining techniques.
- Contribute to the development and maintenance of data dashboards.
- Participate in team meetings and contribute to project discussions.
- Gain exposure to various data analysis tools and software.
- Adhere to data privacy and security best practices.
What you'll need:
- A recent Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel or Google Sheets.
- Familiarity with data analysis concepts and techniques.
- Basic understanding of SQL is a plus.
- Eagerness to learn and adapt to new technologies.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A proactive and detail-oriented approach to tasks.
Remote Junior Data Analyst (Graduate Program)
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, extraction, and cleaning from various sources.
- Perform data analysis to identify trends, patterns, and insights.
- Create clear and informative data visualizations and reports.
- Support senior analysts in developing dashboards and analytics tools.
- Collaborate with team members on data-related projects in a remote environment.
- Learn and apply statistical analysis techniques.
- Assist in documenting data processes and methodologies.
- Contribute to the development of data models and algorithms under supervision.
- Participate in virtual team meetings and discussions.
- Seek opportunities for continuous learning and skill development in data analytics.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with statistical concepts and data analysis principles.
- Basic knowledge of SQL, Python, or R is a plus.
- Excellent written and verbal communication skills, suitable for remote collaboration.
- Ability to work independently and manage time effectively in a remote setting.
- High level of attention to detail and accuracy.
- Enthusiasm for learning new technologies and methodologies in data analytics.
- A proactive and team-oriented mindset.
Junior Data Analyst - Graduate Program (Remote)
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure accuracy and consistency.
- Conduct basic statistical analyses to identify trends and patterns.
- Generate reports and visualizations to communicate findings to the team.
- Support senior analysts in ad-hoc data requests and projects.
- Learn and apply data analysis techniques using tools like Excel, SQL, and Python (or R).
- Participate in team meetings and contribute to data-related discussions.
- Develop an understanding of business processes and how data analysis supports them.
- Document methodologies and findings clearly.
- Adhere to data privacy and security policies.
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.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Eagerness to learn and adapt to new technologies and tools.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote setting.
- Prior exposure to SQL, Python, or R is a plus.
- A keen interest in data analysis and its business applications.
- Must be eligible to work in Kenya and able to participate in this remote program based out of Mombasa, Mombasa, KE .
Junior Data Analyst (Remote Graduate Program)
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards to visualize key metrics and insights.
- Support senior analysts in developing and implementing data models.
- Contribute to the documentation of data processes and findings.
- Collaborate with team members to understand business requirements and translate them into data-driven solutions.
- Learn and apply various data analysis tools and techniques.
- Assist in identifying areas for process improvement within data management and reporting.
- Participate in team meetings and contribute to discussions on data strategy.
- Gain exposure to different analytical methodologies and software.
- Undertake specific data-related projects as assigned by mentors.
- Adhere to data privacy and security protocols.
- 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.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying is highly desirable.
- Basic understanding of statistical concepts and data visualization principles.
- Excellent attention to detail and ability to work with large datasets.
- Strong written and verbal communication skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- A keen interest in data and its potential to drive business decisions.
- Enthusiasm and a positive attitude towards teamwork and collaborative projects.
Sports Analytics Specialist, Performance Optimization
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
- Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
- Analyze game footage and athlete movements to extract key performance indicators (KPIs).
- Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
- Create comprehensive reports and visualizations to communicate findings effectively.
- Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
- Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
- Contribute to the development of new data collection and analysis methodologies.
- Ensure data integrity and confidentiality.
- Present findings and recommendations in a compelling manner to stakeholders.
This role is fully remote, offering the ultimate flexibility, though the insights generated will support athletic endeavors potentially in regions known for vibrant sporting cultures, such as **Malindi, Kilifi, KE**. We are seeking candidates with a strong background in statistics, data science, or a related quantitative field, combined with a profound understanding of sports. Excellent communication and data visualization skills are essential. If you are driven by uncovering hidden patterns in data to elevate athletic achievement, apply now.
Senior HR Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement HR analytics strategies and solutions.
- Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
- Develop and maintain HR dashboards and reports to visualize key metrics and insights.
- Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
- Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Ensure data integrity, accuracy, and compliance with data privacy regulations.
- Stay current with the latest trends and best practices in HR analytics and people data science.
- Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
- Collaborate with IT and data management teams to ensure robust data infrastructure.
Qualifications:
- Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
- Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
- Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
- Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication and presentation skills.
- Ability to work independently and manage multiple complex projects in a remote environment.
- Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
- Demonstrated ability to influence stakeholders and drive data-informed decision-making.
- Strong ethical grounding and commitment to data privacy.
Be The First To Know
About the latest Remote graduate data analyst program Jobs in Nairobi !
Remote Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, clean, and process large datasets from various sports events and platforms.
- Develop and implement statistical models to analyze player performance, team strategies, and game outcomes.
- Create compelling data visualizations and reports to communicate findings to coaches, management, and other stakeholders.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Conduct predictive analysis to forecast game results, player development, and injury risks.
- Collaborate with coaching staff to translate data insights into practical game plans and training regimes.
- Stay abreast of the latest trends and advancements in sports analytics, data science, and related technologies.
- Develop and maintain databases and dashboards for real-time performance monitoring.
- Contribute to the development of innovative analytical tools and methodologies.
- Present findings and recommendations clearly and concisely to diverse audiences.
- Assist in scouting and player recruitment by analyzing potential talent based on performance metrics.
Qualifications:
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Sports Science, or a related quantitative field.
- Proven experience in sports analytics, data analysis, or a similar role.
- Proficiency in statistical programming languages such as R, Python, or SQL.
- Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
- Strong understanding of statistical modeling, machine learning, and predictive analytics techniques.
- Deep knowledge of sports rules, strategies, and common performance metrics across multiple disciplines.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Experience with the sports landscape in **Mombasa, Mombasa, KE** is a plus, but not mandatory for this remote position.
Lead Sports Analytics Specialist - Remote
Posted 11 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated statistical models and algorithms to analyze sports performance data.
- Identify trends, patterns, and insights that can enhance athletic performance, strategy, and fan experience.
- Collaborate with coaches and athletes to understand their data needs and provide tailored analytical support.
- Lead and mentor a team of junior sports analysts, fostering a culture of innovation and continuous learning.
- Develop and maintain robust data pipelines and ensure data integrity.
- Create compelling data visualizations and reports to communicate findings to diverse audiences.
- Contribute to the development of new analytical tools and platforms.
- Stay current with advancements in sports analytics, machine learning, and relevant technologies.
- Present findings and recommendations to senior management and key stakeholders.
- Manage multiple analytical projects concurrently, ensuring timely delivery and impactful results.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in sports analytics or a related field, with a proven track record of leadership.
- Expertise in statistical modeling, machine learning techniques, and data mining.
- Proficiency in programming languages such as Python or R, and experience with SQL.
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports and their underlying performance metrics.
- Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Demonstrated ability to lead and manage a team in a remote setting.
- Strong problem-solving skills and a passion for sports innovation.
Information Technology Specialist
Posted today
Job Viewed
Job Description
About Skillmind Software Limited
Skillmind Software Limited is a leading technology solutions provider specializing in SaaS, ERP, and AI-driven digital transformation across Africa. We develop and implement products such as CloudHR, CloudWage, TimeTrax, HR Genie, WizERP, and WizPOS, serving enterprises across multiple industries including hospitality, manufacturing, logistics, and professional services.
We are committed to innovation, reliability, and excellence — building products that simplify business processes and empower organizations through technology.
Position Overview
We are seeking an experienced and hands-on IT Technical Lead to provide both technical leadership and development oversight across our software projects. The ideal candidate will guide, mentor, and support a cross-functional team of developers while also contributing directly to software design, architecture, and development.
This role requires a strong foundation in full-stack development, modern cloud architectures, and agile delivery practices. The incumbent will collaborate closely with the CTO, Project Managers, and Product Owners to ensure technical excellence and timely delivery of projects.
Key Responsibilities
Technical Leadership & Mentorship
- Lead and mentor software developers (backend, frontend, QA, DevOps).
- Conduct regular code reviews, design reviews, and technical sessions.
- Guide the team on best practices for coding standards, testing, and deployment.
Software Design & Development
- Architect and develop scalable web and enterprise solutions using modern frameworks.
- Write clean, maintainable, and efficient code across multiple projects.
- Participate in sprint planning, backlog grooming, and solution design.
Project Oversight
- Ensure technical feasibility and robustness of project implementations.
- Collaborate with UI/UX, QA, and DevOps teams to streamline development workflows.
- Monitor progress, identify technical risks, and propose mitigation strategies.
Innovation & Research
- Evaluate emerging technologies, frameworks, and tools for potential adoption.
- Drive automation, CI/CD pipeline improvements, and performance optimizations.
- Support AI and integration initiatives (Sage, SAP, Odoo, HR Genie).
Stakeholder Collaboration
- Work closely with management and product teams to translate business needs into technical requirements.
- Provide regular technical updates and documentation for management reporting.
Required Skills and Experience
- Education:
Bachelor's degree in Computer Science, Software Engineering, or related field. - Experience:
Minimum 5+ years in software development with 2+ years in a technical leadership or senior engineering role.
Technical Skills:
- Strong expertise in at least two programming languages (e.g., Python, C#, JavaScript/TypeScript, or PHP).
- Experience with Django, .NET, , or React frameworks.
- Proficiency in SQL/MySQL, RESTful APIs, and microservice architectures.
- Familiarity with cloud platforms (Azure/AWS/GCP) and containerization (Docker/Kubernetes).
- Exposure to AI/ML integrations and ERP/HRIS systems (Sage, SAP, Odoo) is a plus.
Soft Skills:
- Excellent communication and interpersonal skills.
- Strong problem-solving and analytical thinking.
- Ability to work under pressure and manage multiple projects concurrently.
- Passion for mentoring and leading by example.
What We Offer
- Competitive salary (commensurate with experience)
- Performance-based bonuses
- Opportunity to lead impactful digital transformation projects
- Exposure to international markets and clients
- Collaborative and innovative work culture