1,852 Data Entry Roles jobs in Kenya

• Assist in collecting, cleaning, and transforming large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development of reports, dashboards, and visualizations.
• Learn and apply various data analysis techniques and statistical methods.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Help document data processes and analytical methodologies.
• Contribute to the testing and validation of data models.
• Gain proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Participate in team meetings and contribute ideas for data-driven solutions.
• Present findings and insights to the team.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Basic proficiency in at least one programming language (e.g., Python, R) and SQL.
• Excellent analytical and problem-solving skills.
• Meticulous attention to detail and accuracy.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work independently and manage time effectively in a remote setting.
• Enthusiastic learner with a passion for data and technology.
• Previous internship or project experience in data analysis is a plus.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preparation for analysis.
• Conduct basic data analysis to identify trends and patterns.
• Support the creation of data visualizations and reports.
• Learn and apply various data analysis tools and techniques.
• Collaborate with team members on data-related projects.
• Assist in documenting data processes and findings.
• Participate in training sessions and team meetings.
• Contribute to problem-solving and insight generation.
• Develop foundational skills in data analysis and interpretation.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Interest in data analysis and a desire to learn.
• Basic understanding of statistical concepts is a plus.
• Familiarity with Excel, SQL, Python, or R is beneficial but not required.
• Excellent communication and interpersonal skills for remote collaboration.
• Ability to work independently and manage time effectively in a remote setting.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning, validation, and transformation tasks to ensure data integrity.
• Generate routine reports and basic data visualizations (charts, graphs).
• Support senior analysts in performing data analysis and identifying trends.
• Document data processes and methodologies clearly.
• Contribute to the maintenance and organization of databases.
• Assist in developing dashboards and performance metrics.
• Learn and apply new data analysis techniques and tools.
• Collaborate effectively with team members in a remote setting.
• Provide support for ad-hoc data requests and analysis.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, including formulas, pivot tables, and charts.
• Basic understanding of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent 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 develop skills in data analysis.
• Proactive attitude and strong work ethic.
• Enthusiasm for data-driven insights.

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain data visualizations and dashboards to communicate findings effectively.
• Support senior analysts in generating reports and presenting insights to stakeholders.
• Contribute to the development and testing of analytical models.
• Learn and apply statistical methods and data mining techniques.
• Collaborate with cross-functional teams through virtual meetings and communication platforms.
• Maintain documentation for data processes and analyses.
• Adhere to data privacy and security best practices.

• Recently graduated with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of basic statistical concepts and analytical principles.
• Proficiency in at least one data analysis programming language (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills for effective remote collaboration.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is advantageous.

• Analyze project data to identify key trends, performance indicators, and areas for improvement.
• Develop and maintain dashboards and reports to visualize project progress and metrics.
• Collaborate with project managers to define data requirements and provide analytical support.
• Identify and address data quality issues to ensure accuracy and reliability.
• Utilize statistical methods and tools to perform in-depth data analysis.
• Communicate complex findings and recommendations to stakeholders in a clear and concise manner.
• Design and implement data collection strategies for project performance tracking.
• Support the continuous improvement of data analysis processes and tools.
• Stay updated with the latest trends in data analytics and project management reporting.
• Contribute to data-driven decision-making across project teams.

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, with a focus on project performance analysis.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools (e.g., Tableau, Power BI, QlikView).
• Solid understanding of statistical analysis techniques.
• Experience with Python or R for data analysis is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to communicate complex data insights effectively to various audiences.
• Proven experience working effectively in a fully remote environment.
• Strong organizational and time management skills.
• Familiarity with project management principles and methodologies.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform basic data analysis using statistical methods and tools.
• Identify patterns, trends, and anomalies within datasets.
• Create clear and concise data visualizations (charts, graphs, dashboards) to represent findings.
• Support senior analysts in developing reports and presentations on data insights.
• Learn and apply data analysis techniques and methodologies.
• Collaborate with team members on data-related tasks and projects.
• Help maintain data integrity and accuracy.
• Assist in documenting data sources, methodologies, and findings.
• Gain exposure to various data analysis tools and software.
• Contribute to a positive and productive remote team environment.
• Ask questions and seek guidance to enhance learning and development.

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, including pivot tables and advanced functions.
• Basic understanding of data analysis concepts and principles.
• Familiarity with at least one programming language for data analysis (e.g., Python, R) is a plus.
• Eagerness to learn and a strong work ethic.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Attention to detail and a commitment to accuracy.
• Passion for data and its potential to drive insights.
• Must have access to a reliable internet connection and a suitable workspace.

About the Company

At 
SkyTeamersHQ
, we're redefining what it means to work remotely. We specialize in connecting businesses with exceptional remote professionals who help streamline operations, improve efficiency, and ensure data accuracy across global teams.

Our company is built on the values of 
integrity, precision, teamwork, and innovation
. We work with clients across industries—from eCommerce and logistics to finance and healthcare—providing reliable data management and back-office solutions.

SkyTeamersHQ is more than a workplace—it's a global community of high-performing individuals who believe in remote excellence, continuous learning, and professional growth.

About the Job

We are seeking a 
detail-oriented and dependable Data Entry Specialist
 to join our remote team full-time. In this role, you will be responsible for accurately entering, updating, and maintaining data across various systems and databases. You will support our clients by ensuring information is clean, consistent, and readily accessible for operational and decision-making purposes.

This position requires a 
keen eye for detail, strong time management skills, and a high level of accuracy
. The ideal candidate is someone who thrives in a structured environment, enjoys working with data, and can manage repetitive tasks with focus and efficiency.

What We're Looking For

• Proven experience as a 
  Data Entry Clerk, Data Entry Operator, or similar administrative role
  .
• Excellent 
  typing speed and accuracy
   (minimum of 50 WPM preferred).
• High attention to detail and commitment to maintaining data integrity.
• Strong organizational and time management skills.
• Ability to handle confidential information responsibly.
• Proficiency with 
  Microsoft Excel, Google Sheets, and data management tools
  .
• Familiarity with CRM systems, ERP software, or database management (a plus).
• Excellent communication skills in English (written and verbal).
• Ability to work independently, meet deadlines, and manage multiple tasks simultaneously.
• Reliable computer, internet connection, and a quiet workspace suitable for remote work.

Responsibilities

• Accurately input, update, and verify data across multiple systems and platforms.
• Review and correct data to ensure consistency, completeness, and accuracy.
• Maintain organized and secure digital records for easy retrieval.
• Cross-check data with source documents to eliminate errors.
• Support reporting processes by preparing data summaries or basic reports as requested.
• Assist in data migration, cleaning, and formatting tasks for various projects.
• Collaborate with project managers and other team members to meet deadlines.
• Identify and flag inconsistencies, missing data, or potential system improvements.
• Handle sensitive client or company data with strict confidentiality.
• Follow company procedures and data entry best practices to maintain high standards of quality.

We are seeking a detail-oriented and highly organized
Data Entry Specialist
to join our team. The ideal candidate will be responsible for accurately inputting, updating, and maintaining information in our databases and systems. This position requires excellent typing skills, attention to detail, and the ability to handle confidential information with integrity.