819 Data Entry Specialists jobs in Nairobi

Our client is looking for a highly analytical and detail-oriented
Data Entry Specialist
to join its team. The ideal candidate is someone with a critical eye, speed, and precision, who takes ownership of their work and ensures data accuracy and organization. A strong sense of responsibility and a proactive approach to maintaining data integrity are essential.

Key Responsibilities:

• Accurately input data into company databases, spreadsheets, and systems

• Organize and maintain both electronic and physical files

• Clean and format data for reporting and analysis

• Conduct regular quality checks to ensure consistency and accuracy

• Support light administrative tasks as needed

• Ensure confidentiality of all company and client information

LOCATION: ON SITE - Royal Offices, Mogotio Road, Westland - Office 32/33, Nairobi Kenya

SHIFT: Monday to Friday 4pm - 1am Kenya time

• Assist in collecting, cleaning, and preparing data from various sources for analysis.
• Perform basic data analysis tasks, identifying trends, patterns, and insights under the guidance of senior team members.
• Create data visualizations, such as charts and graphs, to communicate findings effectively.
• Support the development and maintenance of reports and dashboards.
• Contribute to data quality checks and validation processes.
• Learn and apply statistical methods and analytical techniques to solve business problems.
• Assist in documenting data processes, methodologies, and findings.
• Collaborate with team members on data-related projects.
• Develop proficiency in data analysis tools and software.
• Participate in team meetings and contribute to discussions on data insights.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Familiarity with data analysis concepts and tools (e.g., Excel, SQL).
• Basic understanding of statistical concepts is a plus.
• Eagerness to learn and develop skills in data analysis and visualization.
• Good communication skills, both written and verbal.
• Ability to work independently and as part of a remote team.
• Proactive and detail-oriented approach to tasks.
• Previous internship or project experience in data analysis is beneficial but not required.
• Enthusiasm for leveraging data to drive business outcomes.

• Accurately input, update, and verify data in various databases and information systems.
• Review data for errors or discrepancies and correct them as necessary.
• Organize and maintain digital files and records.
• Perform data cleansing and validation tasks to ensure data accuracy and completeness.
• Generate reports based on entered data as required.
• Adhere to strict data privacy and confidentiality guidelines.
• Communicate with team members or supervisors regarding data entry issues or updates.
• Manage multiple data entry projects simultaneously, meeting established deadlines.
• Utilize data entry software and tools efficiently.
• Proactively identify areas for process improvement in data management.

• High school diploma or equivalent; further education in a relevant field is a plus.
• Proven experience in data entry or a similar administrative role.
• Exceptional typing speed and accuracy.
• Strong understanding of data management principles and best practices.
• Proficiency in Microsoft Office Suite, particularly Excel, and database software.
• Excellent attention to detail and commitment to accuracy.
• Ability to work independently with minimal supervision in a remote setting.
• Good organizational and time management skills.
• Effective written and verbal communication skills.
• Reliable internet connection and a dedicated workspace.

• 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.

• Design and remotely manage agricultural research trials focused on crop performance, soil health, and sustainable practices.
• Analyze field data (e.g., yield, soil nutrient levels, weather patterns, pest incidence) using statistical software and agricultural platforms.
• Develop data-driven recommendations for crop fertilization, irrigation, pest management, and disease control strategies.
• Provide expert agronomic advice and technical support to farmers and agricultural stakeholders through virtual consultations.
• Stay abreast of the latest advancements in agronomy, agricultural technology (AgTech), and sustainable farming methods.
• Contribute to the development of new agricultural products, services, and best practices.
• Prepare technical reports, research summaries, and client-facing documentation.
• Collaborate with cross-functional teams, including R&D, data science, and product development, in a remote setting.
• Identify emerging agricultural challenges and propose innovative solutions.
• Promote best practices for crop health and yield maximization.

• Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a related field.
• Minimum of 6 years of experience in agronomy, crop management, or agricultural research.
• Proven experience in designing and analyzing agricultural field trials.
• Strong knowledge of soil science, plant physiology, entomology, and plant pathology.
• Proficiency in data analysis tools (e.g., R, SAS, SPSS) and agricultural software platforms.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to present complex technical information clearly.
• Demonstrated ability to work independently, manage research projects, and deliver results in a remote environment.
• Passion for sustainable agriculture and innovation in the agricultural sector.
• Experience with remote sensing or precision agriculture technologies is a plus.