2,272 Analytical jobs in Kenya

• Assist in collecting, cleaning, and organizing data from various e-commerce platforms and sources.
• Perform basic data analysis to identify trends, patterns, and anomalies in customer behavior, sales, and marketing campaigns.
• Develop reports and dashboards to visualize key performance indicators (KPIs) and present findings to the team.
• Support senior analysts in conducting in-depth analyses and contributing to strategic recommendations.
• Help monitor website analytics and user engagement metrics.
• Learn and apply statistical techniques and data analysis methodologies.
• Collaborate with team members on data-related projects and tasks.
• Ensure data accuracy and integrity in all analytical processes.
• Assist in the preparation of presentations and documentation of analytical findings.
• Stay curious and eager to learn new data analysis tools and techniques.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and data analysis principles.
• Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets) with the ability to perform complex functions and pivot tables.
• Basic understanding of database concepts and SQL is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Effective written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and adapt in a dynamic environment.

• Assist in collecting and organizing data from various internal and external sources, including surveys, databases, and public records.
• Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
• Conduct preliminary data analysis using statistical methods and software tools.
• Help generate reports and visualizations to present data findings to the team.
• Support senior analysts in developing market research methodologies and survey instruments.
• Identify trends, patterns, and anomalies within datasets and flag them for further investigation.
• Learn and apply new analytical techniques and tools as required.
• Contribute to the documentation of data sources, methodologies, and findings.
• Collaborate with team members remotely to discuss project progress and findings.
• Assist in preparing presentations summarizing research insights.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Foundational understanding of statistical concepts and data analysis principles.
• Familiarity with data analysis tools such as Excel, and basic knowledge of SQL, Python, or R is a plus.
• Strong analytical and problem-solving skills with a high level of attention to detail.
• Excellent written and verbal communication skills, with the ability to clearly articulate findings.
• Ability to work independently and manage time effectively in a remote environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• A genuine interest in market research and data-driven decision-making.
• Proactive and able to take initiative on assigned tasks.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Create clear and concise data visualizations, charts, and graphs to communicate findings.
• Support senior analysts in generating regular reports and dashboards for business stakeholders.
• Conduct research to gather market insights and competitive intelligence.
• Help in developing and maintaining data documentation and process flows.
• Assist in testing and validating data integrity and accuracy.
• Learn and apply various data analysis techniques and tools.
• Collaborate with team members on data-related projects and initiatives.
• Contribute to a data-driven culture by proactively identifying opportunities for analysis.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) and data manipulation techniques.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of programming languages like Python or R for data analysis is advantageous.
• Excellent written and verbal communication skills.
• Ability to work independently, manage tasks effectively, and meet deadlines in a remote setting.
• A proactive attitude and a strong desire to learn and grow in the field of data analytics.
• A dedicated home workspace with reliable internet access is essential.

• Assist in the collection and organization of diverse datasets.
• Perform data cleaning and pre-processing tasks.
• Conduct preliminary statistical analysis under supervision.
• Help in the creation of charts, graphs, and data visualizations.
• Contribute to the preparation of research reports and presentations.
• Support senior analysts in various data-related projects.
• Learn and apply data analysis methodologies and tools.
• Maintain data integrity and accuracy throughout the analysis process.
• Participate in team meetings and contribute ideas.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with database concepts or basic SQL is a plus.
• Eagerness to learn new tools and techniques.
• Good 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.

• Assist senior analysts in data collection, cleaning, and validation processes using various tools and techniques.
• Develop and maintain reports, dashboards, and visualizations to track key performance indicators (KPIs) and business trends.
• Conduct exploratory data analysis to identify patterns, anomalies, and potential areas for improvement.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Learn and apply statistical methods and data modeling techniques to solve business problems.
• Participate in team meetings and contribute to strategic discussions about data utilization.
• Maintain documentation of data sources, methodologies, and analytical findings.
• Proactively identify opportunities to enhance data quality and analytical processes.
• Stay updated with the latest trends and technologies in data analytics.
• Support ad-hoc analytical requests from various departments.

• A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in data manipulation and analysis tools (e.g., Excel, SQL, Python/R is a plus).
• Excellent problem-solving and critical-thinking skills.
• Strong attention to detail and accuracy.
• Effective communication and interpersonal skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently and collaboratively in a remote setting.
• A proactive and eager-to-learn attitude.

• Assist in collecting, cleaning, and organizing large datasets related to e-commerce sales, website traffic, and customer behavior.
• Perform basic data analysis to identify trends, patterns, and insights related to product performance, marketing campaigns, and customer segmentation.
• Generate reports and visualizations to communicate findings to the team.
• Support the analytics team in tracking key performance indicators (KPIs) for e-commerce operations.
• Learn and apply various data analysis techniques and tools.
• Contribute to ad-hoc data requests and projects as needed.
• Maintain data integrity and ensure accuracy in reporting.
• Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
• Assist in documenting data analysis processes and methodologies.
• Gain practical experience in the e-commerce industry and data analytics field.

• Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Foundational understanding of statistical concepts and data analysis principles.
• Familiarity with data analysis tools such as Excel, SQL, or basic programming languages (Python/R) is a plus.
• Strong analytical and problem-solving skills.
• 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 adapt to new technologies and methodologies.
• A passion for data and its application in business contexts.
• Prior experience with e-commerce data is a bonus but not required.

• Assist senior analysts in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic statistical analysis and data visualization to identify trends and patterns.
• Support the development of reports and presentations summarizing data findings for internal stakeholders.
• Help in the testing and validation of data models and analytical tools.
• Contribute to data quality assurance efforts, ensuring accuracy and integrity of datasets.
• Learn and apply new data analysis techniques and software under the guidance of experienced mentors.
• Participate in team meetings and brainstorming sessions, contributing fresh perspectives.
• Assist in the documentation of data processes, methodologies, and findings.
• Support ad-hoc data requests from different departments.
• Gain practical experience in SQL, Python or R for data manipulation and analysis.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a closely related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel and a foundational knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Familiarity with programming languages commonly used in data analysis such as Python or R is advantageous.
• Excellent attention to detail and a commitment to data accuracy.
• Strong analytical and problem-solving skills.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively in a remote team setting.
• Enthusiasm to learn and a proactive attitude towards new challenges.
• Must be eligible to participate in an internship program.

Company Description
Infotrak Research and Consulting is a full service research company that was founded in 2004 following the vision of the founder to provide the Pan African Market with suitable information solutions required to sustain the ever-growing economies in the continent.

Headquartered in Nairobi, Kenya, Infotrak also has affiliate offices in Uganda, Tanzania, Nigeria and field contacts in more than 12 other countries in Sub Saharan Africa. The firm attributes its rapid growth to not only innovation, high level of professionalism and dynamism, but also on the excellent caliber of personnel who have been described by many as "Business minds who specialize in research".

Services provided include: Customer & Employee Satisfaction Surveys, Market Segmentation Studies, Brand Health checks, Consumer Usage and attitude studies, advertising awareness/impact surveys, advertising pre-post testing, media surveys, pricing studies, new product research, market feasibilities, formative research, perception surveys, KAP studies etc.

Job Description
We are seeking a highly skilled and detail-oriented Data Analyst with a minimum of five (5) years' experience in data analytics to join our dynamic team. The ideal candidate should have a strong background in statistical analysis, data management, and visualization.

Key Responsibilities:

• Process, clean, and validate large datasets from various sources.
• Prepare survey sampling designs.
• Perform statistical analysis and interpretations to identify trends, patterns, and correlations.
• Develop dashboards, reports, and data visualizations to support business objectives.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Apply advanced analytical techniques to solve complex problems.
• Ensure data integrity, confidentiality, and compliance with relevant policies and regulations.
• Implement process improvements and data-driven strategies to optimize performance.

Qualifications

• Bachelor's degree in Statistics or a related field. Master's degree will be an added advantage.
• Minimum of five (5) years' proven experience in data analytics, statistical modelling, and reporting.
• Proficiency in statistical tools and programming languages (e.g., SPSS, STATA, MS Excel, R, and Python).
• Strong experience with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information

This job is full time job and the applicant must be willing to work outside of the country.

If you meet the above requirements, send your CV with a cover letter and testimonials to

the contact address provided.

NB: Ladies are strongly encouraged to apply.

• Assist in collecting, cleaning, and organizing agricultural and forestry data.
• Perform basic data analysis using statistical software and tools.
• Contribute to the development of reports and visualizations to present findings.
• Support senior analysts in identifying trends and patterns in agricultural datasets.
• Learn and apply data analysis techniques relevant to crop management, resource allocation, and sustainability.
• Assist in maintaining data integrity and accuracy.
• Collaborate effectively with team members in a remote setting.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Gain exposure to various data analysis tools and methodologies.

• Pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Agriculture, Forestry, Computer Science, or a related quantitative field.
• Basic understanding of data analysis concepts and statistical methods.
• Familiarity with data analysis tools such as Excel, R, Python (Pandas, NumPy), or SQL is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently and manage time effectively in a remote environment.
• Interest in agriculture, forestry, or related environmental sciences.