676 Business Data jobs in Kenya
Junior Data Analyst - Business Intelligence
Posted today
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Responsibilities:
- Assist in collecting, cleaning, and preprocessing data from various sources.
- Perform data analysis to identify trends, patterns, and insights.
- Develop and maintain reports and dashboards using BI tools.
- Support senior analysts in interpreting data and generating actionable recommendations.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members on data-related projects.
- Assist in creating data visualizations to communicate findings effectively.
- Learn and apply new data analysis techniques and tools.
- Document data analysis processes and methodologies.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and quantitative skills.
- Basic understanding of statistical concepts.
- Proficiency in Microsoft Excel.
- Familiarity with SQL for data querying is a plus.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is advantageous.
- Excellent attention to detail and problem-solving abilities.
- Good communication and interpersonal skills.
- Eagerness to learn and adapt in a remote setting.
Apprentice Data Analyst - Business Intelligence
Posted today
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- Assisting in the collection, cleaning, and preparation of data from various sources.
- Learning to perform data analysis using statistical methods and tools.
- Developing and maintaining reports and interactive dashboards using business intelligence software (e.g., Tableau, Power BI).
- Supporting the creation of data visualizations to communicate findings effectively.
- Collaborating with team members on data-related projects and ad-hoc requests.
- Learning about data warehousing concepts and database management.
- Participating in team meetings and contributing ideas for data improvement initiatives.
- Gaining exposure to different business functions and understanding how data supports their operations.
- Shadowing senior data analysts to learn best practices and industry standards.
- Completing assigned training modules and learning resources to build technical and analytical skills.
- Currently pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, Business, or a related field.
- Strong interest and aptitude for data analysis and problem-solving.
- Basic understanding of data concepts and familiarity with spreadsheet software (e.g., Microsoft Excel).
- Eagerness to learn new technologies and analytical tools.
- Good communication and teamwork skills.
- Ability to work independently and manage tasks effectively in a remote environment.
- Proactive attitude and a strong desire to develop a career in data analytics.
Apprentice Data Analyst - Business Intelligence
Posted today
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data analysis using SQL and other data manipulation tools.
- Develop reports and dashboards using Business Intelligence tools (e.g., Tableau, Power BI).
- Identify trends, patterns, and anomalies in datasets.
- Support senior analysts in interpreting data and generating insights.
- Learn and apply data visualization best practices.
- Assist in the preparation of presentations for stakeholders.
- Contribute to data quality checks and validation processes.
- Learn about data warehousing concepts and ETL processes.
- Stay updated on emerging trends in data analytics and business intelligence.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong understanding of basic statistical concepts.
- Familiarity with SQL for data querying is a strong advantage.
- Eagerness to learn BI tools like Tableau, Power BI, or similar.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail.
- Good communication skills and ability to present information clearly.
- Self-motivated and able to manage learning and tasks effectively in a remote setting.
- Passion for data and a desire to build a career in analytics.
- Ability to commit to a full-time apprenticeship program.
Senior Data Analyst - Business Intelligence
Posted today
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Key responsibilities include designing and implementing data collection systems, performing data cleaning and transformation, and developing robust analytical models. You will work with stakeholders across various departments to understand their data needs and translate them into analytical requirements. This involves creating compelling data visualizations and reports using BI tools (e.g., Tableau, Power BI) and presenting findings to both technical and non-technical audiences. The ability to identify patterns, anomalies, and opportunities within data, and communicate these insights effectively within a remote team setting, is paramount.
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. A minimum of 4-5 years of experience in data analysis, business intelligence, or a similar role is required. Strong proficiency in SQL, Python or R for data manipulation and analysis, and experience with BI tools like Tableau or Power BI are mandatory. Excellent analytical, critical thinking, and problem-solving skills are essential. You should have experience with data warehousing concepts and ETL processes. The ability to work independently, manage multiple projects, and communicate complex findings clearly in a remote environment is crucial. This is a prime opportunity for a data-driven professional to contribute significantly from a remote location.
Responsibilities:
- Analyze large datasets to identify trends and insights.
- Develop and maintain business intelligence dashboards and reports.
- Perform data cleaning, transformation, and modeling.
- Collaborate with stakeholders to define data requirements.
- Present analytical findings to various audiences.
- Ensure data accuracy and integrity.
- Utilize BI tools and programming languages for analysis.
- Contribute to data-driven decision-making.
- Bachelor's or Master's degree in a quantitative field.
- 4-5 years of experience in data analysis or BI.
- Proficiency in SQL, Python, or R.
- Experience with BI tools (Tableau, Power BI).
- Strong analytical and problem-solving skills.
- Experience with data warehousing and ETL.
- Excellent communication and presentation skills.
- Ability to work effectively in a remote setting.
Junior Data Analyst - Business Intelligence
Posted 1 day ago
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Junior Data Analyst - Business Intelligence
Posted 1 day ago
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Job Description
As a Junior Data Analyst, you will assist senior team members in collecting, cleaning, analyzing, and visualizing data to support business decision-making. You will learn to use various data analysis tools and techniques, contribute to reporting, and help uncover insights that drive strategic initiatives. This role requires a keen eye for detail, a strong desire to learn, and the ability to work effectively within a collaborative team.
Key Responsibilities:
- Assist in gathering and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data accuracy and integrity.
- Support the creation of reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
- Conduct basic data analysis to identify trends, patterns, and anomalies.
- Help in validating data sets and ensuring the accuracy of analyses.
- Prepare data visualizations and charts for presentations.
- Learn and apply statistical methods for data analysis.
- Collaborate with team members on data-related projects.
- Assist in maintaining data dictionaries and documentation.
- Contribute to ad-hoc data requests from different departments.
Qualifications:
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Basic understanding of data analysis concepts and methodologies.
- Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) including functions and pivot tables.
- Exposure to data visualization tools is a plus.
- Strong analytical and problem-solving skills.
- Good attention to detail and accuracy.
- Excellent communication and interpersonal skills.
- Ability to work effectively in a team environment.
- Eagerness to learn and develop new skills in data analytics.
Junior Data Analyst - Business Intelligence
Posted 2 days ago
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Junior Data Analyst - Business Intelligence
Posted 2 days ago
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Job Description
Key Responsibilities:
- Assist in collecting and cleaning large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Create data visualizations and dashboards to communicate findings effectively.
- Support the development and maintenance of business intelligence reports.
- Collaborate with team members to understand data requirements and project objectives.
- Document data analysis processes and methodologies.
- Learn and apply statistical techniques and tools for data interpretation.
- Assist in testing and validating data accuracy and integrity.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Help prepare presentations summarizing analytical results for stakeholders.
- Gain practical experience with data analysis tools and programming languages (e.g., SQL, Python, R).
- Support the data warehousing and ETL processes under guidance.
- Learn about data governance and best practices for data management.
- Assist in identifying key performance indicators (KPIs) relevant to business objectives.
- Contribute to a culture of data-informed decision-making within the organization.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Basic understanding of data analysis principles and statistical concepts.
- Familiarity with SQL for data querying is highly desirable.
- Exposure to programming languages like Python or R for data analysis is a plus.
- Proficiency in Microsoft Excel or Google Sheets for data manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a bonus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage tasks in a remote setting.
- Eagerness to learn and a proactive approach to tasks.
- Strong organizational skills and the ability to manage time effectively.
- Enthusiasm for working with data and uncovering insights.
- Team-oriented with a collaborative mindset.
- Commitment to professional growth and development in the data field.
Junior Data Analyst - Business Intelligence
Posted 2 days ago
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Job Description
Junior Data Analyst, Business Intelligence
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform data analysis using statistical methods and tools to identify trends and patterns.
- Develop reports and dashboards to visualize data and present findings to stakeholders.
- Support the Business Intelligence team in maintaining and improving data quality.
- Help in creating documentation for data processes and analysis methodologies.
- Collaborate with team members on data-related projects and initiatives.
- Learn and apply new data analysis techniques and technologies.
- Assist in identifying areas for data-driven improvement within the organization.
- Prepare presentations and reports summarizing key analytical findings.
- Respond to ad-hoc data requests from various departments.
Required Qualifications:
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Recent graduates are encouraged to apply.
- Basic understanding of data analysis principles and methodologies.
- Familiarity with data analysis tools such as Excel, SQL, Python (Pandas, NumPy), or R is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good communication and interpersonal skills, essential for remote collaboration.
- Ability to learn quickly and adapt to new technologies.
- Proactive attitude and willingness to take initiative.
- Must be able to work independently and manage time effectively in a remote setting.
- A keen interest in data and business intelligence.
This internship provides a fantastic launchpad for your data analytics career, offering hands-on experience and mentorship in a fully remote setup. Join our innovative team and help us unlock the power of data.