36 Report Generation jobs in Kenya
Junior Data Analyst - Business Intelligence
Posted today
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Junior Data Analyst - Business Intelligence
Posted 2 days ago
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- Assist in the collection, cleaning, and pre-processing of data from various sources.
- Perform data analysis using statistical techniques and tools to identify trends, patterns, and anomalies.
- Support the development and maintenance of dashboards and reports for business performance monitoring.
- Help in the creation of visualizations to communicate data insights effectively.
- Collaborate with senior data analysts and business stakeholders to understand data requirements.
- Assist in the validation and testing of data models and reports.
- Document data processes, methodologies, and findings.
- Stay updated with emerging trends and best practices in data analysis and business intelligence.
- Participate in team meetings and contribute ideas for data-driven improvements.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic proficiency in SQL for data extraction and manipulation.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Experience with programming languages like Python or R for data analysis is advantageous.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and tools.
Junior Data Analyst - Business Intelligence
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in collecting and organizing data from various internal and external sources.
- Perform data cleaning and pre-processing tasks to ensure data accuracy and consistency.
- Support the development and maintenance of reports, dashboards, and visualizations using BI tools.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Help in the creation of ad-hoc analyses to address specific business questions.
- Collaborate with senior analysts to understand data requirements and project objectives.
- Learn and apply statistical methods and data modeling techniques.
- Contribute to the documentation of data sources, methodologies, and findings.
- Participate in team meetings and contribute to brainstorming sessions for data-driven solutions.
- Develop a strong understanding of the business context and how data supports strategic goals.
- Adhere to data privacy and security policies.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related quantitative field.
- Solid understanding of basic statistical concepts and data analysis principles.
- Familiarity with data manipulation and analysis using tools such as Excel, SQL, or Python/R is a plus.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker) is an advantage.
- Excellent attention to detail and accuracy in handling data.
- Strong problem-solving skills and a logical approach to analysis.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and develop new skills in data analytics and business intelligence.
- Proactive attitude and a strong desire to contribute to team success.
Graduate Data Analyst - Business Intelligence
Posted 4 days ago
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Junior Data Analyst - Business Intelligence
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in gathering and cleaning data from various sources, ensuring data accuracy and integrity.
- Perform data transformations and aggregations to prepare datasets for analysis.
- Develop reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to visualize key performance indicators (KPIs).
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Support the creation of ad-hoc reports and analyses as requested by business stakeholders.
- Document data sources, methodologies, and analysis processes.
- Collaborate with senior analysts and team members to understand business requirements and translate them into data solutions.
- Contribute to the continuous improvement of data quality and reporting processes.
- Learn and apply new data analysis techniques and tools.
Qualifications:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Basic understanding of statistical concepts and data analysis principles.
- Proficiency in SQL for data querying and manipulation.
- Familiarity with at least one data visualization tool (e.g., Tableau, Power BI, Looker).
- Strong analytical and problem-solving skills with a high level of accuracy and attention to detail.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and meet deadlines in a remote work environment.
- A proactive attitude and a strong willingness to learn.
This is a fully remote position, allowing you to develop your data analytics career from the convenience of your home, contributing valuable insights to our client's strategic initiatives.
Remote Senior Data Analyst - Business Intelligence
Posted 2 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and preprocess large datasets from various sources to ensure data accuracy and integrity.
- Develop and maintain business intelligence dashboards and reports using tools such as Tableau, Power BI, or Looker.
- Perform in-depth data analysis to identify trends, patterns, and correlations relevant to business objectives.
- Translate business requirements into analytical models and data visualizations.
- Provide actionable insights and recommendations to stakeholders based on data analysis findings.
- Collaborate with business units to understand their data needs and reporting requirements.
- Develop and implement data quality standards and best practices.
- Automate reporting processes where possible to improve efficiency.
- Conduct statistical analysis and predictive modeling to support strategic decision-making.
- Present findings and insights to technical and non-technical audiences through clear and compelling visualizations and reports.
- Stay updated on the latest data analysis techniques, tools, and industry trends.
- Assist in the design and implementation of data warehousing solutions.
- Perform ad-hoc data analysis as required to support specific business initiatives.
- Ensure data governance and compliance with data privacy regulations.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Minimum of 5-7 years of experience in data analysis, business intelligence, or a related role.
- Proven experience with BI tools such as Tableau, Power BI, QlikView, or similar platforms.
- Proficiency in SQL for data extraction and manipulation.
- Strong understanding of statistical analysis methods and data modeling techniques.
- Experience with programming languages like Python or R for data analysis is highly desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to explain complex data insights clearly.
- Ability to work independently and manage multiple projects simultaneously in a remote environment.
- Familiarity with data warehousing concepts and ETL processes.
- Attention to detail and a commitment to data accuracy.
- This role is based in Kericho, Kericho, KE , but operates fully remotely.
Graduate Trainee, Data Analytics & Business Intelligence
Posted 2 days ago
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Job Description
- Assist senior data analysts and business intelligence specialists in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical techniques and tools to identify trends, patterns, and insights.
- Develop and create reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI) to communicate findings effectively.
- Support the development and implementation of business intelligence solutions for clients.
- Learn and apply various data modeling and database management techniques.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Participate in training sessions, workshops, and team meetings, contributing actively to knowledge sharing.
- Assist in documenting data processes, methodologies, and findings.
- Maintain data accuracy and integrity throughout all analytical processes.
- Gain practical experience in leveraging data to solve business challenges in a remote setting.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong analytical and quantitative skills, with a solid understanding of statistical concepts.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving abilities and a keen attention to detail.
- Strong written and verbal communication skills.
- Eagerness to learn, a proactive attitude, and the ability to work independently and collaboratively in a remote environment.
- A passion for data and its potential to drive business value.
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Remote Junior Data Analyst - Business Intelligence
Posted 3 days ago
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Responsibilities:
- Assist in collecting and compiling data from various internal and external sources.
- Perform data cleaning and preparation tasks to ensure accuracy and consistency.
- Conduct basic data analysis to identify trends, patterns, and insights.
- Create clear and concise reports and dashboards using data visualization tools.
- Support senior analysts in developing business intelligence solutions.
- Respond to data-related queries from different departments.
- Help in maintaining and updating databases and data repositories.
- Learn and apply new data analysis techniques and tools.
- Collaborate with team members on data projects in a remote setting.
- Assist in documenting data processes and methodologies.
- Contribute to the continuous improvement of data reporting and analytics capabilities.
- Perform ad-hoc data analysis as requested by management.
- Ensure data integrity and security protocols are followed.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Foundational knowledge of data analysis principles and statistical concepts.
- Proficiency in Microsoft Excel (e.g., formulas, PivotTables, charts).
- Basic understanding of SQL for data querying.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) 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 develop new skills in data analytics.
- Prior internship or project experience in data analysis is beneficial.
Graduate Trainee - Data Analysis
Posted today
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Job Description
Program Structure & Responsibilities:
- Undergo structured training in data analysis methodologies, statistical concepts, and relevant software.
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of analytical models.
- Create clear and concise data visualizations and reports for stakeholders.
- Learn and utilize data analysis tools and programming languages (e.g., SQL, Python, R, Excel).
- Collaborate with team members on data-related projects.
- Participate in regular feedback sessions and performance evaluations.
- Contribute to team meetings and discussions, sharing insights and learning from peers.
- Assist in documenting data analysis processes and findings.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a closely related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages like Python or R is a plus.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote environment.
- A proactive attitude and a keen interest in data-driven decision-making.
This is a fantastic entry-level opportunity for aspiring data analysts looking to launch their careers remotely, with the position based in Garissa, Garissa, KE , but fully conducted online.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform data analysis using statistical methods and tools.
- Develop reports and visualizations to communicate data insights.
- Support data scientists in building and validating models.
- Identify trends, patterns, and anomalies in datasets.
- Collaborate with team members on data-related projects.
- Learn and apply various data analysis software and techniques.
- Assist in the preparation of data summaries and presentations.
- Contribute to the maintenance of data integrity and accuracy.
- Participate in team meetings and discussions on data projects.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Solid understanding of statistical concepts and analytical methods.
- Proficiency in at least one data analysis tool or programming language (e.g., Excel, SQL, Python, R).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Eagerness to learn and develop skills in data analytics.
- Ability to work independently and as part of a remote team.
- Strong organizational skills.
Location: Mlolongo, Machakos, KE