1,498 Business Intelligence Analysts jobs in Kenya
Graduate Data Analyst & Business Intelligence Specialist
Posted 5 days ago
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Job Description
Our client is seeking enthusiastic and bright Graduate Data Analysts to join their dynamic, fully remote Business Intelligence team. This internship offers an exceptional opportunity for recent graduates to kickstart their careers by applying analytical skills to real-world business challenges. You will work closely with experienced data scientists and business analysts to collect, clean, and interpret complex datasets. Your responsibilities will include assisting in the development of dashboards and reports, identifying trends and patterns within data, and contributing to data-driven decision-making processes.
The ideal candidate will possess a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. While prior professional experience is not required, a demonstrable passion for data analysis and a solid understanding of statistical concepts are essential. Familiarity with data analysis tools and programming languages like SQL, Python, or R is a significant advantage. You should be highly motivated, detail-oriented, and possess excellent problem-solving skills. Strong written and verbal communication abilities are important for collaborating with team members and presenting findings. This internship is designed to provide hands-on experience in data visualization, business intelligence, and analytical modeling within a supportive, remote work environment. You will gain valuable insights into how data drives business strategy and operational improvements. A Bachelor's degree obtained within the last two years is required. This is a fantastic chance to learn and grow within a forward-thinking company, contributing valuable insights remotely, with our central administrative office located in Thika, Kiambu, KE .
The ideal candidate will possess a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. While prior professional experience is not required, a demonstrable passion for data analysis and a solid understanding of statistical concepts are essential. Familiarity with data analysis tools and programming languages like SQL, Python, or R is a significant advantage. You should be highly motivated, detail-oriented, and possess excellent problem-solving skills. Strong written and verbal communication abilities are important for collaborating with team members and presenting findings. This internship is designed to provide hands-on experience in data visualization, business intelligence, and analytical modeling within a supportive, remote work environment. You will gain valuable insights into how data drives business strategy and operational improvements. A Bachelor's degree obtained within the last two years is required. This is a fantastic chance to learn and grow within a forward-thinking company, contributing valuable insights remotely, with our central administrative office located in Thika, Kiambu, KE .
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Remote Junior Data Analyst & Business Intelligence Specialist
Posted 17 days ago
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Job Description
Our client is looking for an enthusiastic and driven Remote Junior Data Analyst & Business Intelligence Specialist to kickstart their career. This is a fully remote, intern position, offering invaluable hands-on experience in data analysis and business intelligence. The role is designed for aspiring professionals eager to learn and contribute from anywhere, with a focus on supporting business operations that may have roots or connections in **Embu, Embu, KE**.
Responsibilities:
Responsibilities:
- Assist senior analysts in collecting, cleaning, and organizing large datasets from various sources.
- Perform basic data analysis to identify trends, patterns, and insights.
- Create clear and informative reports, dashboards, and visualizations using BI tools.
- Support the development and maintenance of data models and database structures.
- Help in interpreting data findings and translating them into actionable recommendations for business stakeholders.
- Conduct research on industry trends and competitor analysis based on available data.
- Participate in team meetings and contribute to data-driven decision-making discussions.
- Learn and apply new data analysis techniques and tools under guidance.
- Ensure data accuracy and integrity in all reporting and analysis activities.
- Prepare presentations summarizing analytical findings.
- Assist in testing and validating data processes and reports.
- Document data sources, methodologies, and findings.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools such as Excel, SQL, and BI platforms (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, suitable for a remote team.
- Ability to learn quickly and adapt to new technologies.
- Proactive attitude and eagerness to contribute.
- Must have a reliable internet connection and a conducive remote work environment.
- Demonstrated interest in data science, business intelligence, or analytics.
- Comfortable working independently and as part of a remote team.
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Senior Business Intelligence Analyst - Data Monetization
Posted 5 days ago
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Job Description
Our client is seeking a highly analytical and strategic Senior Business Intelligence Analyst to drive data-informed decision-making and identify opportunities for data monetization. This is a fully remote position, offering the flexibility to work from your preferred location while making a significant impact on the company's strategic direction. You will be responsible for transforming complex datasets into actionable insights, developing sophisticated dashboards and reports, and collaborating with various departments to uncover hidden revenue streams and optimize business performance. The ideal candidate possesses strong technical skills in data analysis and visualization, a keen business acumen, and a proven ability to communicate insights effectively.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and maintain advanced business intelligence dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker).
- Extract, clean, and transform large datasets from various sources to support analytical needs.
- Conduct in-depth data analysis to identify trends, patterns, and anomalies that impact business performance.
- Collaborate with stakeholders across departments (e.g., Marketing, Sales, Finance, Product) to understand their data needs and provide relevant insights.
- Develop and implement strategies for data monetization, identifying new ways to leverage internal and external data assets for revenue generation.
- Perform root cause analysis on key business metrics and provide actionable recommendations for improvement.
- Develop predictive models and forecasts to support strategic planning and decision-making.
- Ensure data accuracy, integrity, and consistency across all reporting and analytical outputs.
- Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay updated on the latest BI trends, tools, and techniques, and champion their adoption where appropriate.
- Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Minimum of 6-8 years of experience in business intelligence, data analysis, or a related role, with a focus on deriving business value from data.
- Proficiency in SQL for data extraction and manipulation.
- Expert-level experience with at least one major BI visualization tool (e.g., Tableau, Power BI, QlikView).
- Strong understanding of statistical analysis and data modeling techniques.
- Experience in developing and implementing data monetization strategies is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation skills, with the ability to translate complex data into understandable business insights.
- Ability to work effectively and independently in a fully remote setting.
- Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) is a plus.
- Familiarity with data governance principles and practices.
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Energy Sector Analyst - Market Intelligence
Posted 9 days ago
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Job Description
Our client is seeking a sharp and analytical Energy Sector Analyst to join their fully remote team, focusing on market intelligence and strategic insights. This role is crucial for understanding market dynamics, identifying emerging trends, and providing data-driven recommendations to support decision-making within the rapidly evolving energy landscape. You will be responsible for gathering, analyzing, and interpreting complex data related to energy markets, policy, and technology.
Responsibilities:
Qualifications:
Responsibilities:
- Monitor and analyze global and regional energy markets, including oil, gas, renewables, and power.
- Conduct research on energy policies, regulations, and geopolitical factors impacting the sector.
- Develop market forecasts and scenario analyses for various energy commodities and technologies.
- Identify emerging trends, opportunities, and risks within the energy sector.
- Prepare comprehensive reports, presentations, and briefs for senior management.
- Build and maintain databases of energy-related information.
- Collaborate with internal teams to provide market intelligence support for strategic initiatives.
- Utilize analytical tools and software to model market behavior and impacts.
- Stay abreast of technological advancements and their implications for the energy transition.
- Present findings and insights to stakeholders in a clear and concise manner.
Qualifications:
- Bachelor's or Master's degree in Economics, Finance, Engineering, Energy Studies, or a related field.
- Proven experience in energy market analysis, research, or consulting.
- Strong understanding of the energy sector, including upstream, midstream, downstream, and renewable energy sources.
- Excellent analytical, quantitative, and problem-solving skills.
- Proficiency in data analysis tools (e.g., Excel, SQL) and statistical software (e.g., R, Python).
- Experience with energy market modeling software is a plus.
- Exceptional written and verbal communication skills.
- Ability to work independently and manage multiple projects in a remote environment.
- Keen attention to detail and a commitment to producing high-quality analysis.
- A proactive approach to staying informed about industry developments.
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3
Senior Real Estate Data Analyst - Market Intelligence
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and insightful Senior Real Estate Data Analyst to drive their market intelligence efforts. This is a fully remote position, allowing you to work from anywhere within Kenya. You will be responsible for collecting, analyzing, and interpreting vast amounts of real estate data to identify market trends, opportunities, and risks. Your insights will be crucial in informing strategic investment decisions, property development, and market positioning.
Responsibilities:
Responsibilities:
- Collect, clean, and validate large datasets related to property transactions, market values, rental rates, occupancy levels, and demographic information.
- Develop and maintain sophisticated data models to forecast real estate market trends and identify emerging opportunities.
- Utilize statistical software and data visualization tools to analyze market dynamics and generate actionable insights.
- Prepare comprehensive market analysis reports, presentations, and dashboards for internal stakeholders, including investment teams and property managers.
- Monitor key performance indicators (KPIs) for various real estate segments and provide regular updates on market performance.
- Conduct in-depth research on specific geographic areas and property types to understand supply, demand, and competitive landscapes.
- Collaborate with cross-functional teams, including acquisitions, development, and marketing, in a remote setting to provide data-driven recommendations.
- Identify potential risks and challenges within the real estate market and propose mitigation strategies.
- Stay abreast of industry best practices, new data sources, and analytical methodologies in real estate analytics.
- Develop and automate reporting processes to enhance efficiency and accuracy.
- Present complex data findings in a clear, concise, and compelling manner to diverse audiences.
- Contribute to the strategic planning process by providing data-driven market intelligence.
- Ensure data integrity and accuracy across all analytical outputs.
- Explore new data sources and analytical techniques to enhance market insights.
- Bachelor's degree in Economics, Finance, Statistics, Real Estate, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5 years of experience in data analysis, with a significant focus on the real estate industry.
- Proven expertise in collecting, analyzing, and interpreting large datasets using tools like SQL, Python, R, or similar.
- Strong proficiency with data visualization tools such as Tableau, Power BI, or similar.
- Solid understanding of real estate market dynamics, property valuation methods, and investment principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical stakeholders.
- Highly organized, detail-oriented, and able to manage multiple projects simultaneously in a remote environment.
- Ability to work independently and proactively.
- Experience with GIS software for spatial analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Senior Energy Trading Analyst - Market Intelligence
Posted 17 days ago
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Job Description
Our client, a prominent player in the global energy markets, is seeking an highly analytical Senior Energy Trading Analyst to join their remote-based team. This role is crucial for providing market intelligence, developing trading strategies, and optimizing portfolio performance across various energy commodities. You will be responsible for in-depth market research, data analysis, forecasting energy prices, and identifying arbitrage opportunities. The ideal candidate will possess a strong understanding of energy market dynamics, trading principles, risk management, and advanced analytical techniques. You will collaborate closely with traders, portfolio managers, and risk officers to inform trading decisions and support the company's strategic objectives. This position requires exceptional quantitative skills, a keen commercial acumen, and the ability to thrive in a fast-paced, data-intensive environment. Key responsibilities include:
A Bachelor's degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field is required; a Master's degree is highly preferred. A minimum of 7 years of experience in energy trading, market analysis, or a related quantitative finance role is essential. Proven experience with financial modeling, statistical analysis, and programming languages (e.g., Python, R, SQL) is a must. Strong understanding of energy commodity markets and derivatives is required. Excellent analytical, problem-solving, and communication skills are critical for this senior remote role. Experience with trading platforms and risk management systems is a plus.
- Conducting comprehensive analysis of global energy markets (e.g., oil, gas, power, renewables).
- Developing and refining quantitative models for price forecasting and risk assessment.
- Identifying trading opportunities and developing strategies to capitalize on market volatility.
- Monitoring geopolitical events, regulatory changes, and macroeconomic factors affecting energy prices.
- Providing timely and insightful market commentary and reports to trading desks and management.
- Collaborating with traders to execute trading strategies and manage portfolio risk.
- Evaluating new energy market trends and technologies for potential investment or trading opportunities.
- Maintaining and enhancing data management systems for market analysis.
- Assisting in the development and implementation of risk management frameworks.
A Bachelor's degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field is required; a Master's degree is highly preferred. A minimum of 7 years of experience in energy trading, market analysis, or a related quantitative finance role is essential. Proven experience with financial modeling, statistical analysis, and programming languages (e.g., Python, R, SQL) is a must. Strong understanding of energy commodity markets and derivatives is required. Excellent analytical, problem-solving, and communication skills are critical for this senior remote role. Experience with trading platforms and risk management systems is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Analyst - Business Intelligence
Posted 20 days ago
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Job Description
Our client is looking for an enthusiastic and detail-oriented Junior Data Analyst to join their dynamic Business Intelligence team. This internship provides an exceptional opportunity for an aspiring data professional to gain hands-on experience in a fast-paced corporate environment. You will work closely with senior analysts and business stakeholders to extract insights from data, develop reports, and support data-driven decision-making.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in gathering and organizing data from various internal and external sources.
- Perform data cleaning, transformation, and validation to ensure data accuracy and integrity.
- Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Power BI, Tableau, Excel).
- Support the creation of ad-hoc analyses to address specific business questions and challenges.
- Identify trends, patterns, and anomalies in data sets and communicate findings effectively.
- Collaborate with team members on data analysis projects and contribute to team goals.
- Learn and apply statistical methods and data mining techniques.
- Assist in documenting data processes, methodologies, and report definitions.
- Provide support to business users regarding data interpretation and report usage.
- Contribute to continuous improvement of data quality and reporting processes.
Qualifications:
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Basic understanding of database concepts and SQL is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Strong analytical and critical thinking skills.
- Excellent communication and interpersonal abilities.
- Ability to work independently and as part of a team.
- Eagerness to learn and adapt in a rapidly evolving field.
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6
Remote Senior Real Estate Analyst - Market Intelligence
Posted 1 day ago
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Job Description
Our client is seeking a highly analytical and insightful Senior Real Estate Analyst to join our expanding remote team. This role is vital for providing critical market intelligence and strategic insights to support our real estate investment and development decisions. You will be responsible for conducting in-depth market research, analyzing trends, and forecasting property values and rental yields across various asset classes and geographical markets. Your work will involve synthesizing complex data from multiple sources, including economic indicators, demographic shifts, and transaction data, to identify investment opportunities and mitigate risks.
Key responsibilities include:
The ideal candidate will possess a Bachelor's degree in Finance, Economics, Real Estate, or a related quantitative field, with a Master's degree or equivalent professional qualification being an advantage. A minimum of 6 years of experience in real estate analysis, market research, or investment banking with a focus on real estate is required. Demonstrated expertise in financial modeling, valuation techniques, and statistical analysis is essential. Proficiency in real estate market data platforms and analytical software is a must. Strong written and verbal communication skills, with the ability to present complex information clearly, are critical. This is a fully remote position requiring excellent organizational skills, self-motivation, and the ability to work independently. The role focuses on supporting market intelligence for properties in and around **Ruiru, Kiambu, KE**, as well as other strategic locations.
Key responsibilities include:
- Conducting comprehensive market research and analysis for residential, commercial, and industrial real estate sectors.
- Developing and maintaining real estate market databases and tracking key performance indicators (KPIs).
- Analyzing property valuation models, including DCF, sales comparison, and cost approaches.
- Forecasting real estate market trends, absorption rates, and rental growth projections.
- Identifying emerging market opportunities and potential investment risks.
- Preparing detailed market reports, presentations, and investment recommendations for senior management.
- Collaborating with acquisition, development, and asset management teams to provide data-driven support.
- Monitoring economic and demographic factors influencing the real estate market.
- Utilizing advanced data analysis tools and software (e.g., Argus, CoStar, Tableau) to derive insights.
- Staying informed about regulatory changes and their impact on the real estate industry.
- Supporting due diligence processes for property acquisitions and dispositions.
- Building and managing relationships with external data providers and industry experts.
- Providing ad-hoc analysis and insights as required by various departments.
The ideal candidate will possess a Bachelor's degree in Finance, Economics, Real Estate, or a related quantitative field, with a Master's degree or equivalent professional qualification being an advantage. A minimum of 6 years of experience in real estate analysis, market research, or investment banking with a focus on real estate is required. Demonstrated expertise in financial modeling, valuation techniques, and statistical analysis is essential. Proficiency in real estate market data platforms and analytical software is a must. Strong written and verbal communication skills, with the ability to present complex information clearly, are critical. This is a fully remote position requiring excellent organizational skills, self-motivation, and the ability to work independently. The role focuses on supporting market intelligence for properties in and around **Ruiru, Kiambu, KE**, as well as other strategic locations.
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Graduate Data Analyst - Business Intelligence
Posted 20 days ago
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Job Description
Our client is excited to offer a Graduate Data Analyst internship, providing a fantastic remote opportunity for recent graduates to launch their careers in data science and business intelligence. You will work alongside experienced analysts and data scientists, gaining practical experience in data manipulation, analysis, and visualization. This role is designed to immerse you in real-world data challenges, helping you develop essential skills in identifying trends, generating insights, and supporting data-driven decision-making. Key responsibilities include extracting and cleaning data from various sources, performing statistical analysis, creating reports and dashboards using tools like Tableau or Power BI, and assisting in the development of data models. The ideal candidate will have a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Proficiency in SQL for data extraction and manipulation is a must. Familiarity with programming languages such as Python or R for data analysis is highly desirable. You should possess strong analytical and problem-solving skills, a keen eye for detail, and a passion for uncovering insights from data. Excellent communication skills are necessary to present findings clearly and concisely to both technical and non-technical stakeholders in this remote setting. Our client provides comprehensive training, mentorship, and exposure to cutting-edge data technologies, fostering a collaborative and supportive remote work culture. This internship offers a valuable stepping stone for aspiring data professionals looking to build a strong foundation in the field.
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8
Apprentice Data Analyst - Business Intelligence
Posted 19 days ago
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Job Description
Our client is a forward-thinking data analytics firm committed to fostering emerging talent. We are offering a unique fully remote Apprenticeship opportunity for aspiring Data Analysts. This program is designed to provide comprehensive training and hands-on experience in business intelligence, data visualization, and analytical techniques. As an apprentice, you will work closely with experienced data professionals, contributing to real-world projects and gaining invaluable skills in a supportive, remote learning environment.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau or Power BI.
- Perform basic data analysis to identify trends, patterns, and insights under the guidance of senior analysts.
- Help in creating data visualizations to communicate findings effectively to stakeholders.
- Learn and apply statistical methods and data modeling techniques.
- Document data sources, methodologies, and analysis steps.
- Collaborate with team members on data-related projects in a remote setting.
- Participate in training sessions and workshops to enhance analytical skills.
- Assist in testing and validating data integrity and report accuracy.
- Shadow senior data analysts and learn best practices in data analysis and interpretation.
- Contribute to ad-hoc data requests as needed.
- Develop a foundational understanding of business processes and how data supports decision-making.
- Engage in self-directed learning to expand knowledge in data analytics and related technologies.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong interest in data analysis, business intelligence, and data visualization.
- Basic understanding of statistical concepts and principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) is required.
- Exposure to programming languages such as Python or R is a plus.
- Eagerness to learn and adapt to new technologies and tools.
- Good analytical and problem-solving aptitude.
- Effective communication skills, both written and verbal, for remote collaboration.
- Ability to work independently, manage time effectively, and adhere to deadlines in a remote environment.
- A proactive attitude and a desire to contribute to team goals.
- This is a fully remote apprenticeship program, conceptually based in Nakuru, Nakuru, KE .
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