2,291 Senior Data Analyst Roles jobs in Kenya
Junior Data Analyst (Graduate Role)
Posted 3 days ago
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Junior Remote Data Analyst (Graduate Role)
Posted 3 days ago
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Remote Junior Data Analyst (Graduate Role)
Posted 8 days ago
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Junior Data Analyst (Graduate Role - Remote)
Posted 16 days ago
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Key Responsibilities:
- Assist in the collection and aggregation of data from various sources.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and consistency.
- Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Develop and generate routine reports and dashboards to visualize data insights.
- Support senior data analysts in developing statistical models and predictive analytics.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Help in the interpretation of data findings and communicate results clearly to stakeholders.
- Assist in the documentation of data processes, methodologies, and findings.
- Learn and apply new data analysis tools and techniques.
- Contribute to the continuous improvement of data quality and reporting standards.
- Participate in team meetings and brainstorming sessions to discuss data challenges and solutions.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong foundational understanding of statistical concepts and data analysis principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills with a high degree of accuracy and attention to detail.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and a proactive attitude towards acquiring new skills.
- Basic understanding of database concepts and SQL is an advantage.
- A genuine interest in data and its application to business challenges.
- Self-motivated and disciplined to manage workload effectively in a remote setting.
Junior Data Analyst (Remote Graduate Role)
Posted 5 days ago
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Biostatistician - Remote Research Role
Posted 14 days ago
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Senior Real Estate Data Analyst - Market Intelligence
Posted 19 days ago
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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.
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Junior Data Analyst, Business Intelligence
Posted 19 days ago
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Responsibilities:
- Assist in gathering and cleaning data from various sources.
- Perform data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports and dashboards using BI tools.
- Support senior analysts in ad-hoc data requests and projects.
- Collaborate with cross-functional teams to understand data needs and requirements.
- Learn and apply data visualization techniques to present findings effectively.
- Contribute to data quality assurance and validation processes.
- Document data sources, methodologies, and findings.
- Participate in team meetings and contribute to discussions on data-related topics.
- Gain practical experience with SQL, Excel, and business intelligence software.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel, including formulas and data manipulation.
- Basic understanding of SQL for data querying.
- Familiarity with data visualization concepts and tools (e.g., Tableau, Power BI) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A strong desire to learn and grow in the field of data analytics.
- Proactive and detail-oriented approach to tasks.
- Enthusiasm for working with data and uncovering insights.
Graduate Data Analyst - Business Intelligence
Posted 19 days ago
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Apprentice Data Analyst - Business Intelligence
Posted 19 days ago
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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 .