444 Data Analytics jobs in Kenya
Data Analytics Manager
Posted today
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Job Description
Our client is a multinational financial services firm, with a significant footprint.
Based in either Nairobi or Kuala Lumpur, this role will play a critical role in supporting their internal audit activities by providing insights through the analysis and correlation of data extracted from various systems across the business. Through advanced data analytics techniques, the role will enable the audit team to identify control failures, assess risks, and provide independent assurance to senior leadership that risks are being managed effectively and remain within the organization's approved risk appetite.
Key analytical activities include:
- Data profiling:
Generating statistics to provide context and background on business processes. - Reperformance testing:
Re-performing calculations to validate transactions (e.g., payroll, claims), metrics from management information reports, and analytics models. - Exception detection:
Identifying instances where known restrictions, policies, or guidelines have not been followed. - Anomaly detection:
Detecting unusual or unexpected patterns of behaviour through data analysis. - Root cause analysis:
Identifying and quantifying the factors contributing to control failures and providing actionable insights.
The role also supports the internal audit leadership team in assessing the overall effectiveness of risk management practices.
Scope of the Role
As part of the regional audit resource pool, the Data Analytics Manager will be responsible for:
- Applying data analytics tools such as
SQL
and
Python
to support audit teams across the full audit lifecycle, from planning through closure. - Detecting symptoms of control failures by analyzing operational data and providing insights to audit leads.
- Developing and maintaining
continuous auditing dashboards
using visualization tools such as
Tableau
or
Power BI
, providing clear visibility of control effectiveness across business units. - Identifying trends and emerging themes that support the development of opinions on the organization's overall control environment.
- Supporting leadership in delivering continuous improvement initiatives and meeting stakeholder reporting requirements.
- Collaborating with internal teams, including
IT
and
Compliance
, to facilitate efficient data sourcing for audits and analytics initiatives.
Key Accountabilities
- Build and maintain strong working relationships with audit directors, internal audit leadership, and operational management teams.
- Deliver analytics outputs in line with internal methodologies and audit timelines.
- Provide audit leads with timely, accurate data-driven insights during fieldwork.
- Present audit findings to senior management, ensuring that appropriate responses are obtained for each identified issue.
- Manage analytics projects effectively, taking ownership of deliverables from start to finish.
Core Competencies
- Strong technical skills with
SQL
and
Python (Pandas Library)
for data analytics. - Proficiency in visualization tools such as
Tableau
and/or
Power BI
. - Advanced knowledge of
Python
/
R
for text analytics, NLP, predictive analytics, or machine learning is highly desirable. - Excellent stakeholder management, communication, and presentation skills.
Knowledge & Experience
- Hands-on technical experience
mining, cleaning, and analyzing data using databases and analytics tools. - Strong working knowledge of SQL in a relational database environment.
- Solid experience using Python for data analysis and automation.
- Experience with machine learning and predictive analytics is advantageous.
- Background in
financial services
preferred, ideally with exposure to
insurance
or
investment management
sectors. - Experience working within an
audit
or
risk management
environment is highly desirable. - Exceptional attention to detail and logical problem-solving abilities.
- A collaborative team player with the ability to build and maintain professional respect within the team and across departments.
Graduate Trainee - Data Analytics
Posted today
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform data analysis using statistical methods and data visualization tools.
- Help identify trends, patterns, and insights within the data.
- Contribute to the development of reports and dashboards to communicate findings.
- Support the data science team in ad-hoc data analysis requests.
- Learn and apply various data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Document data processes and analytical methodologies.
- Collaborate with team members on assigned projects.
- Develop a foundational understanding of business intelligence and data warehousing concepts.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with data manipulation and analysis tools (e.g., Excel, SQL) is beneficial.
- Basic understanding of statistical concepts and data visualization principles.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote environment.
- Eagerness to learn and a proactive attitude.
- Must have access to a reliable internet connection and a suitable remote workspace.
Graduate Trainee - Data Analytics
Posted today
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis to identify trends, patterns, and insights.
- Develop reports and dashboards to visualize data and communicate findings.
- Support senior analysts in developing predictive models and statistical analyses.
- Learn and apply various data analysis and visualization tools (e.g., Python, R, SQL, Tableau, Power BI).
- Collaborate with cross-functional teams to understand their data needs and provide analytical solutions.
- Contribute to the development of data-driven strategies and recommendations.
- Participate in training sessions and continuously enhance analytical skills.
- Ensure data accuracy and integrity throughout the analysis process.
- Assist in documenting analytical processes and findings.
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with at least one programming language (e.g., Python, R) is a plus.
- Experience with SQL databases is an advantage.
- Excellent communication and teamwork skills.
- Proactive, eager to learn, and highly motivated.
- Ability to work effectively in a fully remote setting.
- A keen interest in data and its application in business decision-making.
Graduate Trainee - Data Analytics
Posted today
Job Viewed
Job Description
Program Overview:
- Gain exposure to various data analysis tools and techniques, including SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI).
- Learn to collect, clean, and transform data from diverse sources.
- Develop skills in statistical analysis and predictive modeling.
- Assist in generating reports and dashboards to communicate insights to stakeholders.
- Work alongside experienced data analysts and scientists on impactful projects.
- Understand business requirements and translate them into data analysis tasks.
- Participate in team meetings, brainstorming sessions, and training workshops.
- Develop a strong understanding of data governance and best practices.
- Receive mentorship from senior members of the data analytics team.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language (Python or R preferred).
- Basic understanding of database concepts and SQL.
- Excellent communication and interpersonal skills.
- Eagerness to learn and a passion for data.
- Ability to work independently and as part of a remote team.
- High level of attention to detail and accuracy.
- Prior internship or project experience in data analysis is a plus.
Graduate Trainee - Data Analytics
Posted today
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Job Description
Location: Bungoma, Bungoma, KE
Graduate Trainee - Data Analytics
Posted 2 days ago
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Job Description
During this internship, you will work closely with experienced data scientists and analysts on real-world projects. Your responsibilities will include collecting, cleaning, and transforming data from various sources. You will assist in developing and implementing data models, performing statistical analysis, and generating insightful reports and visualizations. Learning to use data analysis tools and programming languages such as Python or R, as well as SQL for database management, will be a core part of your development.
You will gain exposure to various analytical techniques, including descriptive, diagnostic, predictive, and prescriptive analytics. Understanding business requirements and translating them into data-driven solutions will be a key learning objective. Participating in team meetings, presenting findings, and collaborating with cross-functional teams will help you develop essential communication and teamwork skills. This internship emphasizes learning and practical application, providing a solid foundation for a career in data analytics.
The ideal candidate is a recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline. A strong academic record and a genuine passion for data and problem-solving are essential. Familiarity with basic statistical concepts and programming languages is a plus. Excellent analytical, critical thinking, and communication skills are required. The ability to work independently, manage time effectively, and be proactive in a remote setting is crucial. If you are eager to kickstart your career in data analytics through a remote internship with our client near Bungoma, Bungoma, KE , we strongly encourage you to apply.
Graduate Trainee - Data Analytics
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical techniques and data visualization tools.
- Identify patterns, trends, and anomalies within datasets.
- Develop reports and dashboards to present findings to the team.
- Learn and apply various data modeling techniques.
- Collaborate with senior data analysts and data scientists on ongoing projects.
- Participate in training sessions and workshops to enhance technical skills.
- Contribute to the documentation of data processes and methodologies.
- Assist in the development of predictive models and analytical solutions.
- Engage in problem-solving activities related to data integrity and analysis.
- Understand business requirements and translate them into analytical tasks.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- Basic understanding of statistical concepts and data visualization principles.
- Excellent written and verbal communication skills.
- Ability to work independently, manage time effectively, and be self-motivated in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- A keen interest in data analysis and its application in business contexts.
- Ability to work collaboratively within a virtual team environment.
- Recent graduates based in or around **Meru, Meru, KE** are encouraged to apply, though the role is fully remote.
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Graduate Trainee - Data Analytics
Posted 2 days ago
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Job Description
Throughout this internship, you will gain hands-on experience with various data analysis tools and techniques, including SQL, Python (with libraries like Pandas and NumPy), and data visualization tools (e.g., Tableau, Power BI). You will be involved in real-world projects, contributing to data-driven decision-making processes across different departments. The role involves collaborating with cross-functional teams, assisting in the development of reports and dashboards, and identifying trends and patterns within data. This fully remote internship requires individuals who are highly motivated, possess strong problem-solving abilities, and have a keen eye for detail. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating effectively with colleagues. You will develop a foundational understanding of statistical analysis, data modeling, and business intelligence principles. The program is structured to provide a steep learning curve and significant professional development. We are looking for candidates who are eager to learn, adaptable, and possess a strong academic background in a quantitative field. This internship offers a pathway to potential full-time employment for outstanding performers. The successful candidate will be proactive, curious, and committed to mastering the art of data analysis in a remote work environment.
Qualifications:
- Recent graduate with a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of data analysis concepts and tools (e.g., SQL, Excel).
- Familiarity with programming languages like Python is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- High level of attention to detail.
- Strong organizational skills.
Graduate Trainee - Data Analytics
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform preliminary data analysis to identify trends, patterns, and anomalies.
- Develop and generate reports and dashboards to visualize data insights.
- Support senior analysts in interpreting data and drawing meaningful conclusions.
- Learn and apply statistical methods and analytical techniques.
- Collaborate with team members on data-driven projects.
- Document data processes and analytical methodologies.
- Gain proficiency in data analysis tools such as Excel, SQL, Python (Pandas, NumPy), and visualization tools (e.g., Tableau, Power BI).
- Participate in training sessions and workshops to enhance analytical skills.
- Assist in ad-hoc data requests and analysis as needed.
- Contribute to maintaining data integrity and accuracy.
- Learn about different data modeling techniques and their applications.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of data analysis concepts and methodologies.
- Familiarity with spreadsheet software (e.g., Microsoft Excel) and basic data manipulation.
- Eagerness to learn and adapt to new technologies and analytical tools.
- Excellent attention to detail and organizational skills.
- Good communication and teamwork abilities.
- Ability to work independently and manage time effectively in a remote setting.
- A keen interest in data and its potential to drive business decisions.
- Previous internship or project experience in data analysis is a plus.
This remote internship offers a structured learning path and the chance to gain practical experience in data analytics. Join our client's team and kickstart your career in a dynamic and evolving field, all from your remote workspace.
Graduate Trainee - Data Analytics
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preparation for analysis.
- Perform basic data analysis and identify trends or patterns.
- Support the creation of reports, dashboards, and data visualizations.
- Learn and apply various data analysis tools and techniques.
- Collaborate with senior analysts and data scientists on assigned projects.
- Contribute to the documentation of data processes and findings.
- Participate actively in training sessions and team meetings.
- Develop foundational knowledge in statistical methods and data modeling.
- Ensure data accuracy and integrity throughout the analysis process.
- Communicate findings and insights to team members.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a closely related quantitative field.
- Strong analytical and problem-solving abilities.
- Proficiency in Microsoft Excel and other spreadsheet software.
- Familiarity with programming languages (Python, R) and/or SQL is highly desirable.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and a strong interest in data analysis and interpretation.
- Proactive attitude and a team player mentality.
- Good organizational skills.