444 Data Visualization jobs in Kenya

• 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 understanding of fundamental statistical concepts and data analysis principles.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong attention to detail and accuracy.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a collaborative remote team.
• Eagerness to learn and adapt to new technologies and methodologies.

• 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.

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.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform data analysis under the guidance of senior team members.
• Identify trends, patterns, and insights within datasets.
• Contribute to the development of reports and data visualizations.
• Learn and apply data analysis tools and techniques (e.g., SQL, Python, R, Tableau).
• Support the creation of dashboards and performance metrics.
• Participate in team meetings and contribute to project discussions.
• Conduct research on data-related topics and best practices.
• Maintain data integrity and accuracy.
• Develop a strong understanding of business requirements and how data can address them.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Familiarity with programming languages like Python or R is a plus.
• Basic knowledge of SQL and database concepts.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and collaboratively in a remote environment.
• Eagerness to learn and a passion for data.

• Gain foundational knowledge and practical skills in data analysis techniques.
• Work with diverse datasets to identify trends, patterns, and insights.
• Learn to use various data analytics tools and software (e.g., SQL, Python, R, Tableau).
• Assist in the development of reports and dashboards to communicate findings effectively.
• Participate in team projects, contributing to data-driven decision-making processes.
• Receive regular feedback and mentorship from senior data analysts and scientists.
• Explore different areas of data analytics, including business intelligence, predictive modeling, and data visualization.
• Understand data governance principles and best practices.
• Develop strong problem-solving and analytical thinking skills.
• Engage in continuous learning and professional development through assigned modules and workshops.

• Recent graduate with 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 abilities with a keen eye for detail.
• Proficiency in basic statistical concepts.
• Familiarity with programming concepts (e.g., Python or R) is a plus.
• Excellent communication skills, both written and verbal.
• Proactive, eager to learn, and a strong team player.
• Ability to work independently and manage time effectively in a remote environment.
• Demonstrated interest in data analysis and technology.

• Assisting in the collection, cleaning, and processing of data.
• Performing basic data analysis to identify trends and patterns.
• Supporting the creation of reports and dashboards.
• Learning and applying data analysis tools and techniques.
• Collaborating with team members on data-related projects.
• Contributing to data quality assurance efforts.
• Developing an understanding of business requirements for data analysis.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts.
• Proficiency in Microsoft Excel.
• Eagerness to learn data analysis tools (e.g., SQL, Python, R, Tableau) and methodologies.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote environment.

• 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.