272 Sales Data jobs in Kenya

Role: We are seeking a motivated Data Protection Sales Person to drive adoption of our compliance, training, and audit services. The ideal candidate is passionate about technology, understands data privacy trends, and thrives on meeting targets.

Benefits:

·   Competitive base salary plus an attractive commission structure with uncapped earnings.

·   Training in Data Protection and Cybersecurity.

·   Opportunity to grow into senior roles as Posh IT scales.

·   A mission-driven, supportive, and collaborative work environment.

Responsibilities

·   Identify and close sales opportunities for Data Protection Audits, DPO-as-a-Service, Training, and Advisory.

·   Build and maintain strong client relationships across SMEs, corporates, and NGOs.

·   Develop sales strategies aligned with Posh IT's business goals.

·   Represent Posh IT at industry forums, client meetings, and networking events.

·   Provide client feedback to the technical team to shape solutions.

Qualifications

·   Minimum 2 years' experience in B2B sales (ICT, compliance, or consulting sector preferred).

·   Understanding of Data Protection Act 2019 (or willingness to learn fast).

·   Strong presentation, negotiation, and proposal-writing skills.

·   Self-driven with proven ability to meet and exceed sales targets.

·   Diploma/Degree in Business, ICT, or related field.

·   A collaborative team player with strong ethical values.

To apply, send your CV and cover letter to with the subject line "Data Protection Sales Person Application".

Deadline: 10th September 2025

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 data collection, cleaning, and preprocessing from various sources.
• Support the analysis of datasets using statistical methods and data visualization tools.
• Learn to identify trends, patterns, and correlations within data to inform business decisions.
• Contribute to the development of reports and dashboards to communicate findings.
• Collaborate with senior team members on data-related projects.
• Gain proficiency in data analysis software and programming languages (e.g., SQL, Python, R, Excel).
• Participate in training sessions and workshops to enhance analytical and technical skills.
• Assist in the testing and validation of data models and analytical outputs.
• Help in documenting data sources, methodologies, and findings.
• Gain exposure to business intelligence tools and data warehousing concepts.
• Provide general support to the data analytics team as needed.

• 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 abilities.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with data analysis tools or programming languages is a plus (e.g., Excel, SQL, Python, R).
• Excellent written and verbal communication skills.
• Highly motivated, eager to learn, and able to work independently in a remote setting.
• Strong attention to detail and organizational skills.
• Ability to collaborate effectively in a virtual team environment.
• This is a fully remote internship opportunity, supporting teams and projects that may have relevance to the Garissa, Garissa, KE region, among others.