155 Data Management Positions jobs in Kenya

• Develop and maintain key performance indicators (KPIs) and dashboards to monitor the health and efficiency of the supply chain and warehousing operations.
• Analyze vast datasets related to inventory levels, transportation costs, order fulfillment, and delivery performance to identify trends, bottlenecks, and areas for improvement.
• Design and implement predictive models for demand forecasting, inventory optimization, and network design.
• Collaborate with logistics, operations, and IT teams to define data requirements and ensure data integrity for analysis.
• Provide actionable insights and strategic recommendations to senior management regarding supply chain strategy, cost reduction initiatives, and service level improvements.
• Utilize advanced analytics and business intelligence tools (e.g., SQL, Python, R, Tableau, Power BI) to extract, manipulate, and visualize data.
• Evaluate the effectiveness of current logistics strategies and propose innovative solutions to enhance performance.
• Manage and mentor a team of supply chain analysts, fostering a culture of data-driven decision-making within a remote structure.
• Conduct scenario planning and simulation to assess the impact of potential changes to the supply chain network or operational processes.
• Stay current with emerging trends and technologies in supply chain analytics and logistics optimization.

• Bachelor's or Master's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field.
• Minimum of 6 years of experience in supply chain analysis, logistics, or operations management, with a strong focus on data analytics.
• Proven expertise in data analysis tools and programming languages such as SQL, Python, or R.
• Proficiency with business intelligence and data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of supply chain principles, including inventory management, warehousing, transportation, and demand planning.
• Experience with forecasting models and optimization techniques.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Strong communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences.
• Demonstrated leadership and team management experience.
• Ability to thrive in a fast-paced, autonomous, and fully remote work environment.

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.

• Develop and implement advanced analytical models to optimize supply chain and warehousing operations.
• Lead the collection, cleaning, and analysis of large datasets from various supply chain sources.
• Identify key performance indicators (KPIs) and create comprehensive dashboards for monitoring supply chain health.
• Conduct root cause analysis for supply chain disruptions and performance deviations.
• Develop demand forecasting models to improve inventory accuracy and reduce stockouts/overstocking.
• Optimize transportation routes and logistics networks for cost and efficiency.
• Collaborate with operations teams to enhance warehouse layout, workflow, and resource allocation.
• Utilize statistical software, machine learning techniques, and data visualization tools to derive insights.
• Present complex analytical findings and actionable recommendations to senior leadership.
• Mentor and guide a team of junior analysts and supply chain professionals.
• Stay abreast of industry trends and emerging technologies in supply chain analytics.
• Drive continuous improvement initiatives based on data-driven insights.

• Master's degree in Supply Chain Management, Operations Research, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in supply chain analytics, logistics, or operations management, with at least 3 years in a management capacity.
• Proven expertise in statistical analysis, predictive modeling, and data mining techniques.
• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Scikit-learn), R, SQL, Tableau, or Power BI.
• Strong understanding of supply chain principles, including inventory management, forecasting, and transportation.
• Excellent leadership, communication, and presentation skills.
• Ability to translate complex data into clear, actionable business recommendations.
• Experience in managing remote teams and projects is highly advantageous.

• Developing and implementing a comprehensive people analytics strategy aligned with organizational goals.
• Designing, building, and maintaining HR dashboards and reports using various BI tools.
• Conducting advanced statistical analyses on employee data, including predictive modeling and trend forecasting.
• Identifying key HR metrics and KPIs to measure the effectiveness of HR programs and initiatives.
• Translating complex data findings into clear, concise, and actionable insights for leadership and HR teams.
• Collaborating with HR business partners and functional leaders to understand their data needs and provide analytical support.
• Ensuring data accuracy, integrity, and compliance with privacy regulations.
• Staying current with the latest trends and technologies in HR analytics and data science.
• Developing and delivering training sessions on HR data interpretation and utilization.
• Driving a data-centric culture within the HR department and the wider organization.

• Develop and implement advanced analytics strategies to optimize supply chain operations, including inventory management, transportation, and warehousing.
• Design, build, and maintain comprehensive dashboards and reports to track key performance indicators (KPIs) across the supply chain.
• Utilize statistical modeling and machine learning techniques to forecast demand, identify trends, and predict potential disruptions.
• Analyze complex datasets to identify opportunities for cost reduction, efficiency improvements, and service level enhancements.
• Collaborate closely with logistics, warehousing, and operations teams to understand their analytical needs and provide data-driven solutions.
• Develop and implement data quality standards and ensure the accuracy and reliability of supply chain data.
• Present findings and recommendations to senior management and cross-functional teams, translating complex data into clear business insights.
• Stay abreast of the latest advancements in supply chain analytics tools and methodologies.
• Mentor and guide junior analysts within the remote team.
• Champion a data-driven culture throughout the supply chain organization.

• Master's degree in Supply Chain Management, Data Science, Statistics, Operations Research, or a related quantitative field.
• A minimum of 7-9 years of experience in supply chain analytics, operations research, or a similar analytical role.
• Proven experience in developing and implementing advanced analytical models and dashboards for supply chain optimization.
• Expertise in data analysis tools and programming languages such as SQL, Python, R, and BI tools (e.g., Tableau, Power BI).
• Strong understanding of supply chain processes, including inventory management, warehousing, transportation, and logistics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to effectively convey complex data insights to diverse, remote audiences.
• Experience working with large datasets and distributed data platforms.
• Ability to work independently, manage multiple projects, and prioritize effectively in a remote setting.
• Experience in predictive modeling and forecasting techniques is highly desirable.
• Knowledge of supply chain operations relevant to the region of Thika, Kiambu, KE would be an asset.

• Leading and mentoring a team of sports analysts.
• Developing and implementing advanced analytical models for athlete and team performance.
• Designing data collection protocols and ensuring data integrity.
• Identifying key performance indicators and providing strategic recommendations.
• Translating complex data findings into clear, actionable insights for coaches and athletes.
• Collaborating with sports science, coaching, and medical staff.
• Staying current with the latest trends in sports analytics and technology.
• Presenting findings and recommendations to senior management.
• Managing the analytics technology stack and ensuring its effectiveness.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
• At least 8 years of experience in sports analytics, with a significant portion in a leadership role.
• Expertise in statistical modeling, machine learning, and predictive analytics.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with sports-specific data sources and analytical techniques.
• Strong understanding of athletic performance principles and various sports.
• Excellent leadership, communication, and presentation skills.
• Proven ability to work effectively in a fully remote and collaborative environment.

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With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

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Job Summary
To provide specialist advise and support in the preparation, development and analysis of financial data to provide accurate information to inform decisions enhancing stability, growth & profitability, through the execution of predefined objectives.

Job Description
Job purpose
Overall responsibility for the financial management of the Total Bank Cost space and Cost Efficiency. The role includes oversight of past, present and future financial performance of the Total Bank and various Functions, including the strategic objective of aligning to Absa Bank Kenya Plc.

• Senior stakeholder and relationship management is a key driver in-order to deliver financial objectives by leveraging off Finance, Functions, and other infrastructure groups across the organization.
• Identifying cost trends and financial risks with the presentation of these views alongside the financials at the various exco's and steercos.
• Delivering and presenting of accurate financial information in-order to assist in strategic decisions for Management (CFO, Functions, Sourcing, Board, CMC)
• Support all functions in decision-making process by providing insights into their financial performance, identifying potential cost risks and opportunities, and making recommendations and improvements.
• Provide financial planning and analysis, forecasting and monitoring the Total Bank financial performance to assist the CFO in driving the costs strategy.

Key Accountabilities
Strategy and planning

• Undertake key elements of strategic management activity, involving the identification of how value is created, destroyed, and driven in the function from a cost perspective.
• To support the business in its Outlook/Shape//MTP/STP/RAF processes.
• Support in completion, driving and tracking of the bank cost strategy.
• Lead in budgeting process, outlook and actual Numbers updates, and provide commentary to the performance metrics and actions.

Business Performance management

• To develop and report financial and other performance measures (metrics) required by the business e.g., the Monthly Business review Pack, Benefits Management Committee and Board papers.
• To monitor actual performance against target and to analyse variances.
• Support input of the financials to the investor relations packs, support management in investor relations sessions, press release and the results announcement.
• To respond to routine and ad hoc information requests.
• To produce reports that enable the identification options for improved financial performance and cost reduction.
• To support the business – in the production and review of specific technical elements of Management Accounts KPIs, margins review, Cost drivers.

Decision Support

• To provide support and analysis on a range of technical issues in connection with the Financial and Management Accounts e.g., variance/trend analysis (actuals v budget) makeup of specific costs etc.
• Lead in CFO/Finance mission statement updates, provide commentary to the performance metrics and actions.
• Provide analytics and trends to inform decision making/investment decisions

Stakeholder & Relationship Management

• Maintain and build key relationships across the organization to effectively drive cost strategy and protect value.
• Understand and identify key sustainable requests from stakeholders including adhoc requests.
• Ability to Implement actions without the direct responsibility of resources.
• Negotiate and leverage information off different groups across the organization in-order to meet stakeholder demands.
• Become the "go-to" person for all key senior stakeholders for all Finance matters relating to Costs.
• Liaise with centre to respond on all country costs queries.
• Provide feedback and updates on Cost financial / business matters.
• Communicate the cost related objectives to relevant stakeholders, ensuring alignment to the wider Absa objectives.
• To develop and report Costs financial and other performance measures (metrics) required by the business e.g. the Cost Monthly Business Review Pack, Monthly Efficiency Committee Steerco meeting, Cost CMC inputs, Cost Flash and Board papers, etc.

Team and staff Management

• Take responsibility for personal performance development, training and career development plans and ensure they are relevant and progressed.
• Develop cost health, check and challenge through regular training of cost champions

Qualifications Required.

• Bachelor's degree in finance & related fields
• Accounting Qualifications

Experience Required.

• Progressive experience in finance

Skills Required To Undertake The Role.

• Strong financial analytical and diagnostic skills
• Strong planning skills
• Excellent communication skills at all levels
• Excellent stakeholder management skills
• Excellent understanding of business strategy and competitive activity
• Good understanding of global and domestic economic trends
• Ability to work to tight deadlines without compromising accuracy
• Strong team player with good interpersonal, negotiation and influencing skills.
• Ability to influence senior management across the business.
• Experience in the financial services environment.
• Understanding of the broader economic and regulatory environment which Absa operates in.
• Good PC/systems skills.
• Learning agility
• Application Deadline – 9th October 2025***

Absa Bank Kenya is an equal opportunity, affirmative action employer. Preference will be given to suitable candidates from designated groups whose appointments will contribute towards the achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Education
Higher Diplomas: Financial Sciences (Required)