380 Data Analyst jobs in Nairobi

Company Description
Infotrak Research and Consulting is a full service research company that was founded in 2004 following the vision of the founder to provide the Pan African Market with suitable information solutions required to sustain the ever-growing economies in the continent.

Headquartered in Nairobi, Kenya, Infotrak also has affiliate offices in Uganda, Tanzania, Nigeria and field contacts in more than 12 other countries in Sub Saharan Africa. The firm attributes its rapid growth to not only innovation, high level of professionalism and dynamism, but also on the excellent caliber of personnel who have been described by many as "Business minds who specialize in research".

Services provided include: Customer & Employee Satisfaction Surveys, Market Segmentation Studies, Brand Health checks, Consumer Usage and attitude studies, advertising awareness/impact surveys, advertising pre-post testing, media surveys, pricing studies, new product research, market feasibilities, formative research, perception surveys, KAP studies etc.

Job Description
We are seeking a highly skilled and detail-oriented Data Analyst with a minimum of five (5) years' experience in data analytics to join our dynamic team. The ideal candidate should have a strong background in statistical analysis, data management, and visualization.

Key Responsibilities:

• Process, clean, and validate large datasets from various sources.
• Prepare survey sampling designs.
• Perform statistical analysis and interpretations to identify trends, patterns, and correlations.
• Develop dashboards, reports, and data visualizations to support business objectives.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Apply advanced analytical techniques to solve complex problems.
• Ensure data integrity, confidentiality, and compliance with relevant policies and regulations.
• Implement process improvements and data-driven strategies to optimize performance.

Qualifications

• Bachelor's degree in Statistics or a related field. Master's degree will be an added advantage.
• Minimum of five (5) years' proven experience in data analytics, statistical modelling, and reporting.
• Proficiency in statistical tools and programming languages (e.g., SPSS, STATA, MS Excel, R, and Python).
• Strong experience with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information

This job is full time job and the applicant must be willing to work outside of the country.

If you meet the above requirements, send your CV with a cover letter and testimonials to

the contact address provided.

NB: Ladies are strongly encouraged to apply.

• Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
• Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
• Analyze game footage and athlete movements to extract key performance indicators (KPIs).
• Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
• Create comprehensive reports and visualizations to communicate findings effectively.
• Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
• Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
• Contribute to the development of new data collection and analysis methodologies.
• Ensure data integrity and confidentiality.
• Present findings and recommendations in a compelling manner to stakeholders.

• Design, develop, and implement HR analytics strategies and solutions.
• Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
• Develop and maintain HR dashboards and reports to visualize key metrics and insights.
• Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
• Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Ensure data integrity, accuracy, and compliance with data privacy regulations.
• Stay current with the latest trends and best practices in HR analytics and people data science.
• Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
• Collaborate with IT and data management teams to ensure robust data infrastructure.

• Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
• Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
• Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication and presentation skills.
• Ability to work independently and manage multiple complex projects in a remote environment.
• Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
• Demonstrated ability to influence stakeholders and drive data-informed decision-making.
• Strong ethical grounding and commitment to data privacy.

• Collect, clean, and process large datasets from various sports events and platforms.
• Develop and implement statistical models to analyze player performance, team strategies, and game outcomes.
• Create compelling data visualizations and reports to communicate findings to coaches, management, and other stakeholders.
• Identify key performance indicators (KPIs) and track progress towards strategic goals.
• Conduct predictive analysis to forecast game results, player development, and injury risks.
• Collaborate with coaching staff to translate data insights into practical game plans and training regimes.
• Stay abreast of the latest trends and advancements in sports analytics, data science, and related technologies.
• Develop and maintain databases and dashboards for real-time performance monitoring.
• Contribute to the development of innovative analytical tools and methodologies.
• Present findings and recommendations clearly and concisely to diverse audiences.
• Assist in scouting and player recruitment by analyzing potential talent based on performance metrics.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Sports Science, or a related quantitative field.
• Proven experience in sports analytics, data analysis, or a similar role.
• Proficiency in statistical programming languages such as R, Python, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical modeling, machine learning, and predictive analytics techniques.
• Deep knowledge of sports rules, strategies, and common performance metrics across multiple disciplines.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently, manage time effectively, and collaborate remotely.
• Experience with the sports landscape in **Mombasa, Mombasa, KE** is a plus, but not mandatory for this remote position.

About CHANCEN International
Chancen International is a non-profit financial institution providing ethical, fair, and responsible financing to help young Africans access quality tertiary education. Using an innovative Income Share Agreement (ISA) model, we cover students' tuition fees, allowing them to study without financial barriers. Graduates repay a portion of their income once employed, creating a sustainable funding cycle that supports future generations. By empowering young people with education, we enable their transition to meaningful employment, fostering economic mobility and strengthening communities.

Headquartered in Kigali, Rwanda, and operating in Rwanda, Kenya, South Africa, and Ghana, Chancen International has helped over 5,000 young people access education leading to dignified work. Our focus on marginalized populations ensures these youth gain the skills needed to thrive and contribute to building strong economies and peaceful nations.

We are committed to creating an inclusive and positive working environment where each individual can flourish and achieve their full potential. Our actions are guided by our company values: Authenticity, Curiosity, Courage, Stewardship and Fairness.

**Job Summary

The Research & Data Specialist will play a key role in strengthening Chancen's ISA underwriting and portfolio analytics by ensuring high-quality data input, interpreting macroeconomic and market trends, and integrating external datasets. This role sits within the Financial Planning and Analysis team and supports pricing, risk analysis, and portfolio optimization efforts. The Specialist will work closely with the Tech, Finance, and Impact teams to improve how Chancen collects, organizes, and analyzes data across countries and portfolios.
Key Responsibilities**
1. Data Input & Quality Assurance

• Maintain standardized input templates (ISA, PEI, employment); enforce schema, validation, and audit trails.
• Run QA checks (completeness, outliers, duplicates, cohort consistency); reconcile discrepancies with data owners.

• Publish data quality reports and escalate recurring issues with corrective actions.

• Underwriting Support

• Ingest and harmonize PEI datasets (enrolment, completion, placement, salary distributions/percentiles).

• Compute placement rate, time-to-placement, salary progression curves by program/PEI/country.

• Produce quarterly PEI scorecards to inform pricing guardrails (share %, thresholds, caps) and affordability checks.

• Market & Macro Trend Analysis

• Track inflation, minimum wage, unemployment, sector demand, and youth income trends; maintain a macro indicator pack per country.

• Write concise insight briefs (one-pager) highlighting risk/opportunity and recommended parameter changes.

• Country Partnerships & Data Procurement

• Build strong working relationships with Country Managers, PEIs, ministries/labour bureaus, and relevant agencies across different countries.

• Map, source, and procure priority datasets (employment, wage, placement, census/sector data, PEI admin data); maintain a live source register with refresh cadences and owners.
• Lead data-sharing requests and negotiate MoUs/DSAs with support from Legal/Compliance; ensure licensing terms, usage rights, and privacy are respected.
• Set SLAs for delivery, quality, and format with country partners; monitor adherence and escalate risks early.

• Track procurement budget and cost per dataset; propose cost-effective alternatives when needed.

• Data Systems & Integration

• Align datasets to the data warehouse schema; define data contracts and SLAs with Tech.

• Co-build/maintain dashboards for portfolio health, outcomes, and underwriting inputs (BI tools).
• Version control for data artifacts, queries, and calculations; maintain data dictionary.

Requirements

Educational Qualifications
Minimum Bachelor's Degree in project management, analytics, Economics, Statistics, Applied Economics
Technical Skills, Competencies, and Experience

• Bachelor's in Economics, Data Science, Statistics, Finance, or related field.
• 3–5 years in research/data analysis/credit modelling or adjacent roles.
• Proven experience cleaning, joining, and analysing education/employment datasets and building BI dashboards.
• Familiarity with income-based repayment/loan portfolios/credit scoring is advantageous.
• Experience across African markets preferred; strong written and verbal communication.
• Experience collaborating with country teams and external data owners (government, PEIs, research firms).
• Working knowledge of data licensing, privacy, and DPAs (GDPR/local equivalents) is a plus.

• Design, develop, and implement sophisticated statistical models and algorithms to analyze sports performance data.
• Identify trends, patterns, and insights that can enhance athletic performance, strategy, and fan experience.
• Collaborate with coaches and athletes to understand their data needs and provide tailored analytical support.
• Lead and mentor a team of junior sports analysts, fostering a culture of innovation and continuous learning.
• Develop and maintain robust data pipelines and ensure data integrity.
• Create compelling data visualizations and reports to communicate findings to diverse audiences.
• Contribute to the development of new analytical tools and platforms.
• Stay current with advancements in sports analytics, machine learning, and relevant technologies.
• Present findings and recommendations to senior management and key stakeholders.
• Manage multiple analytical projects concurrently, ensuring timely delivery and impactful results.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in sports analytics or a related field, with a proven track record of leadership.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various sports and their underlying performance metrics.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Demonstrated ability to lead and manage a team in a remote setting.
• Strong problem-solving skills and a passion for sports innovation.

• Design and implement sophisticated analytical frameworks to evaluate player performance, team tactics, and game outcomes.
• Develop predictive models for player performance, injury risk, and strategic decision-making.
• Analyze large datasets from various sources including player tracking data, game statistics, and biometric data.
• Provide actionable insights and strategic recommendations to coaches, management, and athletes.
• Collaborate with sports organizations to understand their specific analytical needs and challenges.
• Create compelling data visualizations and reports to communicate complex findings clearly and concisely.
• Stay abreast of the latest advancements in sports science, data analytics, and relevant technologies.
• Mentor junior analysts and contribute to the growth of the analytics team.
• Manage multiple client projects simultaneously, ensuring timely delivery of high-quality analysis.
• Identify opportunities for new analytical products and services within the sports industry.
• Develop and maintain strong relationships with clients.

• Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in data analysis and sports analytics, preferably with professional sports teams or organizations.
• Proven expertise in statistical modeling, machine learning, and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI) and database management (SQL).
• Deep understanding of various sports, their rules, and relevant performance metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.
• Ability to work independently and manage projects in a remote, client-facing environment.
• Experience with player tracking systems (e.g., GPS, optical tracking) is a significant plus.
• A genuine passion for sports and a data-driven approach to performance improvement.