Job Openings at Tiko

The Job

• The Risk Analyst uses data analysis, visualization, and modelling techniques to provide insights, identify trends, and detect fraud risks, offering actionable recommendations that strengthen decision-making and operational efficiency across the organization.

You'll also be responsible for:

• Creating and maintaining risk-related dashboards for local operations based on programme, donor, and operational needs.
• Managing and organising data from multiple sources, including those not captured within internal systems.
• Developing and maintaining reports that triangulate data to support the Risk Management function with information about actors on our platform.
• Analysing data to detect risk and fraud patterns and reporting these insights to the Risk Management team.
• Building tools that help local and global teams identify trends, understand risks, and make informed decisions to improve process controls.
• Supporting donor reporting where needed.
• Participating actively in meetings and projects, collaborating closely with team members, and staying up to date with the latest data and fraud detection practices.
• Supporting colleagues and contributing to other projects across the organisation as required.

About You

• You are a tech-savvy analytical thinker who enjoys solving problems, uncovering insights, and designing tools that help teams make informed decisions. You work well with people, stay calm in moments of frustration, and bring a strong sense of ownership and attention to detail to your work.

Requirements

• Proven hands-on experience managing end-to-end analytics projects.
• Ability to build dynamic analytical models using advanced formulas in Excel and Google Sheets.
• Strong SQL skills, including writing complex queries using joins and window functions to validate large datasets.
• Experience developing interactive dashboards, using table calculations, storytelling features, and advanced filtering.
• Ability to implement best-practice visualisation design principles and publish dashboards to Tableau Server/Cloud.
• Proficiency in Python or R for advanced analytics and visualisation (e.g., scikit-learn, matplotlib, Plotly).

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The Job

• The Programme Analyst is responsible for analysing platform data to provide insights on impact performance at the user level, community level (CBOs, mobilisers, and Community Health Workers), and Health System level (private clinics, public facilities, pharmacies, and providers). You will be in charge of analyzing client feedback, including ratings on the platform, and preparing reports to disseminate actionable insights to multiple stakeholder groups and actors.

Responsibility areas:

• Analysis of Platform Data: Execute analysis frameworks based on key impact metrics per country context. You will provide actionable analysis to answer programme implementation questions (e.g., impact of terminations on FP continuation) and generate insights for various stakeholders (including government partners, franchisors, private clinics, and funders) to inform program design and improvement.
• Data Quality: Maintain the organization's data quality standards through regular internal checks and reviews. You will perform data audits to identify and resolve issues, while training Ecosystem trainers and coordinators on best practices to promote a strong data quality culture among all actors.
• Reporting & Dissemination: Prepare comprehensive reports and document insights that drive programme improvement, ensuring that complex data is communicated clearly to diverse audiences.

About you

• You are a data enthusiast with a strong background in Public Health or Statistics. You don't just crunch numbers; you tell stories with data that drive real-world impact in the health sector. You possess a unique blend of technical expertise, navigating complex databases and visualization tools like DHIS2, SQL, and Tableau, and the soft skills required to translate those findings for diverse stakeholders, from government partners to community workers.
• You are great at both quantitative and qualitative research and data analysis.

Requirements:

• Masters degree in Statistics, Data Science, Information Systems, Information Technology, Medical Sociology, Epidemiology, or a related field.
• At least 5 years of experience in public health, health analytics, and data systems in Sub-Saharan Africa.
• Proficiency in working with DHIS2, Python, SQL, Tableau, SPSS, and Excel.
• Strong knowledge of relational databases (MySQL, SQL Server, SQLite) and database programming using Python and MySQL.
• Ability to triangulate/compare Tiko platform data with other related data sets such as. from national, regional and global reporting systems
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Skilled at documenting insights that drive programme improvement across diverse audiences.
• Able to write clearly and effectively for different contexts and purposes.
• Collaborative and communicative, building strong relationships across teams and stakeholders.
• Known for asking critical, constructive questions that uncover new programmatic perspectives.