Data Analytics Engineer at International Rescue Committee

Data Analytics Engineer at International Rescue Committee – International Rescue Committee Kenya Job Details

About the Role

The International Rescue Committee is recruiting a Data Analytics Engineer for a full-time position based in Nairobi. This role sits at the centre of the organisation’s data infrastructure, responsible for designing, constructing, and maintaining analytics systems that enable data-driven decision-making across departments. You will build scalable data pipelines, create analytics-ready datasets, and support reporting solutions on the Microsoft Power Platform that serve operational and strategic needs.

As a Data Analytics Engineer at International Rescue Committee, you will translate business requirements into structured data models and analytical outputs. Working across technical and non-technical teams, you will ensure data quality, pipeline reliability, and the effective deployment of analytics through Power BI, Power Apps, and Power Automate. This position requires hands-on expertise in SQL, Python, ETL/ELT workflows, and data warehouse design.

Key Responsibilities

• Design, build, and maintain analytics-ready datasets and data models that support dashboards, reporting, and advanced analytics across the organisation.
• Develop and optimise data transformation logic to deliver performant and reliable analytical outputs for end users.
• Create curated analytics layers that enable consistent, reusable insights and reduce duplication of effort across teams.
• Troubleshoot and resolve data quality issues, performance bottlenecks, and pipeline failures that impact analytics delivery.
• Partner with business and technical stakeholders to translate analytical requirements into datasets, metrics, and visualisations.
• Enable and support analytics-driven solutions built using Power BI, Power Apps, and Power Automate, including design of data integrations for efficient consumption.
• Write and maintain SQL-based data transformations and automated data quality tests to safeguard data integrity.
• Document analytics solutions, datasets, and integration patterns to support team knowledge sharing and long-term maintainability.

Requirements & Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related STEM field, or equivalent professional experience and certifications.
• 3–5 years of experience in data analytics engineering, analytics development, or supporting enterprise analytics solutions.
• Advanced SQL proficiency, including CTEs, window functions, complex joins, and query performance optimisation.
• Proficiency in Python for data manipulation, pipeline scripting, and automation.
• Hands-on experience designing and maintaining ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of data warehousing concepts, dimensional modelling, and star or snowflake schema design patterns.
• Practical experience with Power BI and integrating analytics datasets into Power Apps and Power Automate solutions.
• Experience with Git version control for collaborative development and code management.
• Familiarity with Microsoft 365 and Azure Entra ID for secure access to analytics and Power Platform solutions.
• Professional working proficiency in English, both written and spoken.

Preferred Experience

• Microsoft certifications such as Power BI Data Analyst Associate, Azure Data Engineer Associate, or Power Platform Functional Consultant Associate.
• Advanced experience designing and optimising Power BI datasets and enterprise reporting models.
• Working knowledge of Azure data services and cloud-based analytics platforms.
• Experience implementing data security, access controls, and governance best practices.
• Familiarity with DevOps or structured release management for analytics solutions.

What to Expect

• You will work in a collaborative environment where technical depth is balanced with user-centred solution design, serving both technical teams and business stakeholders.
• The role offers exposure to enterprise data systems, cloud analytics platforms, and Power Platform technologies used across a humanitarian organisation operating in complex environments.
• This Data Analytics Engineer at International Rescue Committee position in Nairobi is open to qualified candidates. Click Apply below to submit your application.