The International Rescue Committee is a global humanitarian aid, relief and development nongovernmental organization.

Major Responsibilities:

Core Analytics & Data Engineering

• Design, build, and maintain analytics-ready datasets and data models to support reporting, dashboards, and advanced analytics.
• Develop and optimize data transformation logic to ensure performant and reliable analytical outputs.
• Support the creation of curated analytics layers that enable consistent and reusable insights across teams.
• Troubleshoot and resolve data quality, performance, and pipeline issues impacting analytics delivery.

Analytics & Reporting Enablement

• Partner with business and technical stakeholders to translate analytical requirements into datasets, metrics, and visualizations.
• Enable downstream consumption of analytics outputs through reporting tools and dashboards.
• Support ad-hoc analysis and exploratory data needs as required.

Power Platform Enablement (Secondary Scope)

• Enable and support analytics-driven solutions built using Power BI, Power Apps, and Power Automate.
• Design and maintain data integrations that allow Power Platform solutions to consume analytics datasets efficiently.
• Collaborate with Power Platform developers to ensure analytics outputs are structured and optimized for application and automation use cases.
• Assist in troubleshooting data-related issues impacting Power Platform apps, flows, and reports.

Collaboration & Continuous Improvement

• Work closely with cross-functional teams to improve analytics workflows and delivery processes.
• Contribute to continuous improvement of analytics practices, performance, and usability.
• Document analytics solutions, datasets, and integration patterns to support maintainability and knowledge sharing.
• Write and maintain SQL-based data transformations and automated data quality tests to ensure data integrity.
• Mentor junior team members and contribute to team knowledge development and technical growth.

Job Requirements:

Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related STEM field; or an equivalent combination of education, certifications, and professional experience.

Experience: 3–5 years of experience in data analytics engineering, analytics development, or related roles supporting enterprise analytics solutions.

Skills:

• Advanced SQL proficiency, including CTEs, window functions, complex joins, and query performance optimization.
• Proficiency in Python for data manipulation, pipeline scripting, and automation tasks.
• Experience with Git version control for collaborative development and code management.
• Experience designing and maintaining ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schema design.
• Hands-on experience working with Power BI and integrating analytics datasets into Power Apps and Power Automate solutions.
• Strong understanding of data modeling, analytical datasets, and how analytics outputs are consumed by reporting tools and applications.
• Familiarity with Microsoft 365 and Azure Entra ID for secure access to analytics and Power Platform solutions.
• Experience collaborating with Power Platform developers to support analytics-driven apps, reports, and automations.
• Strong communication and teamwork skills, with the ability to explain analytical concepts to non-technical audiences.
• Experience supporting business users and analysts by enabling self-service analytics and data-driven innovation.

Certifications such as (preferred but not required):

• Microsoft Certified: Power BI Data Analyst Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Power Platform Functional Consultant Associate
• dbt Analytics Engineering Certification

Language Skills: Professional working proficiency in English (written and spoken).

Preferred experience & skills:

• Advanced experience designing and optimizing Power BI datasets and enterprise reporting models
• Experience integrating analytics outputs into Power Apps and Power Automate solutions
• 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
• Ability to translate business needs into scalable analytics designs
• Ability to balance technical depth with user-centered solution design
• Ability to collaborate across technical and non-technical teams
• Ability to influence decisions through data and structured reasoning
• Ability to prioritize competing demands in fast-moving environments
• Ability to simplify complex analytical concepts for diverse audiences
• Ability to continuously improve analytics processes and standards
• Strong ownership mindset and accountability for solution outcomes
• Experience with dbt (data build tool) or similar SQL-based transformation frameworks
• Experience implementing automated data quality testing and validation frameworks
• Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Dagster)
• Familiarity with machine learning concepts and AI-assisted data workflows

• Design, build, and maintain analytics-ready datasets and data models to support reporting, dashboards, and advanced analytics.
• Develop and optimize data transformation logic to ensure performant and reliable analytical outputs.
• Support the creation of curated analytics layers that enable consistent and reusable insights across teams.
• Troubleshoot and resolve data quality, performance, and pipeline issues impacting analytics delivery.
• Partner with business and technical stakeholders to translate analytical requirements into datasets, metrics, and visualizations.
• Enable downstream consumption of analytics outputs through reporting tools and dashboards.
• Support ad-hoc analysis and exploratory data needs as required.
• Enable and support analytics-driven solutions built using Power BI, Power Apps, and Power Automate.
• Design and maintain data integrations that allow Power Platform solutions to consume analytics datasets efficiently.
• Collaborate with Power Platform developers to ensure analytics outputs are structured and optimized for application and automation use cases.
• Assist in troubleshooting data-related issues impacting Power Platform apps, flows, and reports.
• Work closely with cross-functional teams to improve analytics workflows and delivery processes.
• Contribute to continuous improvement of analytics practices, performance, and usability.
• Document analytics solutions, datasets, and integration patterns to support maintainability and knowledge sharing.
• Write and maintain SQL-based data transformations and automated data quality tests to ensure data integrity.
• Mentor junior team members and contribute to team knowledge development and technical growth.

• Advanced SQL proficiency, including CTEs, window functions, complex joins, and query performance optimization.
• Proficiency in Python for data manipulation, pipeline scripting, and automation tasks.
• Experience with Git version control for collaborative development and code management.
• Experience designing and maintaining ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schema design.
• Hands-on experience working with Power BI and integrating analytics datasets into Power Apps and Power Automate solutions.
• Strong understanding of data modeling, analytical datasets, and how analytics outputs are consumed by reporting tools and applications.
• Familiarity with Microsoft 365 and Azure Entra ID for secure access to analytics and Power Platform solutions.
• Experience collaborating with Power Platform developers to support analytics-driven apps, reports, and automations.
• Strong communication and teamwork skills, with the ability to explain analytical concepts to non-technical audiences.
• Experience supporting business users and analysts by enabling self-service analytics and data-driven innovation.
• Advanced experience designing and optimizing Power BI datasets and enterprise reporting models
• Experience integrating analytics outputs into Power Apps and Power Automate solutions
• 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
• Ability to translate business needs into scalable analytics designs
• Ability to balance technical depth with user-centered solution design
• Ability to collaborate across technical and non-technical teams
• Ability to influence decisions through data and structured reasoning
• Ability to prioritize competing demands in fast-moving environments
• Ability to simplify complex analytical concepts for diverse audiences
• Ability to continuously improve analytics processes and standards
• Strong ownership mindset and accountability for solution outcomes
• Experience with dbt (data build tool) or similar SQL-based transformation frameworks
• Experience implementing automated data quality testing and validation frameworks
• Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Dagster)
• Familiarity with machine learning concepts and AI-assisted data workflows

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related STEM field; or an equivalent combination of education, certifications, and professional experience.
• 3–5 years of experience in data analytics engineering, analytics development, or related roles supporting enterprise analytics solutions.
• Advanced SQL proficiency, including CTEs, window functions, complex joins, and query performance optimization.
• Proficiency in Python for data manipulation, pipeline scripting, and automation tasks.
• Experience with Git version control for collaborative development and code management.
• Experience designing and maintaining ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schema design.
• Hands-on experience working with Power BI and integrating analytics datasets into Power Apps and Power Automate solutions.
• Strong understanding of data modeling, analytical datasets, and how analytics outputs are consumed by reporting tools and applications.
• Familiarity with Microsoft 365 and Azure Entra ID for secure access to analytics and Power Platform solutions.
• Experience collaborating with Power Platform developers to support analytics-driven apps, reports, and automations.
• Strong communication and teamwork skills, with the ability to explain analytical concepts to non-technical audiences.
• Experience supporting business users and analysts by enabling self-service analytics and data-driven innovation.
• Microsoft Certified: Power BI Data Analyst Associate (preferred but not required)
• Microsoft Certified: Azure Data Engineer Associate (preferred but not required)
• Microsoft Certified: Power Platform Functional Consultant Associate (preferred but not required)
• dbt Analytics Engineering Certification (preferred but not required)
• Professional working proficiency in English (written and spoken).
• Advanced experience designing and optimizing Power BI datasets and enterprise reporting models
• Experience integrating analytics outputs into Power Apps and Power Automate solutions
• 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
• Ability to translate business needs into scalable analytics designs
• Ability to balance technical depth with user-centered solution design
• Ability to collaborate across technical and non-technical teams
• Ability to influence decisions through data and structured reasoning
• Ability to prioritize competing demands in fast-moving environments
• Ability to simplify complex analytical concepts for diverse audiences
• Ability to continuously improve analytics processes and standards
• Strong ownership mindset and accountability for solution outcomes
• Experience with dbt (data build tool) or similar SQL-based transformation frameworks
• Experience implementing automated data quality testing and validation frameworks
• Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Dagster)
• Familiarity with machine learning concepts and AI-assisted data workflows