Data Analytics Engineer

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.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related STEM field; or an equivalent combination of education and experience.
• 3–5 years of experience in data analytics engineering, development, or related enterprise analytics roles.
• Advanced SQL proficiency (CTEs, window functions, complex joins, and query optimization).
• Proficiency in Python for data manipulation, pipeline scripting, and automation.
• Experience with Git version control for collaborative development.
• Experience designing and maintaining ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of dimensional modeling and star/snowflake schema design.
• Hands-on experience with Power BI and integrating datasets into Power Apps and Power Automate.
• Professional working proficiency in English (written and spoken).

Preferred Certifications & Skills:

• Microsoft Certified: Power BI Data Analyst Associate.
• Microsoft Certified: Azure Data Engineer Associate.
• dbt Analytics Engineering Certification.
• Experience with dbt (data build tool).
• Familiarity with data pipeline orchestration tools like Apache Airflow or Dagster.

How to Apply

Interested and qualified candidates are invited to apply through the International Rescue Committee career portal on Workday by visiting the application link provided on their corporate site or via the Workday link: theirc.wd1.myworkdayjobs.com.