Sr Data Analytics Engineer

Job description

We are seeking a highly motivated Data Analytics Engineer to design, develop, and maintain scalable data solutions that transform raw data into actionable business insights. This role combines data engineering, analytics, and business intelligence capabilities to support strategic decision-making, operational excellence, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, analysts, power users and IT teams to develop robust data models, automated data pipelines, and interactive reporting solutions that drive measurable business value.

Responsibilities

Data Engineering and Integration Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Integrate data from multiple enterprise systems, databases, APIs, and cloud platforms. Ensure data quality, consistency, governance, and security across all solutions. Monitor and optimize data workflows for performance and reliability. Development & Optimization Design, develop, and maintain dashboards and reports using Power BI, ensuring compliance with enterprise standards for governance and scalability.

Collaborate with cross-functional teams to gather business requirements and translate them into data solutions, ensuring consistent KPI definitions. Validate data sources and ensure semantic models comply with security rules. Apply best practices for DAX, data modeling, and performance optimization. Document processes and enforce adherence to governance practices. Support & Enablement Act as the main point of contact for business users, supporting reporting initiatives.

Troubleshoot issues related to data sources, refresh schedules, and visualization. Provide training, guidelines, and documentation to improve data literacy and effective report usage. Foster active community engagement. Innovation Stay up to date with the latest Power BI adopting new capabilities to enhance our analytics maturity.

Qualifications

Required Advanced English (Spanish is a plus). Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, Data Science/Analytics or related field. 4+ years in BI or analytics roles. Experience in virtual project management within remote teams. Experience integrating Power BI with SharePoint, Teams, or other collaboration tools. Proficiency in Power BI, including DAX, M Language for Power Query, and data modeling.

Excellent problem-solving skills, analytical thinking, and attention to detail. Effective communication skills, with proven ability to influence stakeholders and work collaboratively in cross-functional teams. Preferred Power BI Data Analyst Associate (PL-300) certification. Basics in SQL, Python, and/or KNIME Workflow Development. Experience with data warehousing, ETL processes, and cloud platforms (Azure preferred).