Overview:
The Analytics Engineer is responsible for designing, developing, and maintaining the data infrastructure that powers business insights. This role focuses on transforming raw data into meaningful visualizations, reports, dashboards, and self-service data modelsprimarily using Power BI and related analytics tools. The Analytics Engineer acts as a bridge between data engineering and data analysis, ensuring analytical assets are reliable, usable, and accessible for business decision-making.
Responsibilities:
- Design, develop, and maintain scalable data models, semantic layers, and analytical datasets to support business intelligence and self-service analytics.
- Build interactive and visually engaging Power BI dashboards, reports, and data visualizations that effectively communicate insights to business users.
- Collaborate with data engineers, business analysts, and stakeholders to translate business requirements into actionable data solutions.
- Apply data visualization best practices to design intuitive, aesthetically appealing, and insightful data products.
- Develop and maintain comprehensive documentation, including wireframes, data models, validation checklists, and report specifications.
- Ensure accuracy, reliability, and performance of data assets through thorough validation and testing processes.
- Participate in Agile ceremonies such as sprint planning, estimation, and retrospectives to deliver work iteratively and collaboratively.
- Drive knowledge sharing, cross-functional collaboration, and continuous improvement in data visualization standards and tools.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
- Proven experience designing and developing reports and dashboards using Power BI (or similar BI tools).
- Strong understanding of data visualization principles, data storytelling, and usability design.
- Proficiency in data modeling, schema design, and DAX/Power Query for building optimized BI datasets.
- Strong analytical and problem-solving skills with a curious mindset to explore data deeply and derive insights.
- Excellent collaboration and communication skills; able to work effectively with both technical and non-technical teams.
- Experience working in Agile environments and familiarity with sprint-based delivery, stakeholder management, and documentation.
- Detail-oriented with a commitment to data quality, validation, and continuous improvement.
