Data Analytics Engineer

Skanska USA

23h•Onsite

About The Position

Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion. Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose – we build for a better society. Skanska's values —Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life—are deeply engrained in how we work, which is why our values support and drive our D&I efforts. The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data. The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users.

Requirements

3+ years of experience data modeling in data warehouses with modern design patterns.
3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL
3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration
Bachelor’s Degree – Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.

Responsibilities

Designing, implementing, and supporting enterprise data initiatives and analyses.
Creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data.
Collaborating with data analysts and engineers to develop visual representations of data patterns and insights.
Effectively communicating the significance of data patterns and insights to internal and external stakeholders, colleagues, and end-users.