Data Analyst - Kiewit Infrastructure Engineers

Position Overview

Do you have a passion for leveraging data to solve interesting business problems? At Kiewit, we believe analytics can create an exceptional experience for our most valued resource – our people. Kiewit Infrastructure Engineers’ team is seeking a Data Analyst to join our Document Controls team.

At Kiewit, the scale of our operations is huge. Our construction and engineering projects span across the United States, Canada, and Mexico, improving and connecting communities with every initiative. We depend on our high-performing operations support professionals — they’re the glue that holds multiple areas of the business together and the catalysts that make things happen. We hire only the most driven people and offer them diverse career opportunities, strong leadership and mentorship, rewarding collaborative work, and responsibility they won’t find just anywhere. We’re always pushing new limits. You can too.

District Overview

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs, and minimize risk. Our construction-focused engineers work collaboratively with estimators and builders to design solutions that are innovative, constructible, and focused on safety.

Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company, sharing experiences, innovative concepts, and best practices.

Kiewit’s management and implementation of this process lead to safe, cost-effective, and innovative designs that exceed client expectations and further Kiewit’s legacy of excellence.
On our team, you’ll have the opportunity to see more, touch more, and do more than you ever imagined. Working hard will not only bring you satisfaction from a job well done, but it will help propel your career forward faster than you might expect. We will train you, develop your skills, and allow you to take on projects that impact millions across North America. With top-notch health benefits, a wealth-building 401(k) plan, and unbeatable growth opportunities, joining Kiewit ensures a lifetime of success.

Location

This position is based in our Omaha, NE office.

Responsibilities

• Design, develop, and maintain data pipelines using Python and SQL to ingest, transform, and load data into Azure SQL and other cloud platforms.
• Integrate data from APIs and external sources, ensuring accuracy, reliability, and scalability.
• Automate data workflows and processes to improve efficiency, reduce manual effort, and optimize data models.
• Monitor data workflows and troubleshoot issues to ensure continuous availability and performance.
• Ensure data integrity, security, and compliance across systems while improving performance and scalability.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver robust technical solutions.
• Research emerging technologies, patterns, and tools to keep Kiewit at the forefront of data engineering and cloud innovation.
• Document processes, maintain version control, and contribute to continuous improvement of ETL frameworks and data architecture.

Qualifications

• BS degree required
• 1+ years of experience in data analysis, data engineering, or related field
• Ability to work collaboratively in diverse teams and integrate across groups and work streams
• Strong analytical, problem-solving, and communication skills (oral and written)
• Ability to manage multiple priorities and deliver results under deadlines
• Highly motivated, with a demonstrated passion for learning and taking initiative
• Strong work ethic, willing to do what it takes to get the job done right the first time Demonstrated commitment to ethics and integrity
• Strong interpersonal skills and ability to communicate technical concepts to non-technical audiences

• Python for:

• SQL for querying and managing relational databases
• Familiarity with cloud platforms (Microsoft Azure, Snowflake)
• Understanding of ETL processes and data lineage concepts
• Knowledge of data modeling using tools like Power BI
• (Preferred) Experience with Azure DevOps and Git-based repositories for version control

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