Analytics Engineer

Company Description:

InEight is a leader in construction project controls software, empowering over 850 companies taking on challenging projects in industries including construction and engineering; transportation infrastructure; mining; water; power and renewables; and oil, gas and chemical. Uniquely suited to capital construction and other complex work, our integrated modular software manages projects with over $1 trillion globally.

Based in Scottsdale, Arizona, InEight supports a remote work model with employees working throughout the United States, Canada, Australia, Sri Lanka and Europe. InEight, an ISO 9001:2015-registered company, is a subsidiary of Kiewit Corporation (Kiewit). Kiewit, through its subsidiaries, is one of North America's largest and most respected construction and engineering organizations.

InEight is a fast-paced, innovative company comprised of high-energy teams of self-starters playing integral roles in shaping the future of capital projects around the world. Our industry-leading solutions, dedicated employees, and proven leadership team provide a solid foundation to support our continued growth and success.

We offer our fulltime employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Role Description

The Analytics Engineer will play a key role in developing and maintaining internal reporting solutions that deliver insights into portfolio performance, product development, and other internal business processes. This role will have responsibility for critical components of the internal reporting lifecycle, including requirements processing, dashboard design, and data validation. Data modeling and ETL/ELT activities will be performed in close coordination with technical teams under the oversight of the Analytics Architect. The engineer will ensure data integrity through testing, contribute to data architecture decisions, and help drive continuous improvement of reporting capabilities across the organization.

Responsibilities

• Design, develop, and maintain Power BI dashboards and semantic models that support business decision‑making

• Support and refine existing Power BI reports and semantic models

• Translate business requirements into clear functional and technical specifications for reporting and analytics solutions

• Perform data modeling to support performant, scalable analytics and reporting use cases

• Build and maintain ELT/ETL workflows in collaboration with engineering and platform teams

• Validate data accuracy and completeness through testing, reconciliation, and proactive issue resolution

• Partner with product, finance, and operations stakeholders to refine metrics, definitions, and reporting logic

• Contribute to data architecture discussions and follow established standards and best practices

• Support continuous improvement of analytics tooling, documentation, and reporting processes

• Troubleshoot and resolve data discrepancies across dashboards, pipelines, and source systems

Qualifications

• 3–5 years of experience in analytics engineering, business intelligence, or a related data role

• Proficiency in Power BI and data modeling (including Power Query).

• Strong SQL experience.

• Familiarity with APIs, JSON, and ETL/ELT concepts.

• Exposure to Microsoft Fabric

• Experience with Python and Azure Data Factory.

• Ability to define and document functional and technical requirements clearly.

• Strong problem-solving skills for data validation and discrepancy resolution.

• Effective collaboration with cross-functional teams and stakeholders.

• Background in data modeling and pipeline development preferred

• Experience with additional ETL/ELT tools and Azure DevOps APIs preferred

InEight Inc. is an Equal Opportunity Employer, (EOE) and will consider all applications without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.

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