Data Analytics Engineer, Kiewit Water Facilities South 1

Kiewit•Westlake, TX

1d•$75,000 - $95,000

About The Position

Kiewit is hiring an intermediate to mid-level Data Analytics Engineer for its Kiewit Water Facilities South district. The role focuses on analyzing, mining, and interpreting data to solve business problems and deliver analytical solutions. The engineer will work with business users to understand their challenges, gather and restructure data, and communicate findings and recommendations. The position is based in Westlake, Texas, with potential for remote work depending on the candidate’s qualifications, experience, and proximity to major Kiewit hub offices. Kiewit Water Facilities South constructs water and wastewater treatment facilities and desalination plants across North America.

Requirements

Bachelor’s degree in Engineering, Analytics, Statistics, Computer Science, Economics, Business Management, or a related field.
Strong interest in data-driven problem solving and using data to uncover insights and address complex business challenges.
2–5 years of hands-on programming experience with languages such as C++, Python, or Java.
Proficiency in writing SQL queries.
At least 2 years of recent U.S.-based experience in data analytics, including data mining, statistical analysis, and exploratory data analysis.
Solid understanding of data science principles, including data visualization and working with APIs for data integration.
Ability to travel as business necessitates.
Must be authorized to work in the U.S. without sponsorship.
Excellent written and verbal communication skills.
Strong desire to add significant business value; curiosity and inquisitiveness; critical thinking; and high business acumen.
Passion for learning and development.
Effective time-management and organizational skills.
Ability to work independently and as part of a team to meet deadlines, goals, and objectives.
Regular, reliable attendance; ability to work productively and meet deadlines.
Ability to communicate and interact effectively and professionally with supervisors, employees, and others, individually or in a team environment.
Ability to perform work safely and effectively and follow oral and written instructions, including warning signs, equipment-use instructions, and other policies.
Ability to work during normal operating hours and to work overtime and weekends as required.

Nice To Haves

Experience with SQL Server and Snowflake.
Experience with data visualization tools, especially Power BI and Streamlit.

Responsibilities

Understand stakeholder and business challenges and recommend and build analytical solutions using business knowledge and technical skills.
Restructure and clean data from multiple sources using SQL and Python as needed.
Build high-quality, performant data visualizations that address specific business needs.
Analyze data with limited direction, including formulating and testing hypotheses, conducting correlation analysis and other data mining, and making strategic recommendations.
Assess and communicate the business impact of analytical recommendations.
Guide requirements-gathering discussions with stakeholders by asking questions that clarify their needs and perspectives.
Explain analytical results to team members, train stakeholders to use decision-support tools, and explain how solutions meet business needs.
Develop a strong understanding of core data-collection applications and collaborate with stakeholders and product-team members on current and future data-capture needs.
Work with team members to advance the organization’s analytical capabilities and employee experience.