Data Analytics Engineer, Kiewit Water Facilities South 1

Position Overview

Do you have a passion for analyzing data and using it to solve problems? At Kiewit, we believe in the power of analytics to create exceptional results and we are adding an intermediate to mid-level Data Analytics Engineer to our KWFS district.  We are looking for someone with a passion for performing data analysis, data mining, and eventually data science in a professional setting. As a Data Analytics Engineer, you will work with business users to understand challenges and build analytics solutions to overcome those challenges.  You will also gather, extract, restructure, analyze and interpret data, and communicate findings and recommendations to the business.

District Overview

Kiewit Water Facilities South specializes in constructing water treatment facilities, wastewater treatment facilities, and desalination plants across North America. Because our people receive continuous and extensive training, hands-on experience, and challenging responsibilities from day one, they quickly develop the expertise that has earned our district its reputation as the premier contractor in the southeast United States. 

Location

This position is based in Westlake, TX, with potential for remote work depending on the candidate’s qualifications, experience, and proximity to major Kiewit hub offices. 

Responsibilities

• Best-in-class solutions – Your primary role will be delivering analytical solutions to the business. You will need to bring a strong business acumen and work to understand the business challenges facing your stakeholders. From there, you will need to leverage your technical skills and deep knowledge of data to recommend and build solutions for these stakeholders.
• Data Modeling – You will have access to many data sources to provide solutions to your stakeholders. But often this data may not be modeled or structured in an optimal manner to meet your needs. We will have resources to offer support, but ultimately you will be expected to be highly self-sufficient and have the technical skills (SQL/python) to restructure and clean this data as needed.
• Data Visualization – Your output will embody data visualization best practices. Our team is committed to building high quality, performant, insightful solutions that meet specific business needs. The solutions you produce will meet our quality and performance standards.
• Data Analysis – You will be expected to, with limited direction, leverage data to make strategic recommendations to the business. This may include formulating and testing hypotheses, performing correlation analysis, and other forms of data mining. You will also be expected to understand and articulate the business impact of any recommendations.
• Communication and Presentation – On the front end, you will be expected to guide requirement gathering conversations with stakeholders, asking insightful questions to see the business from their perspective. On the back end of solution development/analysis, you will be expected to explain results of analysis to team members, train stakeholders on how to use decision support tools, and succinctly convey how solutions meet specific business needs.
• Data Collection – You will be expected to develop a deep understanding of the core applications we leverage to collect data. You will work with stakeholders and key members of our product team to understand which data we capture today, as well as participate in the development/procurement of future solutions to help capture other necessary data we may not be currently collecting.
• Analytical Advancement – We are intent on delivering a world class employee experience to our Kiewit employees and believe in the power of analytics to aid us in this mission. You will be expected to embrace this mission and work closely with your team members to advance our analytical capabilities.

Qualifications

• Bachelor’s degree in Engineering, Analytics, Statistics, Computer Science, Economics, Business Management, or related field
• Strong interest in data driven problem solving and enjoy using data to uncover insights and tackle complex business challenges.
• 2-5 years of hands-on programming experience with languages such as C++, Python or Java. Proficiency in writing SQL queries is required; experience with SQL Server and Snowflake is highly preferred.
• 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.
• Experience with data visualization tools, especially Power BI and Streamlit, is highly preferred.
• Ability to travel as business necessitates.
• Must be authorized to work in the U.S. without sponsorship.

ADDITIONAL requirements

• Excellent written and verbal communication skills
• A deep desire to add significant business value
• Curious and naturally inquisitive
• Strong critical thinking
• High business acumen
• Passion for learning and development
• Effective time management and organizational skills
• Ability to work independently and as a team to meet deadlines, goals and objectives