Data Analyst - Omaha 1

Position Overview

Do you have a passion for leveraging data to help solve interesting business problems? Kiewit Data Services is seeking a Data Analyst to support the People Analytics function.  We are looking for someone with 0-3 years' work experience performing data engineering, analysis, data mining, etc. in a professional setting and a bachelor’s degree in a related field. 

As the Data Analyst, you will work with business users to understand challenges and build analytics solutions to address those challenges.  You will also gather, extract, restructure, analyze and interpret data, communicating findings and recommendations to the business. In this role, you will be primarily responsible working with Kiewit’s HR datasets.
 

District Overview

Kiewit Data Services’ (KDS) mission is to make Kiewit the premier data-driven organization in our industry.  To accomplish this, our projects and districts need to have the right quality of data and the right level of analysis available to them at the right time.  KDS is a cross functional organization with employees that have expertise in data, technology, support, and operations backgrounds.  Our core functions are data Quality, Governance, Enablement, Analytics and Data Science.  We are intent on delivering a world class user experience to Kiewit employees and believe in the power of analytics to aid us in this mission.

Location

This position is based out of our Omaha, NE campus. This is a corporate office in a professional office setting. 

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 and deduce where the greatest opportunity for analytics solutions lies. From there, you will need to leverage your technical skills and deep knowledge of data to deliver/build solutions to 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) to restructure this data as needed.
•    Data Visualization – Often, there will be a need to visualize data to communicate your findings, or perhaps create a sustainable dashboard solution. Your output will embody data visualization best practices and meet our high-quality and performance standards.
•    Data Analysis – You will be expected, without specific direction, to 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 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, manipulate, and store 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 and processes to capture other necessary data we may not be currently collecting.
•    Analytical Advancement – We are intent on serving as the data and analytics leader in the construction industry. You will be expected to embrace this mission and work closely with your team members to advance Kiewit’s overall analytical capabilities. 

Qualifications

An ideal candidate will have:

•    Interest in leveraging data to solve unique and challenging business problems
•    1-3 years’ work experience performing data analysis, data mining, statistical analysis, etc. in a professional setting
•    Bachelor’s degree in Analytics, Statistics, Computer Science, Economics, Business Management, or related field

 
Technical Skills:

• Database querying (SQL for MS SQL Server and Teradata highly preferred)
• Experience in Python a plus
• Data Visualization (Tableau, Power BI)
• Knowledge of data lineage and ETL

Non-Technical Skills:

• A deep desire to add significant business value
• Inquisitive nature
• 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 member to meet deadlines, goals, and objectives