Predictive Analytics Senior Analyst - Corporate Home Office

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Date: Jan 14, 2019

Location: Omaha, NE, US

Company: Kiewit

Requisition ID: 73042

Position Overview
Would you like to apply your skills to build some of the most advanced analytics in the construction and engineering industry?  Would you like to help propel our team to new heights?  

Over the past 5 years, we have developed and deployed analyses ranging from price simulations on single projects to full-scale decision support systems that help our people work safer, bid smarter and help ensure financial performance.  Classification, regression, forecasting and simulation – our areas of focus are not limited to one part of the company, but span multiple aspects of our enterprise.  The work you would do starts in the database and ends with decision-support in the users’ hands.  From a technical perspective, you would have excellent access to databases company-wide and apply modern machine learning methodologies – primarily from the R language.  We are in touch with evolving techniques – and develop internal methods for topics like model parameter tuning, feature generation, ensembling and techniques that help us automate, deploy and monitor models.

Our people build the infrastructure that runs the modern world.  Analytics help our people build smarter.  If you are a skilled and creative analyst, look no further. 

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 we 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.  

This position is based out of our Kiewit University at 1450 Mike Fahey Street in Omaha, NE. Kiewit University is our very own state of the art facility providing Innovation, Learning and Leadership classes to Kiewit employees.  This is a business environment in a professional office setting.

•    Works as a member of a team on complex tasks and projects assigned by supervisor to help develop decision support tools for the business
•    Data Acquisition – Extracts data from enterprise sources, transform, clean, profile and prepare.
•    Analyze Data - Conducts data analysis, understands strengths/weaknesses of different methods.
•     Communication and Presentation – Explains results of analysis to team members, train business how to use decision support tools, develops training materials. Uses data visualization to aid communication. 
•    Team Work – Follows project plan, best practices and group standards. Documents work. Provides accurate estimates of time to complete tasks and projects. 

•    Interest in using data to solve problems in the construction and engineering industries.
•    3 to 7 years work experience performing statistical analysis, data mining, data science, machine learning, etc. in a professional setting
•    BA / BS in Analytics, Statistics, Mathematics, Computer Science, Economics, or related field; a demonstrated interest in data analysis is critical. MA preferred 
•    Advanced proficiency with the R language required. Familiarity with other relevant languages and tools a plus.
•    Real world experience applying advanced analysis techniques for classification, regression, simulation and forecasting. Experience applying machine learning techniques (decision trees, clustering, SVMs, etc.) and ensembles in a professional setting. Past experience in model deployment for decision support strongly preferred.  
•    Proficiency with SQL to support data acquisition functions
•    Strong written and verbal communication skills
•    Ability to perform multiple tasks simultaneously, employing effective time management and organizational skills.
•    Ability to work independently and as a team to meet deadlines, goals and objectives
•    Passion for learning new data analysis methods and tools
•    Excellent critical thinking skills

Other common names for this role: Data Scientist, Predictive Modeler, Predictive Modeling Analyst, Data Analyst, Advanced Analytics Analyst, Advanced Analytics Senior Analyst, Data Analyst, Senior Data Analyst, Predictive Analyst, Analytics Analyst, Modeling Analyst, Machine Learning Analyst, Strategy & Advanced Analytics Senior Analyst

About Kiewit 
As one of North America's largest, most respected construction and engineering organizations, with 2017 revenues of $8.7 billion, Kiewit exists to make a difference. We improve and connect communities across the United States, Canada, and Mexico through complex projects in transportation, water/wastewater, power, oil, gas and chemical, building, industrial and mining. Our services are as diverse as the skills of our 22,000-strong workforce to whom we provide challenging, honest work in a caring and collaborative culture. A sense of adventure, pride and fulfillment is built into every career at Kiewit.

How We’re Different
•    Consistently ranked within the top five of the “Top 400 Contractors” according to Engineering News-Record 
•    Top-tier health, dental and vision insurance available from Day One of employment
•    401K savings plan that includes company dollar-for-dollar match on contributions up to 6 percent of base pay
•    Our employees are entitled to accrue at least 20 days paid time off each year
•    We spend an average of $8,500 per employee each year on training and career development and reimburse up to $5,250 per year in outside tuition costs

Kiewit is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Nearest Major Market: Omaha
Nearest Secondary Market: Council Bluffs

Job Segment: Analytics, Data Analyst, Engineer, Computer Science, Statistics, Management, Data, Engineering, Technology

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