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Senior Data Analyst - Kiewit Data Services

Location: 

Omaha, NE, US Lenexa, KS, US

Requisition ID: 116643 

Job Level: Mid Level 

Department: Data Services 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Summary

Would you like to work for a company that is using data to help drive decisions? As a Sr Data Analyst you will work with a great team and will help provide curated data sets for applications using solid business judgement to ensure the delivery of the right results. The Data Services team is the technical arm of Kiewit data services and is primarily focused on building PowerApps, Python scripts, and data sets.

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 data, of the right quality, with 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. 

Location

This position is based out of our Omaha or Lenexa Kansas.  This is a shared service center in a professional office setting. 

Responsibilities

  • Build Python and database views to integrate data and curate datasets
  • Analyze Business requirements by collaborating with business analysts, product owners, and stakeholders.
  • Design and develop curated data sets using Python
  • Build end to end solutions
  • Write custom scripts and applications to automate repetitive tasks
  • Assist with data challenges and problems related legacy SQL views and scripts
  • Conduct technical design sessions with team member to ensure standards are being followed.
  • Conduct code reviews.

Other responsibilities

  • Adopt and promote use of GIT as source code repository.
  • Practice agile methodologies
  • App promotions to production environments
  • Staying current with new tools and techniques as they get released by Microsoft.
  • Staying current with python programming techniques.

Qualifications

  • Bachelor’s Degree or equivalent
  • 2+ years’ experience developing Python scripts to move and integrate data preferred
  • 3+ years’ writing ANSI SQL on Microsoft SQL server (both on prem and azure)
  • 2+ years’ using Teradata SQL preferred
  • 1+ year experience using Power BI preferred
  • Experience working with complex data sets
  • Dask or PySpark experience preferred
  • Ability to work with tight deadlines and deliver on schedule

 

#LI-GF1

We are 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.


There’s no limit to what you’ll work on at Kiewit. With contracts in different markets and geographic areas, you’ll tackle new challenges all the time. Whether you’re building a facility that can turn water into power or engineering safer infrastructure networks, you’re bound to push the limits of innovation in new and exciting ways.

With Kiewit, you’ll have the potential to work on a variety of projects in seven major markets. From railroads to tunnels, renewable energy to biofuels, you’ll be part of a mission that’s bigger than you can imagine. 

Here, you’ll team up with market experts and gain cross-functional experience — all while helping people across the globe live better.

We offer our fulltime staff 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.


Nearest Major Market: Omaha
Nearest Secondary Market: Council Bluffs

Job Segment: Database, Data Analyst, Data Warehouse, Business Intelligence, SQL, Technology, Data