Principal Data Analyst (Hybrid)

Blattner Company

$121K — $176K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in relevant field (Business Analytics, Data Science, etc.).
  • 10+ years of data analytics experience in an EPC company.
  • Experience integrating safety, operations, and quality analytics across business domains.
  • Proficiency in Microsoft Power BI and Microsoft Fabric for data visualization and reporting.
  • Strong skills in SQL and Python for data manipulation and analytics.

Responsibilities

  • Champion the Analytics Community of Practice, setting standards and facilitating knowledge sharing.
  • Serve as an enterprise senior analyst, delivering advanced solutions for operational performance and risk reduction.
  • Define standards for dashboard and report design within Microsoft Power BI and Microsoft Fabric.
  • Research and recommend emerging data tools and technologies for enterprise adoption.
  • Guide departmental analysts in delivering high-quality analytics and actionable insights.

Benefits

  • 100% employer paid HDHP insurance premiums for employees.
  • 401(k) with company match to support retirement savings.
  • HSA and FSA options to manage healthcare expenses.
  • Tuition reimbursement for continuing education.
  • On-site gym to promote wellness and work/life balance.
  • Family-focused culture emphasizing employee well-being.
Full Job Description

A DAY IN THE LIFE

The Principal Data Analyst is a senior individual contributor on the IT Data, Analytics & Integrations team who drives enterprise-wide data-informed decision-making. This role serves as the analytics standard-setter and thought leader for the organization, with a primary business focus on Safety, Operations, and Quality while supporting the broader enterprise. The Principal Data Analyst leads an Analytics Community of Practice, enabling and elevating departmental analysts across the business, and guides the organization’s adoption of the Microsoft data platform including Power BI and Microsoft Fabric.

STEP INTO THE ROLE

  • Champions an enterprise-wide Analytics Community of Practice, setting reporting and analytics standards, sharing best practices, and enabling departmental analysts to deliver consistent, high-quality analytics.
  • Serves as a senior analytics resource across the enterprise, developing advanced solutions that support operational performance, risk reduction, and continuous improvement.
  • Defines enterprise standards for dashboards and report design in Microsoft Power BI and Microsoft Fabric, ensuring analytics across the business deliver consistent, actionable insights to decision-makers at all levels..
  • Researches and evaluates emerging data tools and technologies; recommends and guides enterprise-wide adoption.

WHAT YOU’LL NEED

  • Bachelor’s Degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
  • Ten (10) or more years of data analytics experience within an EPC (Engineering, Procurement, and Construction) company. Demonstrated experience working across business domains including Safety, Operations, and Quality.

WHAT SETS YOU APART

  • Ability to travel up to 30% of the time.
  • Advanced proficiency in Microsoft Power BI and Microsoft Fabric for dashboard development, data modeling, and enterprise reporting.
  • Strong working knowledge of Microsoft Fabric and Databricks for cloud-based data processing and analytics.
  • Proficient in SQL and Python for data analysis, transformation, and pipeline development.

HOW WE INVEST IN YOU

  • Competitive pay
  • 100% employer paid HDHP insurance premiums for employees
  • 401(k) with company match
  • HSA and FSA options
  • Dental and Vision insurance
  • Education Assistance (Tuition Reimbursement)
  • Work/Life balance
  • Employee/Family focused culture
  • Gym on site
  • And more!
$121,680.00 - $176,436.00 Individual Compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity.


 

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