Construction Data Analyst: Dashboards & Scheduling

Ryan Companies US, Inc.

Minneapolis (MN)

On-site

USD 85,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision Benefits
Paid Time Off (PTO)
Educational Assistance
Flexible Spending and Health Savings Accounts
Employee Assistance and Wellness Programs
Pet Insurance

Job summary

Ryan Companies US, Inc. is seeking a Data Analyst in Minneapolis to support data analytics for construction teams. This in-office role involves providing data insights, enhancing data collection processes, and building dashboards for operational support.

The ideal candidate has a bachelor’s degree in data analytics and 3–5 years of relevant experience, with proficiency in SQL, data visualization tools, and strong analytical skills. Excellent communication and the ability to thrive in a collaborative environment are essential.

Qualifications

  • 3–5 years of analyst or equivalent work experience.
  • Experience interpreting data and deriving insights.
  • Comfortable in fast-paced, collaborative environments.

Responsibilities

  • Provide data analytics support for construction field operations.
  • Build, test, and maintain dashboards for analysis.
  • Collaborate with business leaders to understand data needs.

Skills

Data analytics
Data visualization tools
SQL querying
Strong communication

Education

Bachelor’s degree in data analytics or related field

Tools

Microsoft Power BI
SQL Server
Microsoft Office Suite
Google Cloud Platform

Job description

Ryan Companies US, Inc. is seeking a Data Analyst in Minneapolis to support data analytics for construction teams. This in-office role involves providing data insights, enhancing data collection processes, and building dashboards for operational support.

The ideal candidate has a bachelor’s degree in data analytics and 3–5 years of relevant experience, with proficiency in SQL, data visualization tools, and strong analytical skills. Excellent communication and the ability to thrive in a collaborative environment are essential.

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