Data Analytics Specialist II: Dashboards & Insights

JE Dunn

Kansas City (KS)

On-site

USD 70,000 - 90,000

Full time

9 days ago

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Benefits offered by this job

Professional Non-Union

Job summary

JE Dunn Construction is seeking a Data Analyst 2 to collect, transform, and analyze data from multiple sources and deliver actionable reports to management. You will specialize in reporting tools and dashboards to support strategic initiatives within a manufacturing environment.

The role emphasizes data quality, privacy compliance, and timely delivery of insights. A Bachelor’s degree in a data-related field is required, with 2+ years of experience and proficiency in Power BI and SQL.

Qualifications

  • Bachelor’s degree in data science, analytics or related field is required.
  • 2+ years of experience in data analysis preferred.
  • Experience with data visualization tools (Power BI) is expected.

Responsibilities

  • Gathers and analyzes data from multiple sources for reporting.
  • Maintains knowledge of operational metrics within the function.
  • Builds and maintains reports and dashboards for management.
  • Audits data for privacy compliance and quality.
  • Supports ad-hoc reporting and data requests.
  • Collaborates to develop data analytics strategy.

Skills

MS Office
MS Excel
Power Apps
Power Automate
Power BI
SQL
APIs
Data visualization
Analytical thinking
Time management
Communication

Education

Bachelor’s degree in data science, analytics or related field
Relevant experience considered

Tools

Power BI

Job description

JE Dunn Construction is seeking a Data Analyst 2 to collect, transform, and analyze data from multiple sources and deliver actionable reports to management. You will specialize in reporting tools and dashboards to support strategic initiatives within a manufacturing environment.

The role emphasizes data quality, privacy compliance, and timely delivery of insights. A Bachelor’s degree in a data-related field is required, with 2+ years of experience and proficiency in Power BI and SQL.

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