Data Specialist: Build Dashboards and Integrate Data

Rippling, Inc.

Dallas (TX)

On-site

USD 90,000 - 130,000

Full time

46 hours ago
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Job summary

Pacifico Energy is seeking a Data Specialist to turn project data into actionable dashboards and reports. You will own dashboards and reporting for the Cedar Creek project, integrating data across schedule, cost, quality and completions systems.

You will automate recurring reports, implement data quality checks, and collaborate with the project team on ad hoc analysis while upholding data standards and providing training on systems.

Qualifications

  • 5+ years in data analysis or reporting on capital projects.
  • Strong Power BI and advanced Excel skills.
  • Hands-on experience integrating data across project systems.
  • Demonstrated ability to turn messy project data into clear reporting.
  • Proficiency with Bluebeam Revu, Procore and AI tools used with human verification.
  • Bachelor's degree, or equivalent years of relevant experience.

Responsibilities

  • Build and own project dashboards and reporting.
  • Integrate data across schedule, cost, quality and completions systems.
  • Automate recurring reporting and data quality checks.
  • Partner with the project team on ad hoc analysis.
  • Own data standards and structures across project systems.
  • Support system administration and user training.

Skills

Data analysis
Reporting
Power BI
Excel
Data integration
Dashboards
Ad hoc analysis
Data quality checks
Bluebeam Revu
Procore
AI tools

Education

Bachelor's degree

Tools

Bluebeam Revu
Procore
Primavera P6
AI tools

Job description

Pacifico Energy is seeking a Data Specialist to turn project data into actionable dashboards and reports. You will own dashboards and reporting for the Cedar Creek project, integrating data across schedule, cost, quality and completions systems.

You will automate recurring reports, implement data quality checks, and collaborate with the project team on ad hoc analysis while upholding data standards and providing training on systems.

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