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BI Analyst

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: GCON Management Company LLC
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

GCON is building the future of construction by combining decades of field expertise with modern analytics. We turn real project and operational data into insights that improve performance, drive smarter decisions, and support our teams where it matters most — on the jobsite and in the office.

About the Role

We're looking for a Business Intelligence (BI) Analyst to build the dashboards and reports our business relies on to make decisions — and to make sure the numbers behind them are accurate, consistent, and trusted. Beyond day-to-day reporting, you'll help us reshape how our data is structured behind the scenes so it stays reliable and scalable as we grow.

This is a role for someone who thrives as part of a team. You'll partner closely with our Analytics Engineer and collaborate across Finance, Operations, and Project teams — listening to what people need, clarifying definitions together, and delivering insights they can act on with confidence. At GCON, you'll join a culture built on integrity, accountability, and a service-oriented mindset, where your work directly supports the people doing the work in the field and in the office.

We're a growing, fast‑paced organization that values curiosity and initiative, and we'll give you real ownership and the chance to grow alongside us.

What You'll Do
  • Build, maintain, and enhance dashboards and reports in Domo
  • Support reporting requests from business stakeholders across the company
  • Apply best practices for dashboard usability, performance, and consistency
  • Test and validate dashboards before release and updates
Data Modeling & Transformation
  • Build standardized metrics and calculations using SQL and ETL logic
  • Prepare and transform raw data from multiple sources into clean, usable datasets
  • Help ensure metric definitions are applied consistently across every report
Data Quality & Validation
  • Run data validation and quality checks across dashboards, datasets, and metrics
  • Investigate inconsistencies and anomalies, and help track down root causes
  • Make sure reported numbers align with documented business logic
Documentation & Change Control
  • Document dashboards, metrics, data sources, and reporting processes
  • Maintain metric definitions and data logic documentation
  • Track changes to dashboards and metrics to support transparency and controlled updates
Collaboration & Stakeholder Support
  • Partner with Analytics, Finance, Operations, and Project teams to understand reporting needs
  • Communicate clearly about data definitions, limitations, and updates
  • Work independently on assigned tasks while collaborating effectively across teams
What We're Looking For Required
  • 1–2 years of experience in business intelligence, analytics, reporting, or a related data role
  • Hands‑on experience with a major BI / data visualization tool — Power BI, Tableau, Looker, Domo, or similar
  • Hands‑on ETL / data transformation experience — cleaning, reshaping, and modeling raw data, not only building charts on finished data
  • Working knowledge of SQL
  • Basic comfort pulling data from systems through their APIs, or a clear willingness and aptitude to learn
  • Ability to explain data clearly to non‑technical partners in Finance and Operations
  • Comfort using AI tools to work faster and smarter — we want someone who embraces them to streamline tasks, optimize processes, and solve problems
  • Strong attention to detail and a focus on data accuracy
  • Ability to work independently, take initiative, and manage multiple priorities
  • Natural curiosity — you dig into why a number looks off and chase down the root cause
  • Bachelor's degree in Analytics, Information Systems, Business, Finance, Computer Science, or a related field — or equivalent practical experience
Nice to Have
  • Experience with a data warehouse or semantic layer
  • Experience with data governance, or building a semantic layer / data warehouse model
  • Construction or project‑based industry experience; CMiC or similar ERP exposure
  • Direct Domo experience, including its newer AI / agent features
  • Exposure to Python for data analysis or automation
How We Work

In alignment with GCON's core values, our BI team approaches reporting with integrity, accountability, and a service-oriented mindset — making sure…

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