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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst - **Company:** Glass Inc - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $105,000.0 - $125,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Data Dictionary, Data Governance, Relational Databases, Netsuite, Power BI, SQL Databases, Tableau (Software), Zoho Office Suite, Backend, Data Analytics, Qlikview - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=80d373582b48aea0 ## About the Role * 4+ years of experience in business intelligence, data analytics, or financial analytics, with a strong background in construction, utility contracting, telecom, trade services, or heavy civil industries (or a dedicated finance/accounting analytics seat). * Deep understanding of construction finance concepts: job costing, Work in Progress (WIP), percent complete, backlog, change orders, cost to complete, labor burden, equipment rates, and project margins. * Proven ability to reason about backend ERP data structures and complex relational databases (SQL, data modeling) rather than simply consuming pre-cleansed datasets. * Experience defining KPIs, reporting standards, and data governance practices. * Comfortable working directly with executive leadership and department analytical leads to translate their questions into data models and reporting they can use. * Strong communication and enablement skills to train and consult with non-technical business partners., * Hands-on experience with modern BI tools such as Zoho Analytics, Power BI, Tableau, or Qlik (dashboard tools are teachable; domain experience is paramount). * Experience working with data from ERP systems such as NetSuite, Foundation, Viewpoint, Sage, or similar construction and financial ERPs. * Familiarity with telecommunications or underground utility construction terminology (FTTx, Outside Plant / OSP). ## Description The Business Intelligence Analyst is responsible for building the reporting and data environment that lets teams across the company understand project performance, financial position, and operational health. * Financial and Project Reporting: Build and maintain the reporting finance and leadership depend on, in areas such as Work in Progress (WIP) and percent complete, backlog and backlog burn, cost to complete, funnel, and job-level margin performance. * Dashboards and Self-Service: Develop dashboards and curated datasets for executive leadership, project teams, and field managers, so each audience can reach the measures that drive their decisions without waiting in a request queue. * Data Models for Construction Operations: Translate how the business actually works-including job costing, approved and pending change orders, labor allocation, equipment utilization and mobilization, and margin performance-into data models that represent those concepts correctly and consistently. * Semantic Layer and AI Readiness: Structure and label data from Zoho CRM, Zoho Projects, NetSuite, and field systems into a well-defined semantic layer, so both people and AI-enabled tools can query it reliably. * Reporting Standards and Governance: Establish consistent metric definitions, data dictionaries, and reporting standards so a number means the same thing everywhere. * Partnership and Enablement: Work with department analytical leads and business stakeholders to understand what they need, then train and support teams so they can serve themselves as reporting needs grow. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)