BI Analyst: Data Insights & Tableau Dashboards

Ezee Fiber; Houston (TX); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation package

Medical, dental, and vision benefits

Employee Assistance Program (EAP)

Paid Parental Leave

401(k) with company match

Paid time off

Tuition reimbursement

Job summary

Ezee Fiber is seeking an Analyst, Business Intelligence to drive data-driven decisions across the organization. You will design and optimize Tableau dashboards, manage ETL processes, and collaborate across teams to turn data into actionable insights that support revenue growth and operational excellence.

Responsibilities include building scalable reports, maintaining data pipelines, and providing data-driven solutions using .NET, Java, or Python to automate reporting and integration tasks.

Qualifications

• 2–4 years of full-time professional experience in a Business Analyst or BI role.
• 2+ years writing SQL with production-ready CTEs and window functions.
• Experience writing and deploying stored procedures, functions, or packages in production databases.
• Strong knowledge of data architecture, data modeling, data mapping, and data analysis.

Responsibilities

• Develop and maintain databases, stored procedures, packages, and complex SQL queries (CTEs, window functions).
• Create, optimize, monitor, and troubleshoot ETL processes and data workflows; ensure accuracy and timeliness.
• Collect, refine, validate, and prepare data for analytics and visualization; reconcile reports against sources.

Skills

SQL

Tableau

ETL

Data Modeling

Python

Education

Bachelor's degree in CS/CE

Tools

Tableau Server

SQL Server

Azure Data Factory

Job description

Ezee Fiber is seeking an Analyst, Business Intelligence to drive data-driven decisions across the organization. You will design and optimize Tableau dashboards, manage ETL processes, and collaborate across teams to turn data into actionable insights that support revenue growth and operational excellence.

Responsibilities include building scalable reports, maintaining data pipelines, and providing data-driven solutions using .NET, Java, or Python to automate reporting and integration tasks.