Business Intelligence Analyst, Operations

The Business Intelligence Analyst transforms raw operational and customer data into clear, decision-ready reporting and dashboards for leaders across the organization. This role sits at the intersection of reporting and data quality: you will not only build the metrics the business runs on, but also actively investigate company records to find, diagnose, and resolve data issues before they reach a report. You will partner with operations, finance, network, and customer-experience teams to make sure the numbers everyone relies on are accurate, consistent, and trustworthy., Reporting & Dashboards

• Design, build, and maintain dashboards and recurring reports that track KPIs across operations, customer churn, network performance, labor, and finance.
• Translate business questions from stakeholders into well-defined metrics, data models, and visualizations.
• Automate manual and repetitive reporting so teams get timely, self-service access to the data they need.
• Present findings and trends in clear, executive-ready formats and explain the “so what” behind the numbers.

Data Quality & Validation

• Proactively audit company records and source systems to identify inaccuracies, duplicates, gaps, and inconsistencies.
• Investigate root causes of data discrepancies and reconcile mismatches across systems (e.g., billing, ticketing, network, and HR data).
• Correct data issues at the source where possible and document fixes; partner with system and data owners to prevent recurrence.
• Establish and monitor data-quality checks, validation rules, and alerts to catch problems early.

Analysis & Collaboration

• Perform ad-hoc analysis to support operational and strategic decisions.
• Document data definitions, sources, and reporting logic so metrics are consistent and reproducible across teams.
• Collaborate with cross-functional stakeholders to understand workflows and ensure reporting reflects how the business actually operates.
• Use AI tools to accelerate analysis, automate data-cleanup workflows, draft documentation, and surface anomalies faster., * Owns and maintains a core set of recurring dashboards and reports with minimal oversight.
• Has identified and resolved recurring data-quality issues, improving the accuracy of key metrics.
• Has built automated validation checks that reduce manual error-hunting.
• Is a trusted go-to resource for data questions across multiple teams.

Do you have experience in Tooling?, Do you have a High school diploma or GED?, * Bachelor’s degree in a quantitative, business, information systems, or related field - or equivalent practical experience.

• 2-5 years of experience in business intelligence, data analysis, reporting, or a closely related role.
• Proficiency in SQL for querying, joining, and validating data across large datasets.
• Hands-on experience building dashboards and reports in Tableau.
• Strong skills in Excel and/or Power BI for analysis, modeling, and reporting.
• Working knowledge of Python for data cleanup, automation, and analysis.
• Comfort using AI tools to improve speed and quality of analysis and documentation.
• Demonstrated attention to detail and a track record of finding and fixing data-quality issues.
• Ability to communicate technical findings clearly to non-technical audiences., * Experience in telecommunications, ISP, utilities, or another operations-heavy industry.
• Familiarity with data-warehouse concepts, ETL/data pipelines, and data governance practices.
• Experience reconciling data across multiple business systems (billing, CRM, ticketing, network monitoring).
• Exposure to statistical analysis or forecasting techniques.

Key Competencies

• Analytical rigor - digs into the data and validates before reporting.
• Curiosity and ownership - actively hunts down data problems rather than waiting for them to surface.
• Clear communication - turns complex data into simple, actionable insight.
• Reliability - produces accurate, on-time deliverables stakeholders can trust.
• Adaptability - leverages new tools, including AI, to work smarter., * Which reporting and visualization tools have you used professionally?
• How many years of hands-on SQL experience do you have?
• Give me a real example of how you’ve used AI, Python, SQL, or automation to eliminate a manual reporting process or improve data quality.

Education:

• High school or equivalent (Required)

Pulled from the full job description

• 401(k)
• Health insurance
• Retirement plan
• Paid time off, * 401(k)
• Health insurance
• Paid time off
• Retirement plan

We are a rapidly growing, Hudson Oaks, Texas-based Internet Service Provider (ISP) delivering High Speed Internet and Voice Services throughout North Texas and Central Texas to residential, business, K-12 Education and government customers. We believe there is much more to an internet company than just delivering cost-effective internet solutions; we believe in delivering an overall customer experience that our competitors simply cannot match.