Company Overview
We are a Hudson Oaks, Texas-based Internet Service Provider (ISP) delivering High Speed Internet and Voice Services throughout multiple states 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.
Business Intelligence Analyst, Operations
Company Overview
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.
Job Overview
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.
Key Responsibilities
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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Success in the First 6–12 Months
- 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.
Affirmative Action (AAP/EEO Statement):
Nextlink is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
Drug Free Workplace:
Nextlink intends to provide a safe work environment that will help protect the safety, health and well-being of all employees. Therefore, we are committed to an alcohol and drug-free workplace.
Affirmative Action (AAP/EEO Statement):
Nextlink is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
Drug Free Workplace:
Nextlink intends to provide a safe work environment that will help protect the safety, health and well-being of all employees. Therefore, we are committed to an alcohol and drug-free workplace.
