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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst, Operations - **Company:** Nextlink Internet - **Location:** Hudson Oaks, TX, United States - **Experience:** Experienced - **Salary:** $75,000.0 - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Business Systems, Information Systems, Customer Data Management, Data Validation, Data Cleansing, Data Governance, Extract Transform Load (ETL), Data Warehousing, Document-Oriented Databases, Python (Programming Language), Network Monitoring, Power BI, SQL Databases, Tableau (Software), Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a7593c331727d91d ## About the Role 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) ## Description 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)