Advanced Data Analyst; Houston, Texas

We are looking for an Advanced Data Analyst to transform complex datasets into strategic assets. This role goes beyond traditional reporting, utilizing predictive modeling and prescriptive analytics to forecast trends and optimize business outcomes. You will bridge the gap between technical data science and executive decision-making to drive growth across our VoIP and cloud service portfolios.

• Build and deploy predictive models (regression, time-series forecasting, and machine learning) to anticipate market trends and operational risks.
• Develop prescriptive frameworks and optimization models to recommend specific data-driven actions for ROI maximization.
• Conduct deep-dive statistical analyses to support research and long-term operational initiatives.

• Extract, clean, and architect large-scale datasets from disparate sources (APIs, SQL databases, and logs).
• Design and implement analytical workflows using AI-assisted coding practices to increase efficiency and code reliability.
• Ensure data accuracy, integrity, and completeness across all high-stakes modeling outputs.

• Create clear, compelling dashboards in Tableau or Power BI that visualize “what-if” scenarios and forecasted paths.
• Translate complex algorithmic findings into concise, actionable insights for both technical and non-technical audiences.
• Collaborate with stakeholders to define, monitor, and optimize key performance indicators (KPIs).

• Refactor existing reports and data models to ensure high performance and scalability.
• Implement data validation and anomaly detection frameworks to maintain the “gold standard” of reporting.
• Apply “shift-left” quality principles to data workflows to ensure security and precision.

• Bachelor’s or Master’s degree in Business Analytics, Statistics, Computer Science, or a related quantitative field.
• 3 to 5 years of relevant experience in data analysis, statistical modeling, and data management.
• Strong proficiency in SQL and statistical programming using Python or R.
• Hands‑on experience with data visualization tools such as Tableau or Power BI.
• Solid understanding of statistical concepts, hypothesis testing, and machine learning fundamentals.
• Excellent communication skills with the ability to present technical findings to executive leadership.

• Familiarity with AI‑assisted coding tools (e.g., ChatGPT, Claude, or Git Hub Copilot) to enhance workflow efficiency.
• Experience with Star Schema design and data warehousing concepts.
• Experience with BI tools such as Power BI, Tableau and Looker.
• Exposure to telecom, VoIP, or SaaS data environments is a significant plus.

• Competitive salary and benefits package.
• Opportunity to lead high‑impact, forward‑looking analytical projects.
• A collaborative environment that values technical excellence and innovative problem‑solving.
• Career growth and continuous learning in the evolving fields of AI and Advanced Analytics.