Lead Data Analyst / Advanced Analytics Lead

Forged Fiber 37 • Dallas, TX

3d • $135,000 - $195,000

About The Position

At Forged Fiber, our mission is bold but simple: deliver fast, reliable, future-proof connectivity that builds the foundation for everything online. As we execute, we believe the right way to do something is the only way. This foundation guides how the company builds, operates, and maintains a state-of-the-art open-access fiber network platform that empowers millions. Forged Fiber is about more than building a network. It is about people. Every role matters. Every contribution counts. Together, employees create impact through teamwork, trust, and a shared commitment to excellence. The Lead Data Analyst / Advanced Analytics Lead researches, collects, processes, and organizes data from multiple internal and external sources to deliver trusted reporting, actionable insights, and advanced analytical solutions. This role owns key elements of the data lifecycle—data ingestion, cleansing, mapping, quality control, and discrepancy resolution—while also applying advanced statistical methods and predictive modeling to solve complex business problems. The role partners with stakeholders to translate business questions into analytical approaches, builds compelling visualizations and decision-support tools, and influences strategy through insight-driven recommendations.

Requirements

• 5+ years of progressive experience in data analysis, business analytics, advanced analytics, or a related field
• Demonstrated ability to manage complex datasets across multiple sources and repositories, including data cleansing, mapping, and discrepancy resolution
• Strong statistical and analytical skills with experience developing and validating models for decision support
• Advanced SQL skills and experience building dashboards/visualizations (e.g., Power BI, Tableau)
• Ability to communicate insights clearly and influence stakeholders with data-driven recommendations

Nice To Haves

• Bachelor’s degree (BS/BA) in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field (or equivalent experience)
• Experience with data warehouse/lake architectures and platforms (e.g., Snowflake, Databricks)
• Relevant certifications (tool-, cloud-, or analytics-focused), as required/appropriate in some areas

Responsibilities

• Data Acquisition, Integration & Management Gather, preprocess, cleanse, and validate data from diverse sources (e.g., operational systems, external datasets, data lakes/warehouses) to ensure accuracy, completeness, and readiness for analysis. Manage complex data movement and storage across multiple repositories; maintain and update interfaces as needed. Define and maintain data rules, transformations, and mapping documentation to support consistent and reliable data use across platforms. Work with relational and warehouse technologies (e.g., Oracle/MySQL; Snowflake/Databricks Delta Lake or similar) to support scalable analytics.
• Data Quality, Discrepancy Resolution & Governance Support Identify, reconcile, and resolve data discrepancies across business applications and reporting layers; perform root-cause analysis and drive corrective actions. Implement quality assurance practices including auditing, reconciliation, and control checks to ensure data integrity and reliability. Establish and maintain repeatable processes and documentation that improve consistency, transparency, and auditability of analytics outputs.
• Advanced Analytics, Statistical Modeling & Decision Support Analyze and interpret complex datasets to identify trends, relationships, and drivers of business outcomes. Apply advanced statistical methods to quantify variance, evaluate hypotheses, and support decision-making. Build, test, and validate predictive models (e.g., linear/logistic regression, time series forecasting; other techniques as appropriate) and evaluate performance in real-world conditions. Identify causal relationships, trigger points, and predictive signals to support proactive business actions.
• Reporting, Visualization & Business Insights Develop clear, precise, and compelling dashboards, reports, and visualizations that communicate findings to technical and non-technical audiences. Translate analytical results into actionable recommendations, highlighting business implications, tradeoffs, and opportunities. Respond to business requests with structured analysis, ensuring stakeholder alignment on definitions, assumptions, and success measures.
• Business Case Development & Strategic Impact Develop business cases and complex analytical models to evaluate process changes, financial impacts, business model improvements, and performance optimization opportunities. Influence decision-making by providing executive-ready insights, scenario analyses, and recommendations tied to measurable outcomes. Lead significant analytics initiatives with autonomy, coordinating across teams as needed to deliver results.
• Tools & Technologies Use a range of analytics and visualization tools such as SQL, Python, Power BI (including AI Insights), Tableau, Databricks, and other modern analytics platforms as applicable. Leverage cloud and big data ecosystems (e.g., AWS/Azure, Synapse, Palantir, H2O Driverless AI or similar) based on project needs and environment.
• Leadership & Mentorship Serve as a subject matter expert and mentor to less experienced analysts; provide guidance on methods, tooling, storytelling, and quality standards. Contribute to long-term analytics capabilities through standards, templates, reusable code, and continuous improvement of processes.

Benefits

• Forged Fiber offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees