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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst V (6347) - **Company:** The Itd - **Location:** Phoenix, AZ, United States (Remote available) - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Computer Programming, Customer Data Management, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Standard Sql, SQL Databases, Web Analytics, Multivariate Regression, Pytorch, Large Language Models, Generative AI, Agentic-AI, Pandas, Scikit Learn, Information Technology, Data Analytics, Software Library - **Published:** October 15, 2026 - **Apply:** https://www.thejobnetwork.com/job/b4a4ae45-132c-47fb-af22-d53a90d26106/data-analyst-v- ## About the Role itD is seeking a Data Analyst V to analyze customer experience and customer support data for Reality Labs, uncover actionable insights, and improve customer satisfaction across the end-to-end customer journey. The ideal candidate will bring 8+ years of experience in data analytics or data science, strong SQL and Python or R programming skills, and expertise in statistical modeling, predictive analytics, and Generative AI to translate complex customer data into insights that drive business improvements and customer-centric decisions., * Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field. * 8+ years of experience in data analytics, data science, or a related field. * 2+ years of experience in customer experience, customer support, customer insights analytics, or marketing analytics. * Strong SQL programming skills and proficiency in Python or R. * Proficiency in statistical analysis techniques, including correlation analysis, multivariate regression, and feature-importance methods. * Experience with predictive analytics, machine learning, or AI techniques. * Working knowledge of AI-powered analytical tools and Generative AI technologies, including LLMs and AI agents. * Ability to translate complex data from multiple sources into clear, actionable insights tailored to stakeholder needs. * Demonstrated ability to collaborate with cross-functional teams and communicate technical findings to non-technical audiences., * Master's or Ph.D. degree in a quantitative field. * Experience working with Customer Experience (CX) or Voice of Customer (VoC) metrics, including NPS, CSAT, customer surveys, and customer feedback. * Familiarity with consumer electronics or retail businesses. * Experience with machine learning libraries and frameworks, such as Pandas, scikit-learn, TensorFlow, or PyTorch. * Previous experience at Meta or another large technology company., Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field required. A master's or Ph.D. degree in a quantitative field is preferred. ## Description * Analyze large, complex datasets using SQL, Python or R, and statistical techniques to identify customer experience trends, pain points, and opportunities for improvement. * Synthesize customer signals from surveys, digital analytics, behavioral data, operational metrics, and customer support interactions across the end-to-end customer journey. * Apply statistical modeling, predictive analytics, machine learning, and natural language processing (NLP) to analyze customer support conversations, transcripts, and tickets to generate actionable insights. * Develop customer segmentation and clustering models to identify common customer issues and recommend targeted solutions, including self-service resources. * Integrate customer feedback with transactional, operational, and behavioral data to identify key drivers of customer satisfaction and business outcomes. * Design, test, and launch customer experience and support metric scorecards to track KPIs and evaluate performance across digital, AI-powered, and human-assisted support channels. * Leverage Generative AI tools, large language models (LLMs), and AI agents to automate data analysis, clean datasets, generate visualizations, and streamline multi-step analytical workflows. * Quantify the business impact and ROI of customer experience initiatives by connecting customer metrics with business outcomes. * Communicate complex analytical findings through clear, compelling reports and presentations, influencing stakeholders and driving corrective actions. Internal Responsibilities * Attend regular internal practice community meetings. * Collaborate with your itD practice team on industry thought leadership. * Complete client case studies and learning materials, including blogs and media materials. * Build materials to contribute to the Digital Transformation practice. * Attend internal itD networking events, both in person and virtually. * Work with leadership on career fast-track opportunities.