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Data Analyst V

Remote / Online - Candidates ideally in
Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: ITD Technology Co.
Full Time, Remote/Work from Home position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

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.

Location
:
Remote – US (Candidates must be able to work Central or Pacific Time hours)

Duration
: 12 months, with potential for extension or conversion
Schedule
: 40 hours per week, Monday–Friday; no overtime.

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities
  • 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.
Required Qualifications and Skills
  • 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…
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