# Data Analyst V (6347) at itD Tech

> Remote · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Aitd%3A4451184009 (read 2026-11-10).

## Facts (observed)

- Company: [itD Tech](https://alderhq.app/companies/itd-tech)
- Location text: Phoenix; United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Phoenix; United States")
- Posted: 2026-10-14 (27 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/itd/jobs/4451184009
- Skills listed (inferred): Python, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Phoenix, n 3): p25 $119k, median $152k, p75 $155k

## Description (the employer's text)

### Data Analyst V

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 collaborate with cross-functional teams and communicate technical findings to non-technical audiences.
### Preferred Qualifications and Skills

- 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aitd%3A4451184009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.