Data Analyst V @itD Tech
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted YDay

[Hiring] Data Analyst V @itD Tech

YDay - itD Tech is hiring a remote Data Analyst V. 💸 Salary: unspecified 📍Location: USA

Role Description

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.

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.

Qualifications

  • 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.
  • 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.

Education

  • 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.

Benefits

  • Comprehensive medical benefits
  • 401k plan
  • Paid holidays
  • Networking & career learning and development programs

Company Description

About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers.

The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries.

Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Data Analyst V @itD Tech
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted YDay
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
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Application Denied ✓
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