Data Analyst V

itD

. Analyze large, complex datasets using SQL, Python or R, and statistical techniques to identify customer experience trends, pain points, and opportunities for improvement .

Posted 11/1/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data analytics and customer experience, utilizing SQL, Python, and statistical modeling to derive actionable insights and improve customer satisfaction. Proficient in leveraging AI technologies and predictive analytics to enhance decision-making and drive business outcomes.

Highest-signal resume keywords

SQL Programming SkillsPython ProficiencyPredictive Analytics ExperienceStatistical Analysis TechniquesGenerative AI Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical ModelingMachine LearningNatural Language ProcessingCustomer SegmentationClustering ModelsCorrelation AnalysisMultivariate RegressionFeature-Importance MethodsData Visualization

Soft Skills

CollaborationCommunicationInfluencing StakeholdersAnalytical ThinkingProblem-Solving

Tools & Technologies

AI AgentsGenerative AI ToolsLarge Language ModelsDigital Analytics PlatformsCustomer Support Systems

Industry Keywords

Customer ExperienceCustomer Insights AnalyticsData ScienceOperational MetricsKPI Tracking

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 to customer support conversations, transcripts, and tickets
Develop customer segmentation and clustering models to identify common customer issues and recommend targeted solutions
Integrate customer feedback with transactional, operational, and behavioral data to identify drivers of customer satisfaction and business outcomes
Design, test, and launch customer experience and support metric scorecards to track KPIs and evaluate performance
Leverage Generative AI tools, large language models, and AI agents to automate analysis, clean datasets, generate visualizations, and streamline workflows
Quantify business impact and ROI of customer experience initiatives
Communicate analytical findings through reports and presentations, influencing stakeholders and driving corrective actions
Attend internal practice community meetings and collaborate on industry thought leadership
Complete client case studies and learning materials, including blogs and media materials
Build materials for the Digital Transformation practice
Attend internal networking events and work with leadership on career fast-track opportunities

Requirements

What you’ll need

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field required
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
Candidates must be able to work Central or Pacific Time hours
Direct W2 candidacy required; sponsorship is not offered

Benefits

Comp & perks

Comprehensive medical benefits
Dental insurance
Vision insurance
Life insurance
401(k) plan
401(k) matching
Paid holidays
Networking and career learning and development programs
Potential for contract extension or conversion