Senior CX Insights Analyst

Gainwell Technologies

. Collaborate with team members and stakeholders to define key business metrics, deeply understand business challenges, and gather requirements for insights that should be made available at scale .

Posted 5/7/2026full-timeRemote • Texas • 🇺🇸 United StatesSenior💰 $69,400 - $99,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCognosPythonSQLTableau

About the role

Key responsibilities & impact

Collaborate with team members and stakeholders to define key business metrics, deeply understand business challenges, and gather requirements for insights that should be made available at scale
Architect and maintain data pipelines, design data models, and build new dashboards to address stakeholder needs across multiple business domains
Analyze large volumes of structured and unstructured data (text, logs, call notes, chat transcripts, surveys, etc.) to surface emerging trends, signals, and potential pain points in customer and operational journeys
Stitch structured and unstructured datasets to deliver holistic, omnichannel insights, providing a full customer and operational view across channels
Apply NLP, classification techniques, clustering, or pattern‑detection methodologies (where applicable) to discover insights—following the data to uncover hidden opportunities or emerging issues
Deliver clear, compelling presentations that translate complex analytical findings into actionable recommendations for executives and operational teams
Maintain and enhance existing data infrastructure, dashboards, and reporting assets based on evolving business needs
Publish and maintain clear documentation to inform and educate users at scale, gather feedback, and identify opportunities for improvement
Identify ways to streamline and improve efficiency across channels, including workflow automation and process optimization
Work cross‑functionally with product, engineering, operations, CX, data governance, and other teams to align on data needs, requirements, and solutions
Stay organized, manage multiple priorities, and adjust analytical approaches as new data signals or unexpected patterns emerge

Requirements

What you’ll need

2–5 years of experience in Data Analytics
Experience in Python and/or other data scripting languages and hands-on experience with a BI visualization tool (Power BI, Tableau, Cognos, etc.)
Strong SQL querying and data modeling skills, with experience analyzing large structured and unstructured datasets (e.g., text, transcripts, logs)
Ability to stitch structured and unstructured data to produce omnichannel insights and detect emerging trends or pain points
Experience with cloud data environments (AWS or Azure preferred)
Experience with data governance, data quality concepts, or data quality tools

Benefits

Comp & perks

generous, flexible vacation policy
401(k) employer match
comprehensive health benefits
educational assistance
variety of leadership and technical development academies to help build your skills and capabilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsPythonSQLdata modelingNLPclassification techniquesclusteringpattern-detection methodologiesworkflow automationprocess optimization

Soft Skills

collaborationcommunicationpresentationorganizationprioritizationproblem-solvingfeedback gatheringcross-functional teamworkadaptabilityanalytical thinking