1

Text Analytics Jobs in Texas (NOW HIRING)

We are looking for a skilled Speech and Text Analytics Specialist to become part of our Customer Experience and Contact Center Technology group. The perfect candidate will have practical experience ...

Software Developer

Lubbock, TX · On-site

$70K - $90K/yr

The lab will be equipped with capabilities in text analytics/Natural Language Processing, social media analytics, Big Data advanced analytics and Machine Learning. Role You will be responsible for ...

Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS SageMaker * Strong programming ...

... or text analytics. • Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. • Must ...

... or text analytics. • Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. • Must ...

... Text Analytics - Ability to create end-to-end ML solutions with guidance - Able to adapt within the team's foundational design (Confluence, Jira, Git, IDE's) - Open to learning new methodologies and ...

next page

Showing results 1-20

Text Analytics information

See Texas salary details

$60.1K

$116.8K

$166.8K

How much do text analytics jobs pay per year?

As of Jun 21, 2026, the average yearly pay for text analytics in Texas is $116,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a Text Analytics job?

A Text Analytics job involves extracting meaningful insights from unstructured text data using techniques like Natural Language Processing (NLP), machine learning, and statistical methods. Professionals in this field analyze text from sources such as customer reviews, social media, and documents to identify patterns, sentiment, and trends. Their work helps businesses make data-driven decisions, automate processes, and improve customer experiences. Common responsibilities include text preprocessing, developing models, and visualizing results for stakeholders.

What are some common projects or responsibilities for professionals working in Text Analytics?

Professionals in Text Analytics often work on projects such as sentiment analysis, topic modeling, entity recognition, and document classification, drawing insights from unstructured text data. A typical day may involve leveraging machine learning algorithms, cleaning and preprocessing text datasets, and presenting findings to stakeholders via reports or dashboards. Many text analytics specialists collaborate closely with data science teams, software developers, and business analysts to integrate their work into larger products and solutions. These responsibilities not only help organizations better understand customer feedback and market trends but also enable the automation of information extraction and decision-making processes. Over time, excelling in these areas can open doors to senior data science roles, lead analyst positions, or specialized NLP research opportunities.

What are the key skills and qualifications needed to thrive in the Text Analytics position, and why are they important?

To thrive in Text Analytics, you need expertise in natural language processing (NLP), data analysis, and strong programming skills in languages such as Python or R, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like NLTK, SpaCy, TensorFlow, and data visualization platforms, as well as relevant certifications in data science or machine learning, is highly valued. Critical thinking, communication, and problem-solving abilities help professionals interpret complex textual data and convey insights to diverse audiences. These skills are important because they enable you to extract actionable information from large datasets, drive data-driven decision-making, and support organizational goals efficiently.

What are the most commonly searched types of Text Analytics jobs in Texas? The most popular types of Text Analytics jobs in Texas are:
Infographic showing various Text Analytics job openings in Texas as of June 2026, with employment types broken down into 67% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $116,761 per year, or $56.1 per hour.

Speech and Text Analytics Specialist

eBay, Inc.

Austin, TX • On-site

$98K - $173K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago


eBay rating

8.6

Company rating: 8.6 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

6th of 716 rated retailers


Job description

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.
Primary Job Responsibilities:
We are looking for a skilled Speech and Text Analytics Specialist to become part of our Customer Experience and Contact Center Technology group. The perfect candidate will have practical experience in speech analytics, text analytics, conversational AI, and analyzing customer interactions through voice and digital mediums.
This role will focus on analyzing customer interactions to generate actionable insights, improve operational efficiency, enhance customer experience, and support technology-enhanced customer engagement initiatives. The candidate should have strong analytical skills, experience with contact center technologies, and the ability to work cross-functionally with operations, business, QA, and engineering teams.
Key Responsibilities:
  • Take responsibility for comprehensive interaction analytics spanning voice, chat, email, and surveys through speech and text analytics platforms (e.g., CallMiner, Genesys/ICX/STA/WEM).
  • Compose, build, and validate end-to-end technical architecture for interaction analytics: Bulk APIs, ETL/DWH pipelines, schemas, and downstream reporting layers.
  • Configure, test, and optimize speech/text models and configurations (categories, topics, dictionaries, Auto QA, behavioral models) across front-end tools and back-end data flows.
  • Lead end-to-end quality engineering (QE) for speech/text analytics solutions, including test strategy, automation, regression and performance testing, and production validation.
  • Perform detailed code-level and data-level validation with engineering teams; investigate and resolve data quality, recall, and performance issues across pipelines and dashboards.
  • Develop, take responsibility for, and keep up-to-date BRDs/PRDs and technical documentation (architecture diagrams, field mappings, runbooks, onboarding/admin guides) for interaction analytics initiatives.
  • Act as the primary bridge between business collaborators and engineering teams, translating use cases into technical requirements, backlog items, and release plans.
  • Run and support cross-functional project ceremonies (standups, backlog grooming, release readiness, weekly speech & text forums) and coordinate delivery across GCX, CSTech, CDT, Integration Services, and vendors.
  • Build and validate privacy, redaction, and access-control approaches for transcripts, audio, and derived analytics in partnership with InfoSec and Privacy.
  • Partner with analytics and BI teams to define metrics. Deliver dashboards and monitoring for usage, recall, performance, and operational health. Provide regular status and risk updates to director-level leadership.
  • Build dashboards, reports, and operational insights related to customer experience and contact center performance.

Required Qualifications
  • Bachelor's degree in computer science, Information Technology, Data Analytics, or related field.
  • 5 years of experience in Speech Analytics, Text Analytics, or Contact Center data analysis.
  • Strong understanding of customer interaction analytics and conversational intelligence.
  • Experience with Speech Analytics platforms and conversational AI technologies.
  • Practical experience working with contact center technologies like Genesys Cloud, or comparable platforms.
  • Experience evaluating voice and digital customer interactions.
  • Strong analytical abilities and problem-solving skills.
  • Experience with SQL, reporting tools, and data analysis.
  • Familiarity with REST APIs, JSON, and integration concepts.
  • Excellent communication and collaborator management skills.

Preferred Qualifications
  • Excellent structured analysis/build/testing methodology.
  • Excellent interpersonal, communication, project handling and problem-solving capabilities.
  • Project management skills and ability to communicate well within cross-functional teams.
  • Ability and willingness to mentor more junior personnel.
  • Ability to convert project requirements into logical sequence of tasks through delivery of the successful project.
  • Genesys Cloud Certification(s) would be a plus.

Additional Details
The base pay range for this position is expected in the range below:
$98,000 - $173,600
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

What eBay employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom