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Text Analytics Jobs in Texas (NOW HIRING)

HEB

Data Scientist - eCommerce

San Antonio, TX · On-site

$158K/yr

... 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 ...

HEB

Data Scientist - eCommerce

San Antonio, TX · On-site

... 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 ...

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Text Analytics information

What does text analytics do?

A job in text analytics involves analyzing large amounts of unstructured text data to extract meaningful insights, such as patterns, trends, and sentiments. It often requires skills in natural language processing (NLP), data analysis, and familiarity with tools like Python or R. The role supports decision-making in areas like customer feedback, social media monitoring, and market research.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications and experience, regardless of age.

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 is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Analytics, or Chief Data Officer typically offer the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with extensive experience and certifications.

Will AI replace a data analyst?

AI can automate certain tasks performed by data analysts, such as data cleaning and basic analysis, but it is unlikely to fully replace the role. Data analysts are needed for interpreting complex insights, making strategic decisions, and communicating findings, which require human judgment and domain expertise. Skills in data visualization, statistical methods, and tools like SQL or Python remain essential for the profession.

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 popular job titles related to Text Analytics jobs in Texas? For Text Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Text Analytics jobs in Texas look for? The top searched job categories for Text Analytics jobs in Texas are:
Text Analytics jobs near you
Infographic showing various Text Analytics job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 100% In-person job distribution.
Artificial Intelligence Technical Lead

Artificial Intelligence Technical Lead

Avani Technology Solutions, Inc.

Dallas, TX • On-site

Full-time

Posted 16 days ago

Job description

Artificial Intelligence Technical Lead
Dallas, TX or Indianapolis, IN
2 Years
No C2C at this moment. Any visa works
• Exposure to course work or projects in Machine Learning Libraries, Tensor Flow, Natural Language Processing (NLP) and Machine Vision
• At least 4 years' experience in application development using Python, R,
Python and R needed coming from a Java background or .NET Background.
Scala is a plus.
• At least 2 years' experience in handling data and working with database tools, e.g. SQL, Hadoop, Spark
• In this role, candidate will design, develop and create tools to get insight through application of machine learning, artificial intelligence and cognitive computing to build process automation platform. Candidate will be expected to be hands on as well as guide and mentor new analysts in the team.
Responsibilities:
• Work as a team lead in Automation and AI offering to understand underlying business problem and solutions
• Build Artificial Intelligence platform (Application development) through identification of appropriate machine learning algorithms
• As a team lead candidate will be working with various team members such as business analyst, data engineers, quality analyst, SMEs and with application developers
• Assess, document and articulate the effectiveness of different AI approaches
• Ability to create and train the models in machine learning methods including deep learning and ensembles
• Should be enthusiastic to learn and use APIs (like text analytics, language understanding etc.) to build AI and Cognitive applications
• Familiarity working with unstructured data
• Demonstrated experience solving business problems and delivering solutions to the client
• Ability to work in a multiple team and vendor environment
• Ability to work in an ambiguous and virtual environment
Qualifications
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent leadership and management skills
• Ability to work using Agile delivery methodology
• Master's Degree in a quantitative discipline such as mathematics, statistics, process engineering or operations research is preferred

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