1

Text Analytics Jobs (NOW HIRING)

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

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 ...

AI/NLP Text Analytics Product Lead

Manhattan, NY · On-site

$184K - $212K/yr

The ideal candidate will have over 7 years of experience in product management, particularly within text processing, analytics, and SaaS environments. This role involves defining product strategies ...

... text analytics. • Predictive models to improve advertiser campaign performance • Machine learning models for categorizing web pages and content • Fraud detection & automated ranking content ...

... text analytics • Predictive models to improve advertiser campaign performance • Machine learning models for categorizing web pages and content • Fraud detection & automated ranking content ...

Manager, Advanced Analytics

San Bruno, CA · On-site

$133K - $202K/yr

Experience leveraging machine learning for data science modeling, text analytics, time series analysis, including Regression, Classification, and Forecasting. Experience building business strategies ...

Experience in deep dive analysis and applying analytic techniques to customer/consumer behavior data to determine key customer insights, drive business strategies and maximize ROI such as text ...

next page

Showing results 1-20

Text Analytics information

See salary details

$64.5K

$125.3K

$179K

How much do text analytics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for text analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

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.

More about Text Analytics jobs
What cities are hiring for Text Analytics jobs? Cities with the most Text Analytics job openings:
What are the most commonly searched types of Text Analytics jobs? The most popular types of Text Analytics jobs are:
What states have the most Text Analytics jobs? States with the most job openings for Text Analytics jobs include:
Infographic showing various Text Analytics job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 100% In-person job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Text Analytics

Full-time

Re-posted 17 days ago


Job description

Company Description

First IT Solutions

Job Description

Core skillsets include semantic technologies (RDF, OWL), knowledge representation, natural language processing, Text Mining, search algorithm development and development in Java/J2EE/Scala.

Good understanding and implementation of graph analytics and graph algorithm.

Experience with Big Data execution using Hadoop / Horton Works.

Experience with text mining using GATE or UIMA.

Good Knowledge of indices such as Apache Solr, Lucien and Elastic Search will be plus.

Good Knowledge of real time data streaming and offline data streaming.

The ability to conduct cost/benefit analysis

Business case development

Determines if Data Acquisition is needed

Analyzes source data

Modeling techniques and methods

Analytical skills

Experience and desire to work in a Global delivery environment

Qualifications

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 4 years of experience with Information Technology.

At least 3 years of experience as an Analyst involved in text/image processing techniques.

Additional Information

Job Status: Full Time

Eligibility: EAD GC or GC or US Citizen

Share the Profiles to mkonni(at)1stitsolutions(dot)com

Contact: 703 349 1214

Keep the subject line with Job Title and Location