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Text Analytics Jobs (NOW HIRING)

unitQ

Customer Engagement Analyst

Mundelein, IL · On-site

$80K - $130K/yr

Curiosity about how customer feedback works at scale -- why categorization matters, how sentiment is measured, how text analytics produces business signal. * Bias toward producing artifacts. You ...

Jobsbridge

Sr. Big Data Architect

Sunnyvale, CA

$79 - $105.75/hr

Solid understanding of Big Data concepts - Hadoop and Advanced Analytics, Text Analytics, Machine Learning, etc. Understanding of HDFS, Pig, Hive, Mahout, Hbase, etc. - no development experience ...

D&G Solutions

Data Scientist

Bellevue, NE · On-site

LLM usage and text analytics • Expertise in: Python for automation and data processing • Expertise in: SQL and relational schema design • Expertise in: Visualization using Tableau/Power BI • ...

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

Proven expertise in NLP and text analytics, including transformer-based architecture (e.g., BERT and related models), embeddings, vector databases, and semantic search systems. * Hands-on experience ...

Index Analytics

Senior Data Scientist

Baltimore, MD · On-site +1

$155K - $194K/yr

Proven expertise in NLP and text analytics, including transformer-based architecture (e.g., BERT and related models), embeddings, vector databases, and semantic search systems. * Hands-on experience ...

New

psudo

Experience with text analytics, data mining and social media analytics. * Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks ...

HCLTech

Machine Learning Engineer

Plano, TX · On-site

... NLP and text analytics solutions using modern libraries and frameworks. • Monitor, govern, and maintain machine learning models throughout their lifecycle. • Collaborate with business ...

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$64.5K

$125.3K

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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:
What job categories do people searching Text Analytics jobs look for? The top searched job categories for Text Analytics jobs are:
Text Analytics jobs near you
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.
Advanced Analytics & Decision Intelligence

Advanced Analytics & Decision Intelligence

MISSION ONE, LLC

Washington, DC

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Benefits
  • 401(k) matching
  • Bonus based on performance
  • Dental insurance
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance
About the Role

Mission One is seeking an Intelligence Data Scientist / ORSA / Advanced Analytics Specialist to support mission intelligence and decision-making through advanced analytics and quantitative modeling. This role is ideal for professionals who can move from raw data to actionable insight—building forecasting tools, risk scoring models, anomaly detection pipelines, and operational dashboards that scale intelligence impact. You will work alongside all-source analysts, technical intelligence teams, and mission leaders to translate analytical outputs into real-world mission decisions.

Customer view

“Who can quantify the mission, forecast outcomes, and scale analytic insight?”

Key Responsibilities
  • Build and deploy predictive models and analytic pipelines supporting intelligence and operational decision-making
  • Develop forecasting tools, risk scoring algorithms, anomaly detection, and optimization models
  • Automate analytic workflows to improve speed, consistency, and mission scalability
  • Translate data outputs into actionable intelligence, operational recommendations, and decision-support briefs
  • Design dashboards, KPIs, and performance indicators for mission leaders and stakeholders
  • Work with both structured and unstructured data across varied sources
  • Collaborate with mission teams to integrate analytics into intelligence workflows and reporting cycles
Role Profiles

We welcome candidates aligned with one or more of the following:

  • Data Scientist
  • Operations Research / Systems Analyst (ORSA)
  • Decision Scientist
  • Statistician / Mathematician
  • Computer Scientist (analytics-oriented)
  • Advanced Analytics Specialist (National Security)
  • Decision Intelligence Analyst
Required Qualifications
  • Active security clearance
  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research, Engineering, or related field
  • 3+ years experience in analytics, modeling, data exploitation, or decision science
  • Ability to work with both structured and unstructured data
  • Strong communication skills: ability to translate quantitative findings into mission impact
  • Demonstrated ability to operate in fast-paced, mission-driven environments
Preferred Qualifications
  • Experience supporting national security missions (DoD, DHS, IC, federal law enforcement, or defense contracting)
  • Proficiency with Python and/or R, plus strong SQL
  • Experience with Jupyter notebooks, cloud platforms, and data pipeline tooling
  • Familiarity with platforms/tools such as:
    • Palantir, Databricks, Power BI, Tableau
    • cloud stacks (AWS/Azure/GCP)
    • workflow orchestration tools (Airflow, Prefect, etc.)
  • Experience with:
    • graph/network analytics
    • pattern-of-life analytics
    • predictive threat modeling
    • NLP or text analytics on unstructured sources
Typical Deliverables
  • Forecasting models and predictive analytic outputs
  • Risk scoring algorithms and prioritization tools
  • Analytic dashboards and decision support KPIs
  • Machine learning outputs integrated into intelligence workflows
  • Decision-support briefs and leadership-ready summaries
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