1

Text Analytics Jobs (NOW HIRING)

Proficiency in Excel, dashboards or crosstab tools, and presentation platforms, plus curiosity and aptitude for AI-enabled tools for data prep, text analytics, and visualization. * Growth mindset ...

Proficiency in Excel, dashboards or crosstab tools, and presentation platforms, plus curiosity and aptitude for AI-enabled tools for data prep, text analytics, and visualization. * Growth mindset ...

Sr. Big Data Architect

Sunnyvale, CA ยท On-site

$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 ...

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 Jun 1, 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 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 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 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 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 38% In-person, 37% Hybrid, and 25% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Analytics Lead

Analytics Lead

The Directions Group

Cincinnati, OH โ€ข On-site

Full-time

Posted 4 days ago


Job description

Client Service - Analytics Lead
The Directions Group | Strategic Insights Firm
Location: Cincinnati, OH (Hybrid) or Remote (US)
The Directions Group is redefining how insights power client decisions, shifting from one-off research projects to a connected intelligence engine that actively shapes strategy. Within this model, our client service "pods" blend relationship leadership, synthesis, analytics, and flawless execution into a single, integrated team.
Every client-facing pod at The Directions Group is built around four distinct yet tightly connected roles, all operating with shared ownership for client success and intelligence quality.
  • Analytics Lead (AL): Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative.
  • Client Relationship Lead (CRL): Owns the client business relationship from first conversation through final delivery, ensuring every engagement is designed around what the client truly needs - not just what was initially requested.
  • Intelligence Lead (IL): Acts as the synthesis and storytelling engine, integrating findings across methods and projects to create an integrated intelligence story that makes the "so what / now what" unmistakably clear.
  • Logistics Lead (LL): Functions as the operational backbone, orchestrating timelines, partners, and workflows so work happens at the right time, in the right way, with the right quality.

Pods operate with flexibility, so while each person leads from their lane, team members may periodically flex into adjacent responsibilities to maintain a seamless client experience.
As an Analytics Lead, you will be the hands-on insights partner who turns data into clear, actionable stories and "now what" recommendations. You will design and lead modern, AI-enabled analytic approaches, connect multiple data sources, and partner closely with Intelligence and Client Relationship Leads to shape client-ready narratives.
You'll thrive in this role if you have:
  • At least 5 years of experience in market research, insights, analytics, strategy, marketing, or a related field.
  • Experience in multi-country and B2B research is a plus, especially within healthcare, pharma, medical device, or technology industries.
  • Track record owning day-to-day analytics on projects and playing an active role in client-facing deliverables and discussions.
  • Strong communicator and natural storyteller who enjoys client interaction, asks smart questions in the moment, and brings an emerging consultative presence that challenges constructively and thinks like an owner of the business problem.
  • Fluency with core research methods including strong command of quantitative methods (tracking, segmentation, concept/product tests, and selected advanced techniques) and comfort working across multiple data sources.
  • Proficiency in Excel, dashboards or crosstab tools, and presentation platforms, plus curiosity and aptitude for AI-enabled tools for data prep, text analytics, and visualization.
  • Growth mindset, critical thinking, and the ability to operate calmly and effectively across multiple projects in a fast-moving environment.

Directions is an Equal Opportunity Employer (EEO), including disability/vets