ZipRecruiter

Log In

1

Text Analytics Jobs in Ohio (NOW HIRING)

Tanisha Systems

OPEN TEXT WEM

Cleveland, OH · On-site

Company Description WWW.tanishasystems.com Mandatory Skills: Hands on and Working experience with Application hosted on WEM (Vignette),. Exposure towards OpenText release 16 WEM Capabilities.

Tanisha Systems

OPEN TEXT WEM

Cleveland, OH · On-site

Company Description WWW.tanishasystems.com Mandatory Skills: Hands on and Working experience with Application hosted on WEM (Vignette),. Exposure towards OpenText release 16 WEM Capabilities.

Qnity

Senior Data Scientist

Delaware, OH

Text analytics for competitive analysis * Product testing in field applications A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning ...

next page

Showing results 1-20

All JobsText Analytics JobsText Analytics Jobs in Ohio

Text Analytics information

See Ohio salary details

$61.3K

$119.1K

$170.2K

How much do text analytics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for text analytics in Ohio is $119,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $141,700.00 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.

What are popular job titles related to Text Analytics jobs in Ohio? For Text Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Text Analytics jobs in Ohio look for? The top searched job categories for Text Analytics jobs in Ohio are:
Text Analytics jobs near you
Infographic showing various Text Analytics job openings in Ohio as of July 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $119,147 per year, or $57.3 per hour.
OPEN TEXT WEM

OPEN TEXT WEM

Tanisha Systems

Cleveland, OH • On-site

Other

Re-posted 29 days ago

Job description

Company Description

WWW.tanishasystems.com

Job Description

Mandatory Skills:

Hands on and Working experience with Application hosted on WEM (Vignette),. Exposure towards OpenText release 16 WEM Capabilities.

OpenText WEM (aka Vignette 10.2 x, CMS/ECM) , DPM, VAP etc..

Java : JAVA/J2EE ,Servlet, JSP, RMI, Web service, Struts, Hibernate, Spring

DB: Oracle 9i/10G/11G, SQL Server, MySQL

Experience with OpenText DAM

Fundamental understanding of DAM/CMS components and tools (e.g. Watermarking, Cropping, Clipping, Transcoding, proxy concept and metadata formats, like XMP)

Knowledge of asset management and web content technologies (e.g. Metadata Repository, Workflow, Search, Security/DRM, Publishing, Distribution, Archival)

Hands-on experience in configuration, development and deployment of a DAM solution.

Experience with different digital media assets (e.g. Images, Docs, Audio, Video), versions, delivery formats, metadata, access rights, data conversion, and ETL

Roles & Responsibilities

Worked as Tech Lead (handling a team 5-8 resources)

Having good hands on working exp with Vignette, DAM, Java/J2ee skills , Having implementation exp with Vigntte Content Management and Content Delivery Frameworks.

Have experience of troubleshooting and supporting WEM Application

Have a very good knowledge of Content Management tool/Content Delivery Frameworks Vignette.

Have a good exposure to Deployment Process.

Experience working with a variety of stakeholders to capture business and technical requirements

Additional Information

Best Regards,

Vishnu Saraf
Talent Acquisition Specialist, Tanisha Systems Inc

Phone: 212-729-6543 Ext 361

Address: Empire State Building 350 5th Ave, Suite 3012 New York, NY 10118




Apply