1

Text Analytics Jobs in New York (NOW HIRING)

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Deep knowledge of critical reading strategies, literary analysis, informational and argumentative text analysis, vocabulary building, text complexity navigation, and evidence-based reasoning. Ability ...

Showing results 41-60

Text Analytics information

See New York salary details

$70.6K

$137.1K

$195.8K

How much do text analytics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for text analytics in New York is $137,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $163,000.00 per year, depending on experience, location, and employer.

What is a text analytics?

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 does a text analytics do?

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 are the key skills and qualifications needed to thrive in text analytics?

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 the most commonly searched types of Text Analytics jobs in New York?

The most popular types of Text Analytics jobs in New York are:

What job categories do people searching Text Analytics jobs in New York look for?

The top searched job categories for Text Analytics jobs in New York are:

Infographic showing various Text Analytics job openings in New York as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $137,111 per year, or $65.9 per hour.

Data Analytics Manager - Global Network Analytics - Payments

Capital One

New York, NY • On-site

Full-time

Posted 10 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Data Analytics Manager - Global Network Analytics - Payments

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

This role will play a critical part in project execution and delivery for our Global Network Analytics team within our Global Payment Network (GPN) business. The GNA department provides analytical solutions to payment businesses covering the whole lifecycle of participant management. This department has a variety of teams that handle a plethora of topics including but not limited to: marketing, pricing, fraud, optimization, automation, restitution, and even GenAI and text modeling.

What you'll do:

  • Drive current and future strategy by leveraging your analytical skills

  • Assist with building and using models to test and validate data

  • Work with vast amounts of data in new and evolving environments

  • Be a part of growing and developing our brand in new and emerging markets

  • Leverage analytics to create a customer experience above our peers

  • Be a part of the full life cycle of projects and see end results

  • Collaborate across business units

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

  • Experience real work life balance, with little travel involved

On any given day you will be:

  • Mining data to arrive at specific and crucial information for the organization

  • Identifying and implementing process, data, and reporting improvements for the organization

  • Working with large and complex databases containing millions to billions of records

  • Improving operational efficiencies and effectiveness

  • Conducting analysis to evaluate processes and tests

  • Extracting and analyzing data to gauge product offerings

  • Consulting on the design and implementation of new production and data storage systems

  • Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

  • Currently has, or is in the process of obtaining a:

    • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or

    • Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 7 years of professional data analysis work experience

  • At least 4 years of experience with Python, R, Spark or SQL

  • At least 1 year of experience in people management

  • At least 1 years of project management experience

  • At least 1 year of experience in Tableau

  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York, NY: $179,700 - $205,100 for Data Analysis Manager


Riverwoods, IL: $149,800 - $171,000 for Data Analysis Manager


Chicago, IL: $149,800 - $171,000 for Data Analysis Manager









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom