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Text Analytics Jobs in California (NOW HIRING)

Insights Analyst

Santa Clara, CA ยท On-site +1

$85K - $90K/yr

Familiarity with text analytics and social listening tools preferred * Proficiency in LLMs (Claude, ChatGPT), Excel, PowerPoint, and the ability to learn new tools quickly * The power to take ...

Insights at Scale -- Conduct deep-dive analyses on unstructured text data and customer insights to inform strategic decisions. Create dashboards, visualizations, and self-serve tools -- including ...

Insights at Scale -- Conduct deep-dive analyses on unstructured text data and customer insights to inform strategic decisions. Create dashboards, visualizations, and self-serve tools -- including ...

Insights at Scale -- Conduct deep-dive analyses on unstructured text data and customer insights to inform strategic decisions. Create dashboards, visualizations, and self-serve tools -- including ...

Insights at Scale -- Conduct deep-dive analyses on unstructured text data and customer insights to inform strategic decisions. Create dashboards, visualizations, and self-serve tools -- including ...

Insights at Scale -- Conduct deep-dive analyses on unstructured text data and customer insights to inform strategic decisions. Create dashboards, visualizations, and self-serve tools -- including ...

Insights at Scale -- Conduct deep-dive analyses on unstructured text data and customer insights to inform strategic decisions. Create dashboards, visualizations, and self-serve tools -- including ...

Job#: 3037659 Analytics Manager Location: San Bruno, California (Onsite) Role Overview This is a ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

... text analytics for named entity recognition, sentiment analysis, and topic modelling. Hands-on research experience with time series modeling and forecasting with statistical, machine learning, deep ...

Understanding of text analytics and AI in marketing research a plus * Good communication skills and ability to present data findings in an easy to understand manner to internal and external clients ...

Understanding of text analytics and AI in marketing research a plus * Good communication skills and ability to present data findings in an easy to understand manner to internal and external clients ...

Understanding of text analytics and AI in marketing research a plus * Good communication skills and ability to present data findings in an easy to understand manner to internal and external clients ...

Data System Specialist

Irvine, CA ยท On-site

$77K - $100K/yr

Experience with Text Categorization and building semantic models using SAS Visual Text Analytics and/or open-source solutions * Experience building visualizations and dashboards for stakeholders (e.g ...

Data System Specialist

Irvine, CA ยท On-site

$77K - $100K/yr

Experience with Text Categorization and building semantic models using SAS Visual Text Analytics and/or open-source solutions * Experience building visualizations and dashboards for stakeholders (e.g ...

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Text Analytics information

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.

Infographic showing various Text Analytics job openings in California as of July 2026, with employment types broken down into 5% Internship, 55% Full Time, 35% Part Time, and 5% Temporary. Highlights an 100% In-person job distribution.

Data Analyst, Global Modeling Unit

Ipsos-Insight, LLC

Culver City, CA โ€ข On-site

$59 - $71K/hr

Other

Medical, PTO

Posted 7 days ago


Job description

What you can expect to be doing:

  • Clean, structure, code, and summarize survey and secondary data
  • Use statistical software (SPSS, R, etc.) and business software (Excel) to uncover and evaluate solutions, and assist project staff in running statistical analyses
  • Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures and chart creation.
  • Demonstrate your understanding of multivariate analysis and Ipsos proprietary products, and work with Client Service from understanding business questions, to design, analysis and application
  • Work from an analytic plan, assemble Excel outputs or PowerPoint decks to provide results and explanations for Client Service
  • Consistently ensure the timely delivery of error free work

This might be the job for you if you have:

  • BS degree or MS degree in Quantitative Marketing or Social Sciences, Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic/quantitative/research focus
  • Statistical analysis background is desirable
  • Knowledge and hands-on experience of SPSS or other statistical analysis packages
  • Python, R, VBA coding experience a bonus
  • Understanding of text analytics and AI in marketing research a plus
  • Good communication skills and ability to present data findings in an easy to understand manner to internal and external clients less familiar with statistical techniques
  • Inquisitive personality with a strong desire to learn
  • Ability to work both independently and as part of a team
  • Good attention to details and logical decision-making process

If you don't meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you're applying to!

In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $59.000 to $71,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.

What's in it for you:

At Ipsos you'll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.

To find out more about all the great reasons to work at Ipsos, how we're making an impact around the world, and more about our benefits and employee programs, please visit:
Why Work at Ipsos | US

Commitment to Diversity

Ipsos recognizes the necessity of building an inclusive culture that values each employee's individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos' diverse employees who compile and analyze this data-they are the essence of who we are and what we do.

We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.

Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

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