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Text Analytics Jobs in California (NOW HIRING)

Mindlance

Data Scientist

San Francisco, CA · On-site

... text analytics. • Predictive models to improve advertiser campaign performance • Machine learning models for categorizing web pages and content • Fraud detection & automated ranking content ...

Mindlance

Data Scientist

San Francisco, CA · On-site

... text analytics • Predictive models to improve advertiser campaign performance • Machine learning models for categorizing web pages and content • Fraud detection & automated ranking content ...

Walmart

Manager, Advanced Analytics

San Bruno, CA · On-site

$133K - $202K/yr

Experience leveraging machine learning for data science modeling, text analytics, time series analysis, including Regression, Classification, and Forecasting. Experience building business strategies ...

Jobsbridge

Sr. Big Data Architect

Sunnyvale, CA · 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 ...

psudo

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

Apple

WW RCC Data Scientist

Cupertino, CA · On-site

We are seeking a highly motivated Senior Data Scientist to help inform innovation strategy by leading analysis into behavioral segmentation, pilot measurement, text analytics and AI tools integration.

Suncap Technology

Required Skills

Mountain View, CA · On-site

Experience with Data Manipulation using Python/Pyspark Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim Interested in Text analytics, Natural Language ...

Assa Abloy

Customer Insights Analyst

Lake Forest, CA · On-site

$80/hr

Hands-on experience applying AI tools to customer insights workflows (e.g., text analytics, automated summarization, insight generation). What we offer We're passionate about providing amazing ...

ASSA ABLOY

Customer Insights Analyst

Lake Forest, CA · On-site

$80/hr

Hands-on experience applying AI tools to customer insights workflows (e.g., text analytics, automated summarization, insight generation). What we offer We're passionate about providing amazing ...

Asian Americans Advancing Justice - Los Angeles

$22/hr

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

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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.

What are popular job titles related to Text Analytics jobs in California? For Text Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Text Analytics jobs in California look for? The top searched job categories for Text Analytics jobs in California are:
Text Analytics jobs near you
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.

Senior Manager, VOC Advanced Analytics

Hyundai Motor Company

Fountain Valley, CA • On-site

$114K - $164K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

New

Job description

At Hyundai, we've rethought our business and created cars that combine performance, quality, design and innovation into a complete package.
It's time you rethink what you expect from an employer.
At Hyundai, we understand you're not just building a career - you're building a life. We believe in our people and realize that our success is a direct result of our commitment in offering you great opportunities for your career. If you would enjoy working in a dynamic environment and are looking for a chance to become part of a stellar team of professionals, we invite you to apply online today.
WORK MODEL
#LI-OnSite
WHAT YOU WILL DO
  • Lead advanced analytics and data science initiatives that generate predictive, prescriptive, and root-cause insights across Voice of the Customer (VOC), product quality, and customer care data. This role focuses on leveraging statistical modeling, machine learning, and AI/GenAI techniques to proactively identify risks, optimize operations, and drive measurable improvements in customer satisfaction and product quality.

HOW YOU WILL MAKE AN IMPACT
Advanced Analytics Strategy
  • Define and execute the advanced analytics roadmap across VOC, Customer Care, and Product Quality.
  • Identify and prioritize high-impact analytical opportunities aligned with enterprise objectives.

Predictive Modeling & Data Science
  • Develop and deploy predictive models for warranty forecasting, churn prediction, and case escalation risk.
  • Apply statistical modeling, time-series forecasting, and trend analysis to identify risks, opportunities, and performance drivers.

Root Cause Analysis
  • Lead complex analyses to identify root causes of customer dissatisfaction, quality issues, and emerging risks.
  • Integrate VOC, operational, and warranty data to generate actionable business insights and support decision-making.

Text Analytics & GenAI
  • Apply NLP and GenAI techniques to analyze surveys, call transcripts, cases, and other unstructured VOC data.
  • Develop scalable frameworks for sentiment analysis, topic modeling, and automated insight generation.

Experimentation & Optimization
  • Design and execute experiments, including A/B testing and causal analysis, to evaluate process improvements and customer experience initiatives.
  • Deliver prescriptive recommendations to improve operational performance and customer outcomes.

Data Integration, Executive Insights & Leadership
  • Partner with Data Engineering teams to build scalable datasets and analytics-ready environments and ensure models are integrated into reporting solutions.
  • Present findings to senior leadership, translate results into business actions, and lead data scientists and analysts while establishing modeling standards and delivering predictive insights that influence enterprise decision-making.

WHAT YOU WILL BRING TO THE ROLE
  • Bachelor's degree in a quantitative field required.
  • Master's degree preferred (Data Science, Analytics, Engineering, etc.).
  • Eight or more years in data analytics, business intelligence, or data science.
  • At least three years of experience leading analytics teams.
  • Experience in automotive, customer care, VOC, or product quality analytics strongly preferred.
  • Experience with survey/VOC data, warranty data, or dealer performance analytics highly desirable.
  • Advanced analytics: Python, SQL.
  • Familiarity w/ Azure AI, OpenAI/Claude APIs.
  • Visualization: Tableau / Power BI.
  • Data engineering & prep: Alteryx/MS Fabric, DataMart design, ETL frameworks.
  • Statistical modeling, forecasting, and machine learning.
  • Text analytics/NLP/GenAI for VOC or survey data.
  • Strong analytical mindset with ability to solve complex business problems.
  • Ability to synthesize large, complex datasets into actionable insights.
  • Executive communication and storytelling skills.
  • Ability to operate in a fast-paced, cross-functional environment.
  • Strong organizational, documentation, and process design skills.

WHAT HYUNDAI CAN OFFER YOU
  • Monthly Hyundai/Genesis vehicle lease allowance (including insurance and maintenance)
  • Holiday Pay - the company shuts down with pay between Christmas and New Years.
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • 401(k) retirement plan with Employer Match
  • Additional 401(K) Employer Enhanced Contribution program - eligible after 1 year of employment, in addition to the regular employer matching contribution
  • Vacation and sick time off
  • Employer-paid basic life and disability coverage, including Paid-Family Leave.
  • Mental health, wellbeing, and employee assistance program
  • Health advocate (support)
  • Education Reimbursement program: Up to $5,250 per year for employees seeking higher education degrees.
  • External Training and Development Programs
  • Compensation Range: $114,800.00 - $164,000.00 annual base salary

WHAT HAPPENS NEXT
Express your interest by submitting an application. Once your application is received, our recruiting team will review your application to see if you meet the basic and preferred qualifications listed on the job description. For more information on our hiring process please visit our How We Hire page.
OTHER DETAILS
  • Physical requirements: Normal office duties.
  • Must be able to travel domestically

Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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