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Text Analytics Jobs in Minnesota (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 ...

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Showing results 1-20

Text Analytics information

See Minnesota salary details

$63.2K

$122.7K

$175.3K

How much do text analytics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for text analytics in Minnesota is $122,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $145,900.00 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 the most commonly searched types of Text Analytics jobs in Minnesota? The most popular types of Text Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Text Analytics jobs? Cities in Minnesota with the most Text Analytics job openings:
Infographic showing various Text Analytics job openings in Minnesota as of July 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 100% In-person job distribution, with an average salary of $122,746 per year, or $59 per hour.
Manager of Data Analytics - UHC Cove

Manager of Data Analytics - UHC Cove

UnitedHealth Group

Minnetonka, MN • Hybrid

Full-time

Medical, Retirement

Posted 27 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 881 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together.

UnitedHealthcare is seeking a Manager of Data Analytics to lead a team of data analysts supporting the Consumer Operations Vital and Experience Hub (COVE).  COVE monitors consumer experience, provider experience, and core operational experiences, enabling early detection of issues and data driven decision making across lines of business.  This role reports to the Associate Director of Data Analytics and is responsible for day to day people leadership, delivery management, and analytic execution 

The Manager of Data Analytics supports the Associate Director in ensuring that analytic strategy and technology advancement is executed consistently and effectively through high-quality reporting, insights, and analytics.

This role balances hands-on analytical leadership with coaching, prioritization, and stakeholder management.  In addition, this role helps bring maturity to COVE analytics capabilities, ensuring the data team delivers tools and resources to detect and research critical issues and to deliver high-impact insights across the organization.

This position is hybrid, with a minimum of 4 days per week in office at the 9700 Building in Minnetonka, MN.

Primary Responsibilities:

People Leadership & Team Management

  • Directly manage, coach, and mentor a team of data analysts, supporting performance, engagement, and professional development
  • Conduct regular one-on-ones, performance reviews, and development planning aligned to individual career paths and business needs
  • Set clear expectations for analytic quality, responsiveness, and professional standards
  • Foster a collaborative, inclusive, and continuous learning team culture

Analytics Delivery & Execution

  • Manage day to day execution of analytics and reporting work, ensuring timely delivery and alignment to business priorities
  • Oversee intake, prioritization, and refinement of analytics requests in partnership with the Associate Director
  • Review and quality check dashboards, analyses, and presentations to ensure accuracy, consistency, and clarity
  • Ensure standardized metric definitions, documentation, and repeatable analytic processes

Analytic Guidance & Hands-On Support

  • Provide technical and analytical guidance to analysts on SQL, BI tools, data modeling, and analytic approaches
  • Serve as a hands on contributor for complex analyses, urgent operational needs, or high visibility deliverables as required
  • Support applied use of advanced analytics (e.g., trend analysis, forecasting, text analytics) in partnership with the Associate Director

Continuous Improvement & Enablement

  • Identify opportunities to improve analytic workflows, reporting efficiency, and team productivity
  • Partner with the Associate Director to implement new standards, tools, or processes
  • Promote knowledge sharing and best practices across the analytics team and broader organization

Cross-Functional Partnership

  • Work in close collaboration with consumer and provider/core teams to ensure analytics align to real operational questions and context

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 5 years of experience in analytics, data science, business intelligence, or a related quantitative field
  • 3 years of hands on experience delivering analytics, reporting, and insights for operational or leadership audiences
  • 2 years of experience leading, mentoring, or managing analysts or analytics teams
  • Advanced proficiency in SQL and working with large, complex datasets
  • Advanced experience with business intelligence tools such as Power BI, Tableau, or equivalent
  • Demonstrated ability to review and translate analytic outputs into clear, business ready insights
  • Experience working with Enterprise Data Warehouses and Data Lakes
  • Solid organizational, prioritization, and problem solving skills
  • Advanced proficiency in Excel and Microsoft Office tools (PowerPoint, Word, Visio)
  • Must live in the state of Minnesota and have the ability to work in the Minnetonka office an average of four (4) days per week

Preferred Qualifications:

  • Experience with Python or other analytical programming languages
  • Experience with machine learning or AI techniques applied to operational or experience analytics
  • Experience supporting contact center, omni channel, consumer experience, or provider experience domains
  • Proven ability to manage competing priorities in a fast paced, operational environment
  • Experience with cloud based analytics platforms such as Snowflake or Databricks
  • Healthcare or health insurance industry experience

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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