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Qualitative Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

... qualitative data Summarize and explain research findings and their implications Prepare findings ... IT Business Analyst or position equivalent. PREFERRED QUALIFICATIONS 5+ years of knowledge and ...

Data Analyst

Dayton, OH ยท On-site

$61K - $141K/yr

... qualitative data sets into compelling and understandable visuals. * Collaborate with project ... Use data analytics to form business insights, identify issues, and recommend effective ways to ...

Data Analyst

Dayton, OH ยท On-site +1

$61K - $141K/yr

... qualitative data sets into compelling and understandable visuals. * Collaborate with project ... Use data analytics to form business insights, identify issues, and recommend effective ways to ...

Data Analyst

Dayton, OH ยท On-site +1

$61K - $141K/yr

... qualitative data sets into compelling and understandable visuals. * Collaborate with project ... Use data analytics to form business insights, identify issues, and recommend effective ways to ...

Data Analyst

Dayton, OH ยท On-site

$61K - $141K/yr

... qualitative data sets into compelling and understandable visuals. * Collaborate with project ... Use data analytics to form business insights, identify issues, and recommend effective ways to ...

Client requires the services of a full-time Data Analyst to analyze qualitative and quantitative data to help support the agency's Continuum of Care project. The primary goal of the initiative is to ...

Data Analyst 1

Latham, NY ยท On-site

$66K - $85K/yr

... Compile, analyze, mine, parse and cleanse data related to agency processes, NYS, or national ... qualitative data collection. 8. Contribute to the development of dashboards, reports, and ...

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Qualitative Data Analyst information

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$34K

$82.6K

$136K

How much do qualitative data analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for qualitative data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Qualitative Data Analyst do?

A Qualitative Data Analyst interprets non-numerical data to uncover patterns, themes, and insights. They analyze interviews, surveys, transcripts, and other text-based or observational data to inform decision-making. Using coding techniques, thematic analysis, and software tools like NVivo or MAXQDA, they identify key trends. Their findings help businesses, researchers, and organizations understand human behavior, customer feedback, or social phenomena.

What are the key skills and qualifications needed to thrive in the Qualitative Data Analyst position, and why are they important?

To thrive as a Qualitative Data Analyst, you need expertise in qualitative research methods, data coding, and analytical thinking, often backed by a degree in social sciences or related fields. Familiarity with tools such as NVivo, ATLAS.ti, or MaxQDA and experience managing qualitative datasets are highly valuable. Strong attention to detail, effective communication, and the ability to synthesize information from diverse sources are standout soft skills. These abilities are crucial for producing insightful analyses and conveying complex findings to stakeholders.

Is a data analyst a high salary?

Data analysts, including those in qualitative data analysis, often earn competitive salaries that vary by experience, industry, and location. Entry-level positions typically start lower, while experienced analysts with specialized skills or certifications can command higher pay. Overall, data analysis roles are generally considered to offer good compensation compared to many other entry-level jobs.

Will AI replace a data analyst?

AI is unlikely to fully replace qualitative data analysts, as their role involves interpreting complex, nuanced data and providing insights that require human judgment. While AI tools can automate data processing and analysis, analysts are essential for contextual understanding, storytelling, and decision-making based on qualitative data. Skills in data interpretation, critical thinking, and domain knowledge remain vital for the role.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a qualitative data analyst, as the role values skills such as critical thinking, data interpretation, and proficiency with tools like Excel or SQL. Many professionals transition into data analysis later in their careers, and relevant certifications or training can help demonstrate competence regardless of age.

What does a qualitative data analyst do?

A qualitative data analyst collects, interprets, and analyzes non-numerical data such as interviews, focus groups, and observations to identify patterns and insights. They often use tools like NVivo or Atlas.ti and require strong analytical and communication skills to help organizations understand complex human behaviors and opinions.

What are some typical challenges a Qualitative Data Analyst might face in their daily work?

One common challenge for Qualitative Data Analysts is managing large volumes of unstructured data, such as interview transcripts or open-ended survey responses, which require careful organization and coding. Navigating ambiguous or nuanced information to extract meaningful themes can be complex and sometimes subjective, requiring effective collaboration with research teams to ensure interpretations are accurate and balanced. Staying updated with new qualitative analysis software and methodologies is also important for delivering the best results. However, these challenges make the role engaging and provide valuable opportunities to deepen your expertise and contribute significantly to impactful projects.

More about Qualitative Data Analyst jobs
What cities are hiring for Qualitative Data Analyst jobs? Cities with the most Qualitative Data Analyst job openings:
What states have the most Qualitative Data Analyst jobs? States with the most job openings for Qualitative Data Analyst jobs include:
Infographic showing various Qualitative Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Hybrid Data Analyst in Southington, CT

ACC Premiere

Southington, CT โ€ข On-site

$80K - $100K/yr

Other

Posted 17 days ago


Job description

Hybrid Data Analyst in Southington, CT - Contact Center Analytics & Conversational Intelligence (BPO)
Overview
We are seeking a Data Analyst to support a BPO contact center environment servicing multiple clients. The role focuses on transforming complex interaction and performance data into clear, actionable insights. Candidates must have strong experience building Tableau dashboards, mining data from conversational intelligence platforms, and working directly with clients to gather requirements, interpret results, and present insights that drive measurable improvements in customer experience and operational performance.
Key Responsibilities
  • Design, build, and maintain interactive Tableau dashboards that communicate trends, performance metrics, and actionable insights
  • Analyze structured and unstructured data from conversational intelligence tools (e.g. CallMiner, Genesys, contact center transcripts, QA data, sentiment, topic modeling, agent performance metrics)
  • Perform data mining and pattern analysis to uncover trends, anomalies, and opportunities for improvement
  • Partner with business stakeholders (Operations, QA, IT, Marketing) to understand requirements and define meaningful KPIs
  • Translate complex analytical findings into clear narratives and visual insights that inform decision-making
  • Ensure data accuracy, consistency, and reliability across reports and dashboards
  • Automate recurring reports and dashboards to improve efficiency and scalability
  • Support ad hoc analysis and deep-dive investigations related to customer behavior, agent performance, and operational outcomes
  • Continuously improve dashboard usability, performance, and visual storytelling

Required Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Business, Computer Science, or a related field (or equivalent experience)
  • 3+ years of experience as a Data Analyst or similar role
  • Advanced experience building dashboards and reports in Tableau
  • Hands-on experience with data mining and analysis using conversational intelligence platforms
  • Strong SQL skills and experience working with large datasets
  • Ability to analyze both quantitative and qualitative data (including text-based data)
  • Experience working in customer service, contact center, or CX analytics environments
  • Familiarity with AI-driven analytics, sentiment analysis, and speech/text analytics
  • Experience integrating data from multiple sources (e.g., CRM, telephony, QA systems, WFM, CI platforms)
  • Knowledge of data visualization best practices and storytelling techniques
  • Strong attention to detail and data quality standards
  • Excellent communication skills with the ability to present insights to diverse audiences

What Success Looks Like
  • Dashboards are intuitive, trusted, and widely used by clients and other key stakeholders
  • Insights lead to measurable improvements in customer experience, quality, or efficiency
  • Complex data is consistently transformed into clear, actionable intelligence
  • Support Quarterly Business Reviews (QBRs), performance reviews, and ad hoc client presentations

This is a full-time, hybrid position (three days in-office and two days remote) based in Connecticut.
Candidates must reside within a reasonable commuting distance of our Southington, CT office.
Salary is commensurate with experience.
***WE ARE UNABLE TO SPONSOR ANY RESIDENCY APPLICATIONS AT THIS TIME***
EEO Statement:
We are an equal-opportunity employer. We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, ancestry, age, disability, veteran status, or any other status legally protected by federal, state, or local law.