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Qualitative Data Analyst Jobs in California (NOW HIRING)

The Rockridge Group

Data Analyst

Concord, CA · On-site

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... share qualitative and quantitative analysis. * Evaluate the multichannel impact of marketing ...

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... quantitative or qualitative analyses addressing meaningful business concerns and inquiries.

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... or qualitative analyses addressing meaningful business concerns and inquiries. Coordinate and ...

Stanford University

Research Data Analyst 2

Stanford, CA

$108K - $128K/yr

... for data management and analysis work focused on population health. The Stanford Center for ... The focus on validation through both quantitative and qualitative sources aims to better understand ...

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

... for data management and analysis work focused on population health. The Stanford Center for ... The focus on validation through both quantitative and qualitative sources aims to better understand ...

Naughty Dog

Research Data Analyst

Santa Monica, CA

Collaborate with User Research to connect quantitative analysis with qualitative findings from ... Experience working with telemetry data and game analytics workflows. * Strong analytical and ...

Phihong USA Corp

Operations Research Analyst

Fremont, CA · On-site

$107K - $127K/yr

Prepare analytical reports for the local and international business operations with quantitative and qualitative data. * Analyze and review existing operation procedures and convert complex data and ...

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

$51.83 - $64.76/hr

Collaborate with User Research to connect quantitative analysis with qualitative findings from ... Experience working with telemetry data and game analytics workflows. * Strong analytical and ...

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All JobsQualitative Data Analyst JobsQualitative Data Analyst Jobs in California

Qualitative Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do qualitative data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for qualitative data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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 as a qualitative data analyst?

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.

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.

Is qualitative research a stressful job?

Qualitative Data Analysts often work with complex data and tight deadlines, which can contribute to stress. However, the job typically involves collaborative environments and the use of analytical tools, and stress levels vary depending on workload and organizational support.

What are popular job titles related to Qualitative Data Analyst jobs in California?

For Qualitative Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Qualitative Data Analyst jobs in California look for?

The top searched job categories for Qualitative Data Analyst jobs in California are:

What cities in California are hiring for Qualitative Data Analyst jobs?

Cities in California with the most Qualitative Data Analyst job openings:

Qualitative Data Analyst jobs near you
Infographic showing various Qualitative Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Data Analyst - Clinician Experience

Midi Health

Palo Alto, CA • On-site, Remote

$101K - $127K/yr

Full-time

Posted 7 days ago

Key responsibilities

  • Analyze and track the clinician hiring funnel, onboarding, credentialing, and retention to identify bottlenecks and improve efficiency.

  • Design and maintain performance scorecards and dashboards to monitor operational efficiency metrics such as appointment start times and inbox turnaround times.

  • Develop scoring frameworks and evaluation logic to quantify provider attributes like empathy and clinical safety, and analyze their impact on patient retention and satisfaction.

Job description

Hybrid, Palo Alto or San Francisco (Hybrid - 2 days/week in office)
Reports to: Director Data Science + Analytics
Job Type: Full-time W2
About the Role
We are looking for a highly analytical and business-mindedSenior Data Analyst to design, build, and own the end-to-end analytical framework for our most critical operational asset: our clinician workforce. In this role, you will own the data ecosystem spanning the entire clinician lifecycle-from the moment a provider enters our recruiting funnel, through onboarding, credentialing, and state licensing, to their ongoing clinical performance, operational efficiency, and downstream business impact on patient retention.
You will develop performance frameworks that merge operational SLAs (e.g., on-time arrival, inbox turnaround times) with clinical quality and safety metrics. Additionally, you will lead our efforts in provider interaction analytics, creating evaluation and scoring logic to quantify qualitative behavioral dimensions, such as clinician empathy from consultation transcripts. Sitting at the intersection of Clinical Operations, Quality, Talent, Business Strategy, and Product, you will serve as the primary analytical partner to our Clinical Leadership and Executive team.
What You'll Do
1. Clinician Lifecycle & Funnel Analytics
  • Recruiting & Onboarding Optimization: Track and analyze the provider hiring funnel to uncover drop-off points, streamline time-to-hire, and improve conversion rates across clinical specialties.
  • Credentialing & Licensing Efficiency: Build predictive frameworks and monitoring dashboards to reduce state-by-state licensing bottlenecks and decrease provider time-to-first-consultation.
  • Cohort Retention & Attrition Modeling: Analyze first-year clinician retention trends, identifying early-warning indicators of burnout or regrettable turnover, and evaluating the long-term impact on operational capacity.
2. Operational Performance & Efficiency Metrics
  • Operational SLA Tracking: Design and maintain performance scorecards tracking operational efficiency metrics, including appointment on-time start rates, EMR/EHR inbox turnaround times, chart completion speed, and panel utilization.
3. Clinical Quality, Safety & Interaction Scoring
  • Transcript & Empathy Analytics: Establish scoring frameworks and evaluation logic to extract insights from visit transcripts. Quantify qualitative provider attributes (e.g., patient rapport, empathy, active listening) using sentiment and text analytics LLM tools.
  • Clinical Safety & Quality Alignment: Partner with the Clinical Quality and Safety teams to incorporate chart audit scores and clinical safety compliance into unified provider scorecards.
4. Downstream Patient & Business Impact
  • Clinician Impact on Patient Retention: Conduct causal and correlation analyses linking specific clinician behaviors, operational SLAs, and empathy scores directly to patient retention, net promoter scores (NPS), and long-term treatment plan adherence.
  • Executive Reporting & Strategic Guidance: Translate complex provider performance data into clear executive dashboards and strategic frameworks that directly inform clinician compensation, training programs, and operational workflows.
What You Bring
Technical Skills
  • Advanced SQL & Data Modeling: Expert-level SQL skills for querying, transforming, and modeling complex relational databases across disparate operational and EHR systems.
  • Python Proficiency: Advanced skills in Python for statistical analysis, cohort modeling, survival analysis, and text/sentiment processing.
  • Data Visualization & BI: Proven ability to design intuitive, executive-ready dashboards in modern BI tools (e.g., Looker, Tableau, PowerBI).
  • Text Analytics & NLP Awareness: Familiarity with text mining, sentiment analysis, or prompt-based LLM evaluation frameworks for processing qualitative data (transcripts, chat logs, survey notes).
  • Modern Analytics Stack & AI Tools: Experience with cloud data warehouses (Snowflake, BigQuery, Databricks) and active adoption of modern AI tools (e.g., LLMs for coding efficiency, automated insights) to accelerate analytics workflows.
Analytical & Domain Capabilities
  • Healthcare Operations Intuition: Understanding of clinical operations, provider scheduling, EMR/EHR workflows (e.g., Epic, Athena, or proprietary telehealth EHRs), and clinical quality metrics.
  • Behavioral & Lifecycle Analytics: Experience with cohort analysis, retention modeling, and constructing behavioral/qualitative scoring models.
  • Strategic Problem Structuring: Ability to take unstructured business and clinical questions and translate them into rigorous, answerable quantitative frameworks.
  • Cross-Functional Influence: Demonstrated ability to partner effectively with non-technical stakeholders, particularly Clinical Lead/Medical Directors, Operations leads, and Talent teams.
Experience
  • 5+ years of data analytics experience delivering high-impact operational or workforce insights.
  • Healthcare Experience: Strong preference for background in Digital Health, Telehealth, Tech-enabled Medical Groups, or Health Operations. (Strong candidates with backgrounds in People Analytics/People Data Science with exposure to operational telemetry are also encouraged to apply.)
  • Bachelor's or Master's degree in Quantitative discipline (Data Analytics, Health Informatics, Statistics, Industrial Engineering, Economics) or equivalent practical experience.
Interview Process:
Recruiter Screen- 30 mins
Hiring Manager Screen- 30 mins
Technical Screen- 1hr
Panel Interviews- 3 hours + Lunch in Office in Palo Alto
At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.
This is a full-time W2 position. The base salary range is 150-175K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits.
While you're waiting for us to review your portfolio, here's some fun content to check out
https://www.youtube.com/watch?v=1px7i6MVjNg
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At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant's salary history.
Please find our CCPA Privacy Notice for California Candidates here.

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