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Healthcare Risk Analyst Jobs in California (NOW HIRING)

TikTok

Risk Analyst

San Jose, CA · On-site

We balance risk management with user experience to support TikTok Ads' healthy growth. The team ... Interpret, analyze, and assess risks, emergency situations, and potential challenges. Develop and ...

TikTok

Risk Analyst

San Jose, CA · On-site

$108K - $208K/yr

We balance risk management with user experience to enable the healthy growth of TikTok Ads ... Responsibilities - Interpret, analyze, and assess risks, emergency situations, and potential ...

Sapta Global Inc

Risk Analyst

Signal Hill, CA · On-site

Full Job DescriptionStrategic Analytics Risk - Associate Salary: 85 Hr. Jersey City, NJ Main As ... These benefits include comprehensive health care coverage, on-site health and wellness centers, a ...

Moffitt

Risk Manager

Long Beach, CA · On-site

$73K - $111K/yr

Conduct root cause analysis and formulate and coordinate enterprise-wide implementation of risk ... Bachelor's Degree in Healthcare Risk Management, Quality and Safety or related field of study.

Holland Hospital

... health care risk management role * In-depth knowledge of Enterprise Risk Management (ERM) domains and risk management principles, methodologies, and best practices * Strong analytics skills and the ...

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Healthcare Risk Analyst information

What does a healthcare risk analyst do?

A Healthcare Risk Analyst is responsible for identifying, assessing, and minimizing risks within healthcare organizations to ensure patient safety and regulatory compliance. They analyze data on incidents, adverse events, and potential liabilities, then develop strategies to mitigate those risks. Their work often involves collaborating with medical staff, administrators, and legal teams to implement policies and training that reduce the likelihood of errors or accidents. Ultimately, their goal is to protect patients, staff, and the organization from harm and financial loss.

How does a healthcare risk analyst typically collaborate with clinical staff to identify and mitigate potential risks in a healthcare setting?

Healthcare Risk Analysts frequently work alongside nurses, physicians, and other clinical staff to identify areas where patient safety and regulatory compliance could be improved. This often involves reviewing incident reports, facilitating root cause analyses, and leading or participating in multidisciplinary meetings to discuss risk trends and develop preventative strategies. Effective communication and relationship-building skills are essential, as analysts must translate complex data findings into practical recommendations that clinical teams can implement. This collaborative approach helps create a culture of safety and continuous improvement throughout the healthcare organization.

What are the key skills and qualifications needed to thrive as a healthcare risk analyst, and why are they important?

To thrive as a Healthcare Risk Analyst, you need strong analytical abilities, knowledge of healthcare regulations, and a degree in healthcare administration, risk management, or a related field. Familiarity with risk management software, incident reporting systems, and data analysis tools like Excel or SAS is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for identifying potential risks and collaborating with multidisciplinary teams. These skills and qualities are vital for proactively managing risks, ensuring regulatory compliance, and protecting patient safety within healthcare organizations.

What is the difference between Healthcare Risk Analyst vs Healthcare Data Analyst?

AspectHealthcare Risk AnalystHealthcare Data Analyst
Required CredentialsBachelor's degree in healthcare, risk management, or related field; certifications like RAC or ARM beneficialBachelor's degree in healthcare, statistics, or data analysis; certifications like CPC or Certified Health Data Analyst helpful
Work EnvironmentHealthcare organizations, insurance companies, risk management departmentsHospitals, clinics, healthcare IT firms, insurance companies
Employer & Industry UsageFocuses on assessing and mitigating risks within healthcare settingsAnalyzes healthcare data to improve patient outcomes and operational efficiency

The Healthcare Risk Analyst primarily evaluates and manages risks in healthcare settings, often working with insurance and compliance teams. In contrast, the Healthcare Data Analyst focuses on analyzing healthcare data to support decision-making and improve healthcare delivery. While both roles require analytical skills and healthcare knowledge, their core responsibilities and work environments differ.

What are popular job titles related to Healthcare Risk Analyst jobs in California?

For Healthcare Risk Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Healthcare Risk Analyst jobs in California look for?

The top searched job categories for Healthcare Risk Analyst jobs in California are:

What cities in California are hiring for Healthcare Risk Analyst jobs?

Cities in California with the most Healthcare Risk Analyst job openings:

Healthcare Risk Analyst jobs near you
Infographic showing various Healthcare Risk Analyst job openings in California as of September 2026, with employment types broken down into 77% Full Time, 7% Part Time, 5% Temporary, and 11% Contract. Highlights an 100% In-person job distribution.

Risk Analyst

San Jose, CA • On-site

TikTok
Arts, Entertainment, and Recreation • 1 - 5K employees
Learn more about TikTokexternal

Other

Posted 6 days ago

TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About the team

We are part of Global Monetization Product and Technology-Business Integrity-Governance. The Actor Strategy team focuses on securing the ad platform by tackling risks in the advertising ecosystem—such as fraud, impersonation, account takeover (ATO), over-spending, small bad debts, and spam registrations. We balance risk management with user experience to support TikTok Ads' healthy growth. The team continuously enhances its capabilities through platformization, intelligence, and automation, driving smart solutions powered by AI agents, machine learning models, and strategic rules.

Responsibilities
  • Interpret, analyze, and assess risks, emergency situations, and potential challenges. Develop and implement risk control operational plans while balancing business revenue objectives with effective risk control.
  • Explore, design, and iterate AI/Agent-assisted operational workflows, including automated risk signal discovery, evidence extraction, case triage, policy reasoning, anomaly monitoring, and strategy recommendation. Define evaluation criteria and feedback loops for AI-enabled governance solutions, including precision, recall, operational efficiency, and business impact.
  • Strategize, implement, and maintain risk program initiatives that adhere to organizational objectives. Take ownership of the project outcomes by setting clear targets, tracking progress, and holding the line to keep critical initiatives on track.
  • Collaborate with stakeholders across product, engineering, algorithms, and policy to improve existing systems and implement new solutions to reduce and mitigate risk.
Minimum Qualifications
  • Thrives in fast-paced, ambiguous environments and can lead cross-functional initiatives end-to-end.
  • Skilled at communicating and influencing across teams and regions; able to balance partner objectives with risk reduction to forge win-win outcomes.
  • Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, or a related quantitative field.
  • 1+ years of experience in either:
    • Risk management — Content, account, ads, fraud, advertiser integrity, or post-conversion risk, with strong risk sensitivity and rapid response; or
    • Strategy/management consulting — Proven ability to distill competing stakeholder needs into clear strategic priorities and actionable next steps.
Preferred Qualifications
  • Strong proficiency in data-driven analysis and statistical methods, with hands-on SQL and/or Python experience to diagnose problems, evaluate strategies, and inform decisions.
  • Practical experience with AI/LLM applications — including prompt engineering, AI-assisted analysis, workflow automation, agent-based tools, or human-in-the-loop review systems.
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