Risk Data Analyst Jobs
Risk Data Analyst jobs are open across financial services, insurance, healthcare, and technology, from entry-level to senior and lead roles, with specializations in credit risk, market risk, and operational risk modeling. Find a role that fits from the openings below and apply directly.
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The Risk Adjustment Strategic Analytics team is seeking a Data Reporting and Analytics Consultant to support scoping and conducting complex analytics, apply storytelling fundamentals to analyses, and help present research findings that generate actionable insights and support strategic decision-making. Ideal candidates bring strong analytical and problem-solving skills, curiosity, and a willingness to learn. Exposure to Risk Adjustment (MA, ACA, or Medicaid), data visualization, and working knowledge of Azure Synapse SQL, Power BI, Excel, and PowerPoint are preferred, along with an interest in translating data into clear business insights within a dynamic healthcare environment. Familiarity with Databricks, Python, GitHub, Jira, or statistical modeling is a bonus but not required.
Job Summary:
This individual contributor is primarily responsible for assisting senior employees in supporting data-informed decisions, assisting with data and information gathering for targeted variables in an established systematic fashion, and supporting data preparation for analytic efforts. This position assists with the execution of creative data analytic approaches leading to actionable outcomes, assists with the development, implementation, and automation of business and reporting solutions, and assists with data analysis interpretation.
Essential Responsibilities:
- Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
- Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
- Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
- Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables.
- Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
- Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
- Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
- Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.
Knowledge, Skills and Abilities: (Core)
- Ambiguity/Uncertainty Management
- Attention to Detail
- Business Knowledge
- Communication
- Critical Thinking
- Cross-Group Collaboration
- Decision Making
- Dependability
- Diversity, Equity, and Inclusion Support
- Drives Results
- Facilitation Skills
- Health Care Industry
- Influencing Others
- Integrity
- Learning Agility
- Organizational Savvy
- Problem Solving
- Short- and Long-term Learning & Recall
- Teamwork
- Topic-Specific Communication
Knowledge, Skills and Abilities: (Functional)
- Data Mining
- Data Visualization Tools
- Statistical Programming Language
- Written Communication
Minimum Qualifications:
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.
Preferred Qualifications:
- One (1) year experience working with Access.
- One (1) year data simulation experience.
PrimaryLocation : California,Oakland,Ordway
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri
WorkingHoursStart : 08:00 AM
WorkingHoursEnd : 05:00 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-PO-01|NUE|Non Union Employee
Job Level : Individual Contributor
Job Category : Data Analytics
Department : Po/Ho Corp - Risk Adj Reporting Analytics - 0308
Travel : Yes, 5 % of the Time
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.
The Risk Adjustment Strategic Analytics team is seeking a Data Reporting and Analytics Consultant to support scoping and conducting complex analytics, apply storytelling fundamentals to analyses, and help present research findings that generate actionable insights and support strategic decision-making. Ideal candidates bring strong analytical and problem-solving skills, curiosity, and a willingness to learn. Exposure to Risk Adjustment (MA, ACA, or Medicaid), data visualization, and working knowledge of Azure Synapse SQL, Power BI, Excel, and PowerPoint are preferred, along with an interest in translating data into clear business insights within a dynamic healthcare environment. Familiarity with Databricks, Python, GitHub, Jira, or statistical modeling is a bonus but not required.
Job Summary:
This individual contributor is primarily responsible for assisting senior employees in supporting data-informed decisions, assisting with data and information gathering for targeted variables in an established systematic fashion, and supporting data preparation for analytic efforts. This position assists with the execution of creative data analytic approaches leading to actionable outcomes, assists with the development, implementation, and automation of business and reporting solutions, and assists with data analysis interpretation.
Essential Responsibilities:
- Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
- Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
- Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
- Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables.
- Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
- Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
- Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
- Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.
Knowledge, Skills and Abilities: (Core)
- Ambiguity/Uncertainty Management
- Attention to Detail
- Business Knowledge
- Communication
- Critical Thinking
- Cross-Group Collaboration
- Decision Making
- Dependability
- Diversity, Equity, and Inclusion Support
- Drives Results
- Facilitation Skills
- Health Care Industry
- Influencing Others
- Integrity
- Learning Agility
- Organizational Savvy
- Problem Solving
- Short- and Long-term Learning & Recall
- Teamwork
- Topic-Specific Communication
Knowledge, Skills and Abilities: (Functional)
- Data Mining
- Data Visualization Tools
- Statistical Programming Language
- Written Communication
Minimum Qualifications:
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.
Preferred Qualifications:
- One (1) year experience working with Access.
- One (1) year data simulation experience.
PrimaryLocation : California,Oakland,Ordway
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri
WorkingHoursStart : 08:00 AM
WorkingHoursEnd : 05:00 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-PO-01|NUE|Non Union Employee
Job Level : Individual Contributor
Job Category : Data Analytics
Department : Po/Ho Corp - Risk Adj Reporting Analytics - 0308
Travel : Yes, 5 % of the Time
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.
Risk Data Analyst Jobs by Experience Level
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Find Risk Data Analyst JobsRisk Data Analyst Job Market
Who's Hiring
- Capital One27
- Information Technology Senior Management Forum21
- JPMorganChase6
- Truist5
- Deloitte4
Top Industries Hiring
- Banking & Financial Services
- Technology & Software
- Healthcare & Medical Services
- Investment & Asset Management
- Insurance
What Employers Look For
The qualifications that appear most often in risk data analyst jobs.
- Bachelor's degree in statistics, mathematics, finance, economics, or a related quantitative field
- Proficiency in SQL for querying large financial or operational datasets
- Experience with Python or R for statistical modeling and data analysis
- Familiarity with risk frameworks such as credit risk, market risk, or operational risk
- Knowledge of regulatory requirements including Basel III, CCAR, CECL, or DFAST
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Tips for Your Risk Data Analyst Job Search
Quantify your risk models on your resume
Listing tools like SQL, Python, or SAS means nothing without context. Show the scale of the datasets you worked with and the business outcome your models drove, such as reducing false positives in a fraud detection pipeline or improving loss forecasting accuracy.
Match your resume to the risk domain
Credit risk, market risk, and operational risk roles each use different frameworks and vocabulary. Tailor your resume language to the specific domain in each job posting so your application doesn't read like a generic data analyst submission that missed the risk context entirely.
Target listings by regulatory keyword
Many risk data analyst postings require familiarity with Basel III, CCAR, CECL, or DFAST. If you have that exposure, call it out explicitly in your resume and cover letter, because recruiters and ATS systems filter on those regulatory terms before a human ever reads your application.
Apply early to roles that fit
Migrate Mate lists risk data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a technical walkthrough for interviews
Risk data analyst interviews often include a case where you explain a model you built, the assumptions behind it, and how you validated it. Practice narrating that story out loud so you can walk through your methodology clearly without relying on slides or code in front of you.
Negotiate using the scope of risk coverage
When discussing compensation, frame your value around the dollar volume of risk exposure your models inform, not just your years of experience. Analysts who can articulate the financial stakes their work manages tend to anchor negotiations at a stronger starting point.
Risk Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most risk data analysts?
The companies hiring the most risk data analysts right now include Capital One, Information Technology Senior Management Forum, and JPMorganChase, with the largest share of openings in Virginia, New York, and California, based on current listings on Migrate Mate as of November 2026. Financial services firms and large insurers consistently post the highest volume of risk data analyst roles nationwide.
How many risk data analyst jobs are remote?
About 83% of risk data analyst openings are fully remote or hybrid as of November 2026, making it a moderately flexible field compared to other data roles. Positions focused on model validation, reporting automation, and regulatory analytics tend to offer the most remote flexibility, while roles tied to trading desks or on-site risk operations are more likely to require in-office presence.
How do you become a risk data analyst?
Start with a quantitative degree in statistics, finance, mathematics, or economics, then build hands-on skills in SQL and Python through coursework or personal projects using publicly available financial datasets. Pursue an internship or entry-level analyst role in banking, insurance, or fintech to gain domain-specific exposure. Professional certifications in risk management, such as the Financial Risk Manager credential, strengthen your profile for more specialized roles.
Can you get a risk data analyst job with little experience?
Yes, entry-level risk data analyst roles exist, particularly at regional banks, insurance companies, and fintech startups that need analysts to build out reporting and monitoring functions. Demonstrating proficiency in SQL and Python through a portfolio project that models a financial risk scenario, such as a credit scorecard or a fraud detection classifier, can substitute for direct work experience when applying for junior positions.
What does the risk data analyst interview process look like?
Most risk data analyst interview processes include a recruiter screen, a technical assessment covering SQL queries and statistical reasoning, and a final round with the hiring manager and a risk team lead. The technical round often includes a case study where you interpret a dataset and explain what risk signal it reveals. Some firms add a regulatory knowledge component, particularly if the role supports compliance or stress testing functions.
Where can I find and apply to risk data analyst jobs?
You can find and apply to risk data analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience level and specialization, then apply directly to each position that fits. No detours, no intermediary steps.
See All 157+ Risk Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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