Remote Data Science Analyst Jobs
Remote Data Science Analyst jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, finance, healthcare, and retail analytics. Employers posting remote roles right now include Liberty Mutual Insurance, ZS Associates, and PrizePicks. Find a role that fits below and apply directly.
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INTRODUCTION
Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.
At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:
- Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
- Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
- Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
- Onsite: daily onsite requirement based on the essential functions of the job
- Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building
Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.
This remote work opportunity requires residency, and work to be performed, within the State of Arizona.
PURPOSE:
- Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions.
QUALIFICATIONS
REQUIRED QUALIFICATIONS
Required Work Experience
- 1 year of experience in data analysis using analytic tools and processes (Level 1)
- 3 years of experience in data analysis using analytic tools and processes (Level 2)
- 3 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3)
- 5 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4)
Required Education
- Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels)
Required Licenses
- N/A
Required Certifications
- N/A
PREFERRED QUALIFICATIONS
Preferred Work Experience
- 1 year of experience in data analysis working for a healthcare organization/health insurer (Level 1)
- 3 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Level 2)
- 5 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Levels 3, 4)
Preferred Education
- Master’s Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels)
Preferred Licenses
- N/A
Preferred Certifications
- N/A
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES
Level 1
- Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation
- Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions
- Identify, analyze, interpret and validate healthcare data metrics, trends and patterns
- Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
- Model financial impact analyses for a variety of business initiatives
- Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
- Act as liaison to both internal business partners and external providers or vendors
- Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.
- Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making.
- Complete projects within preset timelines and report status to supervisor and project manager.
- Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity.
- Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors).
Level 2
- Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas
- Perform complex analyses and interpret complex calculations to recommend actions and solutions
- Develop financial models needed to accomplish analytic goals
- Serve as subject matter expert for internal stakeholders
- Design and deliver self-service business intelligence tools to internal customers
- Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager.
- Effectively communicate results and recommendations to internal and external customers.
- Provide self- and peer-review of job responsibilities
- Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts.
- Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager.
Level 3
- Create and research analyses and recommendations which help achieve corporate initiatives and goals
- Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications
- Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling
- Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns.
- Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review.
- Train and mentor other analysts.
Level 4
- Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues.
- Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources.
- Review results post-implementation to ensure projections are realized and recommend modifications as applicable.
- Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction.
- Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services.
ALL LEVELS
- Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
- The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
- Perform all other duties as assigned.
COMPETENCIES
REQUIRED COMPETENCIES
Required Job Skills (Applies to All Levels)
- Intermediate PC proficiency
- Intermediate proficiency in database, presentation, spreadsheet and word processing software
- General proficiency in mathematical concepts
- Intermediate proficiency in computer programming, including SAS and other business intelligence programs
- Intermediate understanding of data management principles
- Advanced skills in mathematics and statistics (Applies to Levels 2 – 4)
- Intermediate skill with SAS/SQL programming (Applies to Levels 2 – 4)
- Advanced understanding of data management principles (Level 3-4)
- Proficiency in SAS Enterprise Business Intelligence software (Level 3-4)
- Intermediate skill with data visualization tools, such as Tableau (Level 3-4)
Required Professional Competencies (Applies to All Levels)
- General knowledge of the healthcare industry
- Broad understanding of health insurance terms and concepts
- Analytical knowledge necessary to generate analytic solutions
- Ability to solve problems independently and draw accurate conclusions from data using basic analytic techniques
- Ability to deal with ambiguity and make recommendations with less than complete or conflicting information
- Skill in prioritizing tasks and working with multiple priorities, sometimes under limited time constraints
- Ability to maintain confidentiality and privacy
- Ability to communicate effectively, both orally and in writing, to all levels in all departments
- Ability to distill and communicate financial levers and impacts to non-technical audiences
- Ability to build and maintain productive working relationships with others
- Proactive about requesting enough information to fully understand and meet the business need.
Required Leadership Experience and Competencies (Applies to All Levels)
- N/A
PREFERRED COMPETENCIES
Preferred Job Skills (Applies to All Levels)
- Advanced proficiency in spreadsheet, database and word processing software
- Intermediate proficiency with data warehouses and query tools/design
- Intermediate skill with data visualization tools, such as Tableau
- Intermediate proficiency with development, testing, and management of Tableau Dashboards
- Intermediate understanding of data management principles
- Advanced skill in database, spreadsheet, business intelligence, statistical, and data cubing software
- Familiarity with provider network design processes and strategies
- Knowledge of health benefit design and rating techniques
- Advanced skills in mathematics and statistics
- Proficiency in SAS Enterprise Business Intelligence software
- Advanced understanding of data management principles
Preferred Professional Competencies (Applies to All Levels)
- Project management skill needed to create timelines, track deliverables and progress, resolve issues, and communicate project status
Preferred Leadership Experience and Competencies (Applies to All Levels)
- Ability to engage and collaborate with team members and business stakeholders at all levels of the organization
- Ability to make decisions in a timely manner, sometimes with incomplete information and under tight deadlines
- High standard of performance while pursuing aggressive goals
- Principled leadership and sound business ethics
Our Commitment
AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.
Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.
INTRODUCTION
Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.
At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:
- Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
- Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
- Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
- Onsite: daily onsite requirement based on the essential functions of the job
- Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building
Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.
This remote work opportunity requires residency, and work to be performed, within the State of Arizona.
PURPOSE:
- Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions.
QUALIFICATIONS
REQUIRED QUALIFICATIONS
Required Work Experience
- 1 year of experience in data analysis using analytic tools and processes (Level 1)
- 3 years of experience in data analysis using analytic tools and processes (Level 2)
- 3 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3)
- 5 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4)
Required Education
- Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels)
Required Licenses
- N/A
Required Certifications
- N/A
PREFERRED QUALIFICATIONS
Preferred Work Experience
- 1 year of experience in data analysis working for a healthcare organization/health insurer (Level 1)
- 3 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Level 2)
- 5 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Levels 3, 4)
Preferred Education
- Master’s Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels)
Preferred Licenses
- N/A
Preferred Certifications
- N/A
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES
Level 1
- Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation
- Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions
- Identify, analyze, interpret and validate healthcare data metrics, trends and patterns
- Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
- Model financial impact analyses for a variety of business initiatives
- Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
- Act as liaison to both internal business partners and external providers or vendors
- Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.
- Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making.
- Complete projects within preset timelines and report status to supervisor and project manager.
- Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity.
- Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors).
Level 2
- Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas
- Perform complex analyses and interpret complex calculations to recommend actions and solutions
- Develop financial models needed to accomplish analytic goals
- Serve as subject matter expert for internal stakeholders
- Design and deliver self-service business intelligence tools to internal customers
- Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager.
- Effectively communicate results and recommendations to internal and external customers.
- Provide self- and peer-review of job responsibilities
- Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts.
- Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager.
Level 3
- Create and research analyses and recommendations which help achieve corporate initiatives and goals
- Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications
- Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling
- Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns.
- Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review.
- Train and mentor other analysts.
Level 4
- Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues.
- Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources.
- Review results post-implementation to ensure projections are realized and recommend modifications as applicable.
- Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction.
- Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services.
ALL LEVELS
- Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
- The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
- Perform all other duties as assigned.
COMPETENCIES
REQUIRED COMPETENCIES
Required Job Skills (Applies to All Levels)
- Intermediate PC proficiency
- Intermediate proficiency in database, presentation, spreadsheet and word processing software
- General proficiency in mathematical concepts
- Intermediate proficiency in computer programming, including SAS and other business intelligence programs
- Intermediate understanding of data management principles
- Advanced skills in mathematics and statistics (Applies to Levels 2 – 4)
- Intermediate skill with SAS/SQL programming (Applies to Levels 2 – 4)
- Advanced understanding of data management principles (Level 3-4)
- Proficiency in SAS Enterprise Business Intelligence software (Level 3-4)
- Intermediate skill with data visualization tools, such as Tableau (Level 3-4)
Required Professional Competencies (Applies to All Levels)
- General knowledge of the healthcare industry
- Broad understanding of health insurance terms and concepts
- Analytical knowledge necessary to generate analytic solutions
- Ability to solve problems independently and draw accurate conclusions from data using basic analytic techniques
- Ability to deal with ambiguity and make recommendations with less than complete or conflicting information
- Skill in prioritizing tasks and working with multiple priorities, sometimes under limited time constraints
- Ability to maintain confidentiality and privacy
- Ability to communicate effectively, both orally and in writing, to all levels in all departments
- Ability to distill and communicate financial levers and impacts to non-technical audiences
- Ability to build and maintain productive working relationships with others
- Proactive about requesting enough information to fully understand and meet the business need.
Required Leadership Experience and Competencies (Applies to All Levels)
- N/A
PREFERRED COMPETENCIES
Preferred Job Skills (Applies to All Levels)
- Advanced proficiency in spreadsheet, database and word processing software
- Intermediate proficiency with data warehouses and query tools/design
- Intermediate skill with data visualization tools, such as Tableau
- Intermediate proficiency with development, testing, and management of Tableau Dashboards
- Intermediate understanding of data management principles
- Advanced skill in database, spreadsheet, business intelligence, statistical, and data cubing software
- Familiarity with provider network design processes and strategies
- Knowledge of health benefit design and rating techniques
- Advanced skills in mathematics and statistics
- Proficiency in SAS Enterprise Business Intelligence software
- Advanced understanding of data management principles
Preferred Professional Competencies (Applies to All Levels)
- Project management skill needed to create timelines, track deliverables and progress, resolve issues, and communicate project status
Preferred Leadership Experience and Competencies (Applies to All Levels)
- Ability to engage and collaborate with team members and business stakeholders at all levels of the organization
- Ability to make decisions in a timely manner, sometimes with incomplete information and under tight deadlines
- High standard of performance while pursuing aggressive goals
- Principled leadership and sound business ethics
Our Commitment
AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.
Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.
See All 64 Remote Data Science Analyst Jobs
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Find JobsRemote Data Science Analyst Job Market
Who's Hiring
- Liberty Mutual Insurance14
- ZS Associates5
- PrizePicks4
- Netflix2
- Turquoise2
Top Industries Hiring
- Insurance16
- Technology & Software9
- Consulting & Professional Services7
- Retail3
- Banking & Financial Services3
What Employers Look For
The qualifications that appear most often in remote data science analyst jobs.
- Proficiency in Python or R for data analysis and statistical modeling
- Strong SQL skills for querying and manipulating large relational datasets
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in statistics, computer science, mathematics, or a related field
- Familiarity with machine learning libraries such as scikit-learn or TensorFlow
- Experience communicating analytical findings clearly to non-technical stakeholders
Tips for Your Remote Data Science Analyst Job Search
Build a portfolio that proves async delivery
Remote employers want evidence you can take a vague question and return a clear, documented analysis without back-and-forth. Publish end-to-end projects on GitHub with a written narrative explaining your methodology and findings, not just code.
Signal remote readiness in every application
Remote hiring managers scan for clues that you've worked independently before. Call out async tools you've used, such as Notion, Confluence, or Jira, and mention any distributed team experience in your cover letter or work history, even from freelance or volunteer projects.
Apply early to remote roles that fit
Migrate Mate lists remote data science analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without bouncing between multiple sites.
Sharpen written communication for remote interviews
Remote data science analyst interviews often include a take-home case or async video screen before any live call. Practice writing up your analytical findings as short, executive-style summaries, because your written clarity is part of what remote teams are hiring for.
Ask the right questions about remote data infrastructure
In remote interviews, asking how the data team shares findings, which cloud platforms they use, and how stakeholders submit analytics requests shows you understand distributed data workflows and signals you'll integrate without friction from day one.
Remote Data Science Analyst Jobs: Frequently Asked Questions
How do I get a remote data science analyst job?
Remote data science analyst roles go to candidates who can demonstrate independent execution and clear written communication, because you won't have a manager walking the floor. Remote employers screen heavily for proficiency in Python or R, SQL, and data visualization tools like Tableau or Power BI. A portfolio of end-to-end projects, even from personal or open-source work, shows you can move from raw data to insight without hand-holding.
Which companies hire remote data science analysts?
Remote data science analyst roles are posted by Liberty Mutual Insurance, ZS Associates, and PrizePicks and others right now, based on current remote listings on Migrate Mate as of June 2026. The hiring mix includes remote-first technology firms, distributed fintech and healthtech companies, and enterprise retailers with centralized analytics teams that operate across time zones.
Can you get a remote data science analyst job with no experience?
Yes, but remote entry-level roles are harder to land than in-office equivalents because you're expected to manage your own workflow from day one. Remote-first startups and smaller analytics consultancies are the most open to entry-level candidates. A portfolio of self-directed projects, a Kaggle competition record, or a published notebook demonstrating real analysis gives hiring managers something concrete to evaluate in the absence of prior job titles.
Do you need a degree for remote data science analyst jobs?
Not always. Many remote employers care more about what you can do with data than where you studied. A degree in statistics, computer science, or a quantitative field is common among hired candidates, but remote hiring managers frequently weigh demonstrated skills, a strong project portfolio, and fluency with tools like Python, SQL, and cloud data platforms as heavily as formal credentials.
Which industries hire the most remote data science analysts?
Remote data science analyst roles concentrate in Insurance, Technology & Software, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. Those sectors favor remote data science analysts because their data infrastructure is cloud-hosted and their analytics teams are built to collaborate asynchronously across distributed locations.
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Find roles that match your experience and apply in just a few clicks.
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