
Healthcare Analytics Advisor
Claritev · United States
- Hybrid
- Full-time
- $75,000 / year
- United States
Job highlights
- Analyze healthcare data for trends and insights.
- Utilize SQL, Python, and Excel for analysis.
- Translate complex findings for non-technical audiences.
- Develop actionable recommendations for business decisions.
- Work independently on analytical projects.
About the role
About Claritev
At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential. Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!Job Summary
The Healthcare Analytics Advisor is responsible for analyzing complex data sets, identifying trends, and transforming analytical findings into clear, meaningful insights for internal business partners. This role is primarily not client-facing, but it requires the ability to break down complex information in a way that is easy for non-technical audiences to understand. This position requires strong Excel skills, advanced SQL and Python capabilities, and the ability to turn data into a clear story with actionable recommendations. The ideal candidate is a self-learner who can work through ambiguity, ask the right questions, solve problems creatively, and independently build high-quality analytical outputs with minimal structure. This role is best suited for a hands-on analyst who enjoys digging into data, identifying opportunities, and presenting thoughtful recommendations. It is not intended for candidates focused primarily on IT, ETL development, back-end data loading, or production engineering.DUTIES
- Analyze complex data sets to identify trends, patterns, risks, and opportunities.
- Use Excel, SQL, Python, and reporting tools to conduct analysis and generate insights.
- Translate complex data findings into clear, understandable stories for non-technical internal audiences.
- Develop reports, analyses, and recommendations that support business decision-making.
- Independently scope and execute assigned work by identifying key questions, determining approach, and delivering results with minimal oversight.
- Work through roadblocks by researching solutions, asking thoughtful questions, and applying creative problem-solving skills.
- Review analytical outputs for accuracy, consistency, and quality before sharing results.
- Collaborate with internal teams to understand business needs and deliver meaningful analytical support.
- Maintain compliance with HIPAA regulations and data security standards.
- Demonstrate commitment to company values and high standards of service.
Please note due to the exposure of PHI sensitive data, this role is considered to be a High Risk Role. The position responsibilities outlined above are not all encompassing. Additional duties may be assigned as needed.
Compensation
The salary range for this position is $70,000 - $75,000. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.Requirements
- Minimum Bachelor’s degree in Statistics, Mathematics, Data Science, Analytics, Public Health, Business, Healthcare Administration, or a related field; or equivalent experience.
- Minimum 2 years of experience in analytics, data analysis, business analysis, consulting, or a related field.
- Advanced SQL and Python (Pandas, Streamlit) skills required.
- Strong Excel skills required.
- Strong analytical skills with the ability to break down complex data sets and communicate findings to non-technical audiences.
- Ability to turn data into a clear story and provide actionable recommendations.
- Demonstrated ability to work independently, take ownership of tasks, and deliver high-quality outputs with minimal guidance.
- Ability to identify key questions, structure ambiguous problems, and execute solutions effectively.
- Strong attention to detail and commitment to accuracy, with a quality assurance mindset.
- Creative problem-solving skills and ability to work through roadblocks.
- Ability to manage multiple priorities in a fast-paced environment.
- Healthcare experience with billing practices, code sets, and/or revenue cycle management is preferred but not required.
- This is not an IT, ETL, back-end data loading, or production engineering role.
- May require occasional travel.
Benefits
We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities. Your Benefits Will Include- Medical, dental and vision coverage with low deductible & copay
- Life insurance
- Short and long-term disability
- Paid Parental Leave
- 401(k) + match
- Employee Stock Purchase Plan
- Generous Paid Time Off - accrued based on years of service
- WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
- 10 paid company holidays
- Tuition reimbursement
- Flexible Spending Account
- Employee Assistance Program
- Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits
EEO STATEMENT
Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.Key skills/competency
Healthcare Analytics Advisor, Data Analysis, SQL, Python, Excel, Data Storytelling, Business Intelligence, Healthcare Data, Problem Solving, Analytical Skills.Skills & topics
- Healthcare Analytics Advisor
- Data Analysis
- SQL
- Python
- Excel
- Data Storytelling
- Business Intelligence
- Healthcare Data
- Problem Solving
- Analytics
- Data Science
- Public Health
- Business Analysis
- Consulting
- Pandas
- Streamlit
- HIPAA
- Revenue Cycle Management
How to get hired
- Tailor your resume: Highlight your advanced SQL, Python, and Excel skills, focusing on data analysis and interpretation for non-technical audiences.
- Showcase analytical storytelling: Provide examples of how you've transformed complex data into clear, actionable recommendations.
- Emphasize problem-solving: Detail instances where you worked through ambiguity and delivered high-quality analytical outputs independently.
- Research Claritev's mission: Align your application with their goal to 'bend the cost curve in healthcare' and their core values.
Technical preparation
Master advanced SQL for complex queries.,Become proficient in Python (Pandas, Streamlit).,Develop advanced Excel modeling and analysis skills.,Practice translating data into non-technical narratives.
Behavioral questions
Describe a time you worked through ambiguity.,How do you approach problem-solving independently?,Give an example of presenting complex data simply.,How do you ensure accuracy in your analysis?
Frequently asked questions
- What specific Python libraries are most important for the Healthcare Analytics Advisor role at Claritev?
- For the Healthcare Analytics Advisor position at Claritev, advanced skills in Python are essential, particularly with libraries like Pandas for data manipulation and Streamlit for building interactive applications. Demonstrating proficiency in these will be key to your success.
- How does Claritev approach data privacy and HIPAA compliance for the Healthcare Analytics Advisor role?
- Claritev emphasizes strict adherence to HIPAA regulations and data security standards. Due to the sensitive nature of Protected Health Information (PHI) that this role may access, it is designated as a High Risk Role, requiring a strong commitment to data privacy.
- What level of experience is expected for the Healthcare Analytics Advisor position at Claritev?
- Claritev requires a minimum of 2 years of experience in analytics, data analysis, business analysis, consulting, or a related field. A Bachelor's degree in a relevant field such as Statistics, Data Science, or Healthcare Administration is also preferred, or equivalent practical experience.
- Can candidates with strong Excel skills but less advanced Python/SQL apply for the Healthcare Analytics Advisor role?
- While strong Excel skills are required, the Healthcare Analytics Advisor role specifically demands advanced SQL and Python capabilities. Candidates should possess these advanced skills to be considered a strong fit for the analytical demands of this position.
- What are the typical career advancement opportunities for a Healthcare Analytics Advisor at Claritev?
- Claritev offers a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities. They are committed to employee growth and fostering internal talent.
- Is the Healthcare Analytics Advisor role at Claritev client-facing or internal-facing?
- This Healthcare Analytics Advisor role is primarily internal-facing, focusing on analyzing complex data sets and transforming findings into insights for internal business partners. While not client-facing, the ability to communicate complex information clearly to non-technical audiences is crucial.
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