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Sr. Data Analyst, Risk Adjustment

Job Summary

Under the supervision of the Director of Data and Reporting, this individual will be responsible for supporting critical data submission functions for the Risk Adjustment Department (RAD), including submissions to CMS and state agencies. The individual will handle internal data reconciliations and data transfers between Point32Health and external stakeholders such as vendors and provider organizations.

This role requires strong analytical skills and the ability to synthesize large data sets and complex information into key insights. The individual will work effectively across business areas and often lead collaborative projects. They will need to follow complex business processes, consider options when problems arise, and identify and escalate issues appropriately.

Key Responsibilities/Duties – what you will be doing

Data Submission Integrity

  • Support the director across a range of activities, including monthly encounter data submission to the Executive Offices of Health and Human Services (RI and MA), CMS and APCD (All-Payer Claims Database) submissions to state agencies.
  • Monitor ongoing encounter data/APCDs response files to identify and address discrepancies in a timely manner.
  • Review monthly error reports, perform trend analysis, investigate critical errors, and work with the appropriate business area on resolution.
  • Enhance and automate existing reconciliation and reporting code using advanced SAS and/or SQL skills.
  • Interface with IT for the implementation of enhancements and timely resolution of production issues pertaining to state government and risk adjustment data submissions, including issue investigation, business requirements, user acceptance testing, and post-implementation monitoring.

 

Reporting and Data Management

  • Use Tableau, Cognos, and Excel to create monthly submission dashboards and run submission reconciliations to effectively track acceptance rates and submission trends.
  • Create various reconciliations and ad hoc reports.
  • Use SAS to extract and transform data to create reports from multiple sources.
  • Assist Strategy and Operations team with the implementation of new program vendors, including data file transfers and reviews of internally received files for completeness, reasonableness, and accuracy.
  • Establish and manage data transfer methods with vendors, including working with IT to set up and manage secure file transfer sites for vendors that support our risk adjustment programs.

Collaboration with Internal/External Stakeholders

  • Collaborate effectively within risk adjustment department and other internal stakeholders, including Claims, Member Operations, Information Technology, and Provider Information, to ensure that process enhancements and submission mechanisms are maintained and monitored.
  • Collaborate with federal agencies, vendor data management staff, and industry trade associations to stay up to date with changes and updates from EOHHS and other state agencies.
  • Effectively communicate regulatory updates to the team and department leadership and escalate risks appropriately.

 

Data Analysis

  • Conduct ad hoc analyses specific to risk score trends, truncation report, data/claims submissions and program performance to support risk adjustment analytics; deliver timely and accurate information to contracted provider groups.
  • Create, compile, and format presentations for a variety of audiences, including supporting worksheets, graphics, and supplemental documents.

Administration

  • Attend meetings, document key decisions, manage follow up actions as necessary.
  • Serve as department point of contact for various internal and external initiatives, including interdepartmental projects across Point32Health business lines.
  • Create and manage business policies and procedures and knowledge repositories for the department as needed.

 

QUALIFICATIONS – what you need to perform the job

EDUCATION, CERTIFICATION AND LICENSURE:

  • Bachelor's degree required, preferably in related field such as health informatics, business analysis, IT, finance, decision modeling.

    EXPERIENCE (minimum years required) :

  • Three to five years of experience in analytical roles in the health care or health insurance sector either for a health plan, provider group, healthcare IT / management consultancy or auditing firm.
  • Understanding of claims systems, provider information, Medicaid/Medicare, and/or experience working with large data sets preferred.

 

  • Engaged, critical thinker, organized, detail-oriented, resourceful, and self-motivated.
  • Comfortable working with large data sets from disparate sources, and able to identify relevant patterns and trends.
  • Expertise in SAS Enterprise Guide/ SAS Base and SQL/ProcSQL (SAS certification preferred).
  • Experience with database software and reporting tools such as SQL Server, Oracle, and Cognos.
  • Experience with Alteryx, Cloudera and Tableau is a plus.
  • Proficient in Microsoft Excel, PowerPoint, and Word.
  • Strong interpersonal and communication skills.
  • Ability to work collaboratively with both internal and external resources.
  • Ability to take responsibility, prioritize tasks and follow through to completion.

 

WORKING CONDITIONS AND ADDITIONAL REQUIREMENTS (include special requirements, e.g., lifting, travel) :

  • Must be able to work under normal office conditions and work from home as required.
  • Work may require simultaneous use of a telephone/headset and PC/keyboard and sitting for extended durations.
  • May be required to work additional hours beyond standard work schedule.

Commitment to Diversity, Equity & Inclusion

Point32Health is committed to making diversity, equity, and inclusion part of everything we do—from product design to the workforce driving that innovation. Our DEI strategy is deeply connected to our core values and will evolve as the changing nature of work shifts. Programming, events, and an inclusion infrastructure play a role in how we spread cultural awareness, train people leaders on engaging with their teams and provide parameters on how to recruit and retain talented and dynamic talent. We welcome all applicants and qualified individuals, who will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Who We Are

Point32Health is a leading health and wellbeing organization, delivering an ever-better personalized health care experience to everyone in our communities. At Point32Health, we are building on the quality, nonprofit heritage of our founding organizations, Tufts Health Plan and Harvard Pilgrim Health Care, where we leverage our experience and expertise to help people find their version of healthier living through a broad range of health plans and tools that make navigating health and wellbeing easier.

We enjoy the important work we do every day in service to our members, partners, colleagues and communities.

Scam alert : Point32Health has recently become aware of job posting scams where unauthorized individuals posing as Point32Health recruiters have placed job advertisements and reached out to potential candidates. These advertisements or individuals may ask the applicant to make a payment. Point32Health would never ask an applicant to make a payment related to a job application or job offer, or to pay for workplace equipment. If you have any concerns about the legitimacy of a job posting or recruiting contact, you may contact TA_operations@point32health.org

This job has been posted by Ignyte AI on behalf of Point32Health. Ignyte AI is committed to the fundamental principle of equal opportunity and equal treatment for every prospective and current employee. It is the policy of Ignyte AI not to discriminate based on race, color, national or ethnic origin, ancestry, age, religion, creed, disability, sex and gender, sexual orientation, gender identity and/or expression, military or veteran status, or any other characteristic protected under applicable federal, state or local law.

Req ID: R8273

Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

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What You Should Know About Sr. Data Analyst, Risk Adjustment, Point32Health

Are you ready to dive into the exciting world of data as a Sr. Data Analyst, Risk Adjustment at Point32Health? Located in Plymouth County, MA, this role is perfect for someone who thrives on transforming complex data into actionable insights. Under the guidance of the Director of Data and Reporting, you'll play a pivotal part in ensuring the accuracy of our data submissions to CMS and various state agencies. Your strong analytical skills and love for problem-solving will come into play as you monitor, reconcile, and submit encounter data on a monthly basis while collaborating with multiple teams, including IT and Claims. Engaging with external stakeholders will be a significant aspect of your work, requiring exceptional communication abilities to relay important information and updates. Additionally, you'll be enhancing our reporting systems using your SAS and SQL expertise, thus automating processes and making an impact across the organization. With responsibilities that include conducting ad hoc analyses and creating informative reports using tools like Tableau and Cognos, this position offers a fulfilling opportunity in the health care sector for those who are detail-oriented and self-motivated. If you're looking to join a company that values diversity, equity, and inclusion while helping people find their version of healthier living, we invite you to be part of our mission at Point32Health!

Frequently Asked Questions (FAQs) for Sr. Data Analyst, Risk Adjustment Role at Point32Health
What are the key responsibilities of a Sr. Data Analyst, Risk Adjustment at Point32Health?

As a Sr. Data Analyst in Risk Adjustment at Point32Health, you'll manage critical data submissions to CMS and state agencies, monitor encounter data discrepancies, and enhance existing reporting systems. Your key duties include data reconciliations, trend analysis, and collaborating with various stakeholders to improve processes and outputs.

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What qualifications are required for the Sr. Data Analyst, Risk Adjustment position?

To qualify for the Sr. Data Analyst, Risk Adjustment role at Point32Health, candidates need a Bachelor's degree in a related field and three to five years of experience in analytical roles within health care or health insurance. Proficiency in SAS, SQL, and experience with data reporting tools are essential.

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What tools and technologies will I use as a Sr. Data Analyst, Risk Adjustment at Point32Health?

In this role, you'll work with tools like Tableau, Cognos, SAS, and SQL for data extraction and reporting. Your expertise in Excel and presentations will come into play as you create dashboards and reports that track submission trends and performance metrics.

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What is the working environment like for a Sr. Data Analyst, Risk Adjustment at Point32Health?

At Point32Health, Sr. Data Analysts in Risk Adjustment can expect a collaborative working environment. While you'll work primarily in an office setting, flexibility for remote work is available. You'll be part of a diverse team that values innovative thinking and continuous improvement.

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How does Point32Health support diversity and inclusion for employees in the Sr. Data Analyst, Risk Adjustment role?

Point32Health is deeply committed to diversity, equity, and inclusion. As a Sr. Data Analyst in Risk Adjustment, you'll contribute to an inclusive culture that values diverse perspectives and promotes equitable opportunities across all levels of the organization.

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Common Interview Questions for Sr. Data Analyst, Risk Adjustment
How do you manage discrepancies in data submissions?

Managing discrepancies involves thorough monitoring of response files, performing trend analysis, and promptly addressing any issues. Explain your systematic approach to identifying errors and collaborating with relevant teams for effective solutions.

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Can you describe your experience with SAS and SQL?

Discuss your proficiency levels with SAS and SQL, highlighting specific projects or tasks where you utilized these tools. Mention any certifications or relevant training that supports your expertise, focusing on how you've successfully implemented them to drive results.

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What strategies do you employ for effective collaboration with internal and external stakeholders?

Effectively collaborating requires clear communication and understanding stakeholders’ needs. Share a specific example of a project where teamwork was crucial, detailing how you kept everyone informed and worked toward a shared goal.

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How do you ensure data quality and integrity in your analyses?

Data quality can be ensured by adopting rigorous validation techniques, performing regular reconciliations, and using comprehensive error-checking. Provide an example of a time when your diligence led to improved data quality.

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Tell us about a time you automated an existing process for data reporting.

Automating reporting processes enhances efficiency. Describe the process you automated, the tools you used, such as SAS or SQL, and the impact it had on the team’s productivity and data accuracy.

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How do you stay updated with regulatory changes relevant to healthcare data?

Keeping yourself informed about industry changes is crucial. Mention resources you use, such as government websites or industry publications, and how you proactively communicate these changes to your team.

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Can you provide an example of an ad hoc analysis you've conducted?

Share a project where you conducted ad hoc analysis, outlining the objectives, the data sources used, how you approached the analysis, and what actionable insights you derived for decision-making.

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How would you handle tight deadlines for data submissions?

Discuss your time management techniques, such as prioritizing tasks and using project management tools. Provide an example where you successfully met a tight deadline and the strategies you implemented.

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What are your strengths as a data analyst in the healthcare industry?

Highlight specific strengths like analytical thinking, attention to detail, and strong communication skills, linking these abilities to past experiences where they have had a significant impact on your work or outcomes.

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Why do you want to work as a Sr. Data Analyst, Risk Adjustment at Point32Health?

Express your passion for healthcare data analysis and how Point32Health's mission aligns with your career goals. Mention values such as diversity and community service that resonate with you and why you feel optimistic about contributing to their initiatives.

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