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Senior Data Analyst (SAS)

Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.


Why This Role Is Important to Arcadia


The Senior Analyst will join the Analytics team of a high-growth Population Health and Analytics software company. This role will involve creation of high value analytics for Arcadia customers.


The ideal candidate loves working with data to derive insights and wants to make a difference. We are seeking individuals who rely on data analysis to make decisions and are passionate about improving the way healthcare is delivered to millions of patients across the country. You should be eager to share healthcare expertise to help Arcadia’s Analytics team build reoccurring analytics that fuel Arcadia’s Analytics Products. Experience processing data in SAS is strongly preferred.


What Success Looks Like

In 3 months

- Gain familiarity with Arcadias’s data and current analytics offerings

- Work with other analysts to produce member specific analytics


In 6 months

- Own delivery and quality of prescoped analytics for specific member engagements

- Show knowledge and expertise in several areas of healthcare (i.e risk, attribution, post acute, etc)


In 12 months

- Serve as an expert on Arcadias analytics capabilities

- Be able to scope and complete end to end custom member deliverables

- Begin to work on analytics that power Arcadia's suite of analytics products


What You'll Be Doing
  • Work closely with other analysts to utilize pre-built measures and data models to produce custom member analytics
  • Meet with members to scope and deliver custom request
  • Work with product to scale and productionalize code for repeatable, robust delivery


What You'll Bring
  • 3-6 years of experience in analytics (2+ in healthcare working on healthcare claims or EHR data)
  • Degree in Mathematics, Statistics, Computer Science, Public Health, or related fields  
  • Ability to program in SQL (required) and SAS (preferred)
  • Strong knowledge of statistical analysis: regression, predictive modeling, collaborative filtering, etc.


Would Love For You To Have
  • Experience with health care codes like ICD10, CPT, HCPCS, DRG etc 
  • Effective written and verbal communication skills 
  • Passion for working with large quantities of data and extracting meaningful insights from databases. 
  • Client-facing experience


What You'll Get
  • Analyze large and diverse data sets on Arcadia’s custom data model built by analysts for analysts
  • Create value add IP and quickly distribute it to wide array of Arcadia customers
  • Ideate with the best minds in healthcare through our advisory network
  • Support a wide variety of customers in the healthcare space – all focused on pulling healthcare tech into modernity
  • A collaborative team with decades of collective experience in population health, product development, and data science
  • A supportive and remote-work friendly company that provides frequent opportunities for fun and connection, as well as personal and professional development
  • Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
  • A flexible, remote friendly company with personality and heart
  • Employee driven programs and initiatives for personal and professional development
  • Great benefits like flextime time off
  • Be a member of the Arcadian and Barkadian Community
  • Competitive compensation and amazing benefits including FTO (~22 day company average)


About Arcadia

Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.


Protect Yourself

If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.


This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

What You Should Know About Senior Data Analyst (SAS), Arcadia

Join Arcadia as a Senior Data Analyst (SAS) and become a vital part of our mission to revolutionize healthcare. At Arcadia, we’re passionate about transforming diverse data into actionable insights that enhance patient care and drive success in the industry. As a Senior Data Analyst, you’ll collaborate with our dynamic Analytics team, creating high-value analytics tailored for our customers. Your work will empower healthcare providers to improve services for millions of patients across the country. We’re looking for candidates who thrive on data analysis and are excited about making a difference in healthcare. With at least 3-6 years of experience in analytics—and preferably 2+ years in healthcare—you should be adept at programming in SQL and have a strong preference for SAS skills. Your role will involve delivering quality analytics and contributing to building recurring insights that elevate Arcadia’s analytics products. At the 3-month mark, you’ll familiarize yourself with our data and analytics offerings, progressing to owning member-specific delivery by the 6-month milestone. You’ll even become an expert on our analytics capabilities within a year. Plus, working with diverse datasets on our custom data model, you’ll leverage your statistical analysis skills, such as predictive modeling, to provide meaningful insights to our clients. Arcadia offers an environment that prioritizes professional development, remote work flexibility, and a culture that blends professionalism with personality. If you’re eager to support clients in the healthcare space and drive transformation in patient care, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Senior Data Analyst (SAS) Role at Arcadia
What are the responsibilities of a Senior Data Analyst (SAS) at Arcadia?

As a Senior Data Analyst (SAS) at Arcadia, you'll engage in creating high-value analytics for our healthcare customers. This involves collaborating with fellow analysts to utilize existing data models, scoping and delivering custom member analytics, and ensuring the quality of your analyses. You'll also support the production of repeatable analytics products, contributing significantly to how healthcare insights are delivered at patient touchpoints.

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What qualifications are needed for the Senior Data Analyst (SAS) position at Arcadia?

To qualify for the Senior Data Analyst (SAS) role at Arcadia, you should have between 3-6 years of analytics experience, with at least 2 years specific to healthcare environments. A degree in Mathematics, Statistics, Computer Science, Public Health, or similar fields is required. Proficiency in SQL, alongside a strong preference for SAS programming experience, along with a solid understanding of statistical analysis techniques, is crucial.

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What skills can enhance my application for the Senior Data Analyst (SAS) role at Arcadia?

Key skills that can boost your application for the Senior Data Analyst (SAS) position at Arcadia include expertise in healthcare codes such as ICD10 and CPT, effective communication abilities, and a passion for data analysis. Previous client-facing experience and knowledge of statistical analysis methods, such as regression and predictive modeling, will also make you a strong candidate.

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How does Arcadia support the professional development of its Senior Data Analysts?

Arcadia is committed to the professional growth of its Senior Data Analysts by offering a collaborative environment and various employee-driven programs for personal and professional development. The company fosters participation in advisory networks, facilitates access to continuous learning opportunities, and maintains a culture that encourages idea-sharing among talented professionals in healthcare analytics.

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What does success look like as a Senior Data Analyst (SAS) at Arcadia?

Success as a Senior Data Analyst (SAS) at Arcadia entails mastering the company's data offerings within the first three months, taking full ownership of member-specific analytics within six months, and becoming a recognized expert on Arcadia's analytics capabilities by the twelfth month. Ultimately, your contributions will help shape how healthcare data is utilized to drive better patient outcomes.

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Common Interview Questions for Senior Data Analyst (SAS)
What techniques do you use for data analysis as a Senior Data Analyst?

In your role as a Senior Data Analyst, focus on not just your techniques—such as regression analysis and predictive modeling—but also your approach to incorporating client needs into your data analysis. Be prepared to discuss specific projects where you utilized SAS and SQL to deliver impactful insights.

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Can you describe a challenging data problem you solved using SAS?

When answering this question, detail the nature of the problem, your analytical approach, and the tools used, particularly emphasizing your proficiency with SAS and how your solution benefited the stakeholders involved.

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How do you prioritize and manage multiple analytical projects?

Share a systematic method to prioritize projects based on their impact on healthcare outcomes. Discuss how effective communication with clients helps set appropriate timelines and deliverables, ultimately leading to the successful completion of multiple projects.

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What is your experience with healthcare data sets?

Illustrate your expertise by discussing specific types of healthcare datasets you have worked with, such as EHR or claims data. Include examples of how you extracted insights and made recommendations based on your analysis in a healthcare context.

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How do you ensure quality in your data analysis?

Detail your approach to maintaining quality by regularly validating your datasets, following up with data sources for integrity, and continuously refining your analysis methodologies to align with industry standards.

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Describe a time when your data analysis led to a significant business decision.

Provide a specific instance where your analysis directly influenced a decision-making process, focusing on the data insights you presented, the recommendations made, and the final outcomes for the organization.

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How do you handle disagreements with colleagues about data interpretations?

Demonstrate your collaborative spirit by explaining how you actively engage in constructive discussions, supporting your data interpretations with evidence while being open to others' perspectives, ultimately striving for the best outcomes.

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What tools do you use for statistical analysis, and why?

Discuss your preferred tools for statistical analysis, like SAS and SQL, emphasizing how they've aided in processing data efficiently and producing accurate insights, while being adaptable to new technologies as required.

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How do you communicate complex analyses to non-technical stakeholders?

Illustrate your strategy to bridge the gap between technical data analysis and business strategy by using clear, non-technical language and visual aids to ensure comprehension among non-technical stakeholders.

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What motivates you to work in data analytics in the healthcare sector?

Answer this question by expressing your passion for leveraging data to improve patient care and outcomes. Reflect on what you find rewarding about translating data analysis into actionable insights that can drive meaningful change in healthcare.

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Full-time, remote
DATE POSTED
March 4, 2025

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