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Decision Scientist

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Role Description:

The Data Analyst will be responsible for creating ad hoc analyses and reports that interpret and analyze data trends for all teams at Oak Street Health.  This role will handle all data requests and provide data reports to assist in programmatic decisions.  The data analyst will also assist in determining future analyses and metrics and the development of meaningful performance indicators.  The scope of this role will focus on medical economics and finance related data requests and analysis along with special projects.

Core Responsibilities:

  • Identify, analyze, and interpret trends or patterns in complex data sets

  • Prepares and disseminates analysis reports, and presentations to various audiences both internal and external

  • Collaborates with internal program staff around all evaluation and analysis activities

  • Handles all data requests and special analyses for internal and external partners

  • Assists in developing actionable metrics to quantify the impact of programming 

  • Establishes relationships with internal and external partners to obtain and validate quality data

  • Assists in creating uniform business rules that will be used in all ad-hoc analyses

  • Other duties as assigned. 


What are we looking for?
 

We're looking for a motivated data analyst with:

  • Undergraduate degree, preferably in Computer Science, Business or Analytics

  • 2 or more years of relevant work experience

  • Proficient in writing SQL queries and stored procedures on large data sets with complex data models

  • Advanced Microsoft Excel skills (PowerPivot, functions, VBA)

  • Data management experience; knowledgeable in database rules, writing queries, and relational database creation and management (create, query, relate)

  • An analytical mind and inclination for problem-solving

  • Ability to manage deadlines and deliverables and communicate them to business owners

  • Ability to communicate clearly to stakeholders

  • Business process understanding

  • US work authorization

  • Someone who embodies being "Oaky"


 

What does being "Oaky" look like?

  • Radiating positive energy

  • Assuming good intentions

  • Creating an unmatched patient experience

  • Driving clinical excellence

  • Taking ownership and delivering results

  • Being relentlessly determined

Why Oak Street Health?

Oak Street Health is on a mission to "Rebuild healthcare as it should be'', providing personalized primary care for older adults on Medicare, with the goal of keeping patients healthy and living life to the fullest. Our innovative care model is centered right in our patient's communities, and focused on the quality of care over volume of services. We're an organization on the move! With over 150 locations and an ambitious growth trajectory, Oak Street Health is attracting and cultivating team members who embody "Oaky" values and passion for our mission.

Oak Street Health Benefits: 

  • Mission-focused career impacting change and measurably improving health outcomes for medicare patients

  • Paid vacation, sick time, and investment/retirement 401K match options

  • Health insurance, vision, and dental benefits

  • Opportunities for leadership development and continuing education stipends

  • New centers and flexible work environments

  • Opportunities for high levels of responsibility and rapid advancement

 

Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply. 

Learn more at www.oakstreethealth.com/diversity-equity-and-inclusion-at-oak-street-health

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

  • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 09/30/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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Average salary estimate

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$64890K
$173040K

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What You Should Know About Decision Scientist, CVS Health

Are you ready to dive into the exciting world of data as a Decision Scientist at Treehouse? We believe in the incredible potential of data to drive meaningful decisions, and we're looking for a passionate individual to join our team. As a Decision Scientist, you'll play a crucial role in transforming raw data into actionable insights that will directly affect our strategic initiatives. You'll leverage advanced analytical skills to identify trends, patterns, and opportunities that can help us improve our operations and enhance user satisfaction. Collaboration will be key, as you'll work alongside various teams, providing support with data analysis and interpretation to ensure we make informed choices. Your keen eye for detail will help in crafting comprehensive reports and presentations that communicate findings effectively. If you're someone who thrives in a dynamic environment and loves tackling complex data challenges, Treehouse is the place for you. We value an analytical mindset, strong problem-solving abilities, and a willingness to learn. Come be a part of our mission to revolutionize how we make decisions through the power of data!

Frequently Asked Questions (FAQs) for Decision Scientist Role at CVS Health
What are the core responsibilities of the Decision Scientist at Treehouse?

As a Decision Scientist at Treehouse, your primary responsibilities will include analyzing complex datasets to extract valuable insights, preparing detailed reports and presentations for various audiences, and collaborating closely with internal teams to support their data needs. You'll also be tasked with creating actionable metrics to measure the effectiveness of our programs and ensuring that we utilize data-driven strategies in decision-making.

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What qualifications are needed for the Decision Scientist position at Treehouse?

To qualify for the Decision Scientist role at Treehouse, candidates should typically hold an undergraduate degree in fields such as Computer Science, Business, or Analytics. Relevant work experience of at least two years is preferred, along with proficiency in SQL for handling large datasets, advanced Excel skills, and a thorough understanding of data management techniques.

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What tools and technologies will a Decision Scientist at Treehouse use?

In the Decision Scientist role at Treehouse, you will frequently use SQL for database querying, Microsoft Excel for data management and analysis, and various data visualization tools to present your findings effectively. Familiarity with programming languages or platforms that support data analysis is also beneficial.

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How does Treehouse foster a positive work environment for Decision Scientists?

Treehouse places a strong emphasis on a culture of collaboration and support, especially for Decision Scientists. We believe in empowering our employees through professional development opportunities, promoting work-life balance, and providing a flexible work environment. Additionally, we encourage open communication and the sharing of ideas, making it a great place for data professionals to thrive.

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What does career progression look like for a Decision Scientist at Treehouse?

At Treehouse, career progression for a Decision Scientist can be very promising. Starting in this role allows you to build a strong foundation in data analytics and decision-making. With performance-driven evaluations, you have opportunities for advancement into senior analytical roles or into specialized areas such as data strategy, project management, or team leadership as you grow and develop your skills.

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Common Interview Questions for Decision Scientist
Can you describe a project where you used data analysis to drive a decision?

In your response, focus on a specific project where your data analysis had a tangible impact. Outline the problem you were trying to solve, the data sources you utilized, the methods you applied, and the outcome. Highlight your analytical thinking and the decision-making process influenced by your findings.

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What statistical methods are you familiar with for analyzing data?

Discuss statistical methods you have used, such as regression analysis, hypothesis testing, or A/B testing. Provide examples of situations where these methods proved beneficial in your previous roles, emphasizing how they assisted in making data-driven decisions.

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How do you ensure the quality of your data before analysis?

Be sure to mention steps like data cleaning, validation checks, and how you check for inconsistencies. Highlight the importance of data quality in driving accurate insights and how this process directly impacts decision-making.

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What information do you typically include in your reports?

Explain that your reports usually detail the analysis process, findings, visualizations, actionable insights, and recommendations based on the data analyzed. Emphasize the importance of tailoring reports to the audience for comprehension and decision-making.

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How do you handle tight deadlines on analytical projects?

Share your strategies for effectively managing time and prioritizing tasks. Mention any tools you use for project management and how clear communication with your team helps in meeting deadlines without compromising data quality.

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Can you give an example of a challenge you faced with data analysis and how you overcame it?

Discuss a specific challenge, whether it was related to data integrity, technical issues, or stakeholder communication. Describe the steps you took to resolve the issue and what you learned from the experience.

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What tools do you prefer for visualizing data?

Mention tools like Tableau, Power BI, or even Excel. Discuss a couple of examples where data visualization aided in understanding insights and facilitated decision-making in previous projects.

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How do you communicate complex data findings to non-technical stakeholders?

Emphasize the importance of storytelling with data, using simple language, and employing visual aids like graphs or charts to illustrate key points. Discuss the balance of technical accuracy while ensuring that the message is clear to all audiences.

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What motivates you as a Decision Scientist?

Talk about your passion for extracting insights from data and the satisfaction you feel when those insights lead to meaningful changes in decision-making. Mention any specific areas in data analysis that excite you and how they align with your values and career goals.

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Why do you want to work at Treehouse as a Decision Scientist?

In your answer, reflect on Treehouse’s mission, values, and company culture. Explain how these resonate with your own personal and professional aspirations as well as your desire to contribute positively to the organization.

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We help people with their health wherever and whenever they need us. And we do it with heart. Because our passion is our purpose: Bringing our heart to every moment of your health™.

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Full-time, on-site
DATE POSTED
April 9, 2025

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