Senior Analytics Analyst - Healthcare Data

Senior Analytics Analyst - Healthcare Data

Surescripts

Washington, DC • Hybrid

$123.50K - $150.90K/yr

Other

Medical, Life, Retirement, PTO

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Job description

Senior Analytics Analyst - Healthcare Data

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions — from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

Responsibilities
  • Own end-to-end analytics deliverables: scope the problem, define success metrics, develop analytic plans, execute analyses/models, and present results with confidence.
  • Develop and deliver complex descriptive and diagnostic analyses; contribute to predictive/prescriptive efforts with appropriate methods selection and validation.
  • Partner closely with product and engineering to translate ambiguous needs into measurable questions, testable hypotheses, and scalable analytic outputs.
  • Produce high-quality visualizations and narratives that communicate "so what" implications and recommended actions for both technical and business audiences.
  • Establish and maintain reusable analytic assets (queries, datasets, templates, documentation) that improve team efficiency and consistency.
  • Raise the team's quality bar through code review participation, QA checklisting, and methodology transparency (limitations, sensitivity checks, assumptions).
  • Mentor colleagues and team members through coaching, feedback, and structured support on analytic approach and stakeholder communication.
  • Support client-facing work as needed (e.g., preparing exhibits, explaining methods)
Qualifications

Basic Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required.
  • 5+ years of experience in analytics roles, with demonstrated ownership of multi-stakeholder analyses; healthcare analytics experience strongly preferred.
  • Advanced SQL proficiency; strong Python/R capability for analysis and modeling.
  • Strong visualization and storytelling capability in Tableau/Looker (or equivalent).
  • Proven ability to work with large datasets and to implement sound validation and reproducibility practices.
  • Demonstrated success translating complex analytics into clear, actionable insights.
  • Strong project management habits: prioritization, expectation-setting, and consistent delivery in dynamic conditions.

Preferred Qualifications

  • Master's degree in a quantitative field preferred

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now

We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $123,500 - $150,900 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.




Frequently asked questions

Q: What skills or qualities help someone succeed as a Senior Data Analyst?

A: To succeed as a Senior Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical modeling techniques. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are essential for presenting insights to stakeholders, identifying business needs, and working with cross-functional teams. By combining these technical and soft skills, Senior Data Analysts can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities or specialized roles in data science.

Q: What is the career path for a Senior Data Analyst?

A: A Senior Data Analyst's typical career progression involves starting as a Data Analyst, progressing to a Senior Data Analyst, and eventually moving into leadership roles such as Data Manager or Business Intelligence Manager. Key opportunities for skill development include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and developing expertise in statistical modeling and machine learning. Long-term career prospects for Senior Data Analysts may include transitioning into data science roles, becoming a Director of Analytics, or pursuing careers in related fields like business consulting or product management.