Senior Analytics Analyst - Healthcare Data

Surescripts

$123K — $150K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant quantitative field
  • 5+ years of experience in analytics roles, preferably in healthcare
  • Advanced SQL proficiency; strong Python/R skills
  • Strong visualization and storytelling abilities in Tableau/Looker
  • Experience with large datasets and sound validation practices
  • Ability to translate complex analytics into clear insights
  • Strong project management skills in dynamic environments

Responsibilities

  • Own end-to-end analytics deliverables, from problem scope to results presentation
  • Develop complex descriptive and diagnostic analyses, contributing to predictive efforts
  • Collaborate with product and engineering to formulate measurable questions
  • Create high-quality visualizations that communicate actionable business insights
  • Establish reusable analytic assets for team efficiency
  • Enhance analytic quality through code reviews and methodology transparency
  • Mentor junior analysts through structured support and feedback

Benefits

  • Comprehensive healthcare coverage including infertility support
  • Generous paid time off including parental leave and mental health days
  • Pet insurance
  • 401(k) plan with company matching and immediate vesting
  • Flexible Hybrid Work model to balance in-office and remote work
Full Job Description
Job Summary

The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives across Surescripts solutions. This role owns analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data. The Senior Analyst serves as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.

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.

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.

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