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Surescripts

Secure health data exchange for prescriptions

Analytics Analyst

Data AnalysisPosted on Nov 9
Full-timeUnited States$95.3k - $116.5k /yr

About the Job

Requirements

  • A bachelor's degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or a related field is required.
  • Working proficiency in SQL is required.
  • Working proficiency in Python or R for data cleaning, analysis, and automation is required; Python is preferred.
  • Hands-on experience regularly creating data visualizations in at least one business intelligence tool, such as Looker, Tableau, or Sigma, and applying descriptive analytics techniques such as summary statistics and basic trending is required.
  • Ability to manage data carefully, including joins, cohorting, data profiling for completeness, missingness, and nulls, quality assurance checks and spot-checks, versioning, and clear documentation is required.
  • Ability to explain results clearly, ask clarifying questions, and incorporate feedback is required.
  • Ability to organize work, meet deadlines, and maintain high quality in a dynamic environment is required.
  • Comfort using artificial intelligence tools to support everyday analytics work is required.

Responsibilities

  • Execute analytics workstreams under guidance, including data extraction, cleaning, feature creation, exploratory analysis, and results validation.
  • Build and maintain recurring reporting and dashboards that communicate key trends, performance signals, and product and customer insights.
  • Translate business questions into analytic tasks, including metric definitions, cohorts, time windows, and segmentation, with support from senior teammates.
  • Attend and participate in product discovery for new products, supporting senior teammates and stakeholders as requirements take shape.
  • Explore available data sets and document their contents; build basic charts and prototypes so stakeholders can confirm what they need before development begins.
  • Profile new data sources for completeness, missingness, and null values to confirm they are fit for use; perform basic quality assurance checks and spot-checks in the analyst's own work.
  • Assist in building minimum viable products from agreed-upon prototypes.
  • Partner with data engineering and product and engineering teams to understand data structures, validate data quality, and ensure analytic outputs align with product needs.
  • Understand existing extract, transform, and load processes and help review or modify them to make source data analytics-ready.
  • Document assumptions, methodology, and code or queries to support reproducibility and auditability of insights.
  • Contribute to internal and customer-facing presentations and data reports by producing clear visuals, concise narratives, and well-labeled outputs tailored to technical and non-technical audiences, and ensure the data presented is accurate.
  • Uphold rigorous standards in data handling, including privacy, governance, and appropriate aggregation and de-identification requirements, and escalate questions when ambiguity arises.
  • Participate in team rituals, including intake, scoping, and reviews, incorporating feedback to improve the accuracy, clarity, and usability of deliverables.
  • Attend meetings in and out of the office, travel, communicate effectively orally and in writing, and use computers and other electronic and standard office equipment, with or without reasonable accommodation.
  • Use judgment, withstand moderate amounts of stress, and maintain attention to detail, with or without reasonable accommodation.

Desired Qualifications

  • At least 2 years of relevant analytics experience in healthcare, life sciences, payor or provider environments, pharmacy benefit management, or other data-rich environments is preferred; internship and co-op experience is welcomed.
  • A master's degree is preferred.
  • Experience working with healthcare data, ideally patient demographics, pharmacy fill data, pharmacy claims, medical claims, or prior authorization data, is preferred.
  • Exposure to predictive analytics or modeling techniques is preferred.
  • Experience using artificial intelligence tools in analytics work, such as generative AI to quickly build data-driven prototypes, is preferred.
  • Experience with prototyping or whiteboarding tools, such as Lucidchart, Miro, Figma, or Balsamiq, is preferred.
  • Familiarity with extract, transform, and load concepts, with willingness to run and help modify existing processes, is preferred.
  • Experience drafting slides or data reports for customer or stakeholder audiences, including checking that the data presented is accurate, is preferred.

About the Company

Surescripts

Secure health data exchange for prescriptions

Surescripts runs a nationwide health information network that connects payers, prescribers, pharmacies, and other healthcare organizations to securely exchange prescription data and related clinical information. The platform automates and standardizes the electronic transmission of prescriptions and supports at-the-point-care services such as Real-Time Prescription Benefit, Medication History, and Electronic Prior Authorization, handling billions of exchanges among providers. It stands out because its network spans nearly all EHR vendors, PBMs, pharmacies, and health plans, and is owned by pharmacy associations and major PBMs, ensuring broad interoperability and adherence to industry standards like NCPDP SCRIPT. The goal is to improve patient safety, reduce costs, and raise the quality of care by making prescription information fast, accurate, and available at the point of care.

Company size
501-1,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Arlington County, VA
Founded
2001

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