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Surescripts, LLC

Analytics Analyst

United States

$95,300 to $116,500 USD / year

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Job details

Pay: $95,300 to $116,500 USD / year
Education: Bachelor’s degree
Posting language: English
Posted: Nov 9, 2026

Original job description

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.

Job Summary

The Analytics Analyst applies descriptive and prescriptive analytics to generate actionable insights from large-scale healthcare transaction data. As a member of a cross-functional group, this role partners with analytics teammates, product, engineering, and commercial stakeholders, participating in product discovery and helping deliver high-quality analyses, prototypes, dashboards, and storylines that inform product development and sales enablement. The Analyst is expected to be hands-on with data, curious, detail-oriented, and committed to reproducible, transparent work.

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/customer insights.
Translate business questions into analytic tasks (metrics definitions, cohorts, time windows, 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 (e.g., completeness, missingness, null values) to confirm they are fit for use and perform basic QA checks and spot-checks in your own work.
Assist in building minimum viable products (MVPs) from agreed-upon prototypes.
Partner with data engineering and product/engineering to understand data structures, validate data quality, and ensure analytic outputs are aligned to product needs.
Understand existing ETL processes and help review or modify them to make source data analytics ready.
Document assumptions, methodology, and code/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 (privacy, governance, appropriate aggregation/de-identification requirements), escalating questions when ambiguity arises.
Participate in team rituals (intake, scoping, reviews), incorporating feedback to improve accuracy, clarity, and usability of deliverables.

Qualifications

Basic Requirements:

Bachelor’s degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required.
2+ years of relevant analytics experience in healthcare, life sciences, payor/provider, PBM, or data-rich environments preferred. Internship and co-op experience welcomed.
Working proficiency in SQL.
Working proficiency in Python or R (Python preferred) for data cleaning, analysis, and automation.
Hands-on experience regularly creating data visualizations in at least one BI tool (e.g., Looker, Tableau, Sigma) and applying descriptive analytics techniques such as summary statistics and basic trending.
Ability to manage data carefully: joins, cohorting, data profiling (completeness, missingness, nulls), QA checks and spot-checks, versioning, and clear documentation.
Ability to explain results clearly, ask strong clarifying questions, and incorporate feedback.
Demonstrated ability to organize work, meet deadlines, and maintain high quality in a dynamic environment.
Comfort using AI tools to support everyday analytics work.

Preferred Qualifications

Master’s degree preferred.
Experience working with healthcare data, ideally at least one of the following: patient demographics, pharmacy fill data, pharmacy claims, medical claims, or prior authorization data.
Exposure to predictive analytics or modeling techniques.
Experience using AI tools in analytics work, such as using generative AI to quickly build data-driven prototypes.
Experience with prototyping or whiteboarding tools (e.g., Lucidchart, Miro, Figma, Balsamiq).
Familiarity with ETL (extract, transform, load) concepts, with willingness to run and help modify existing processes.
Experience drafting slides or data reports for customer or stakeholder audiences, including checking that the data presented is accurate.

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 $95,300 - $116,500 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.

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More about this job

Skills

Sales
Cleaning
Reporting
Customer insight
Data engineering
Data analysis
Presentation skills
Statistics
Computer science
SQL
Python
R
Looker
Tableau
Manage data
Documentation
Work in an organised manner
Meet deadlines
Lucidchart
Miro
Figma
Leadership
CPT

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