JR-226353 Data Business Analyst Lead

Hello, our name is Customertimes, but you can call us CT. We are a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1000+ experts working across 65+ countries.

About this job:

We are looking for a Data Business Analyst (1 seat, Middle to Senior level) for our client, one of the largest specialty provider networks in the US and part of a major healthcare company. The network includes independent and affiliated practices in urology, gastroenterology, rheumatology, and oncology. The goal is to turn practice EHR data (joined with pathology and genomic reports, medical claims, and disease registries at the patient level) into real-world data products that pharma and biotech companies license and build on.

The Data Business Analyst owns the definitions and the specs. They take what pharma customers, sales, and the business ask for and turn it into specs the data team can build, starting with prostate and bladder cancer. They check the data before a spec goes out.

• Start: As soon as possible;
• Length: 6-month initial term, expected to extend well past that;
• Hours: Full-time, US Eastern business hours;
• Work format: Remote, with onshore preferred and nearshore accepted if fully aligned with US Eastern hours. Occasional US office visits required; frequency yet to be determined;
• Team mix: The seat can be supported by, or blended with, nearshore or offshore staff;
• Data platform: Databricks (Delta Lake, medallion architecture) on Azure, alongside a large SQL Server estate with legacy stored procedures.

Location: Canada, Brazil, Argentina, Mexico, Uruguay, Peru, Colombia, Costa Rica

How you'll make an impact:

• Own the product definition and Concept of Operations for each data product;
• Take long, messy field lists from sales, customers, and the business and turn them into ranked, buildable specs;
• Own one set of definitions every group uses: what counts as a patient, a stage, a line of therapy, and a refresh;
• Work the data before writing a spec: profile the source, check fill rates, and confirm what the records support;
• Sit with the architect, engineers, and clinical reviewers to settle how each field gets built and checked;
• Write the acceptance criteria and sign off that what was built matches what was asked.

What makes you a great fit:

• Experience writing specs for a clinical data product that was built without rework;
• Knowledge of clinical fields: stage, biomarkers, lines of therapy, and outcomes;
• Understanding of what pharma researchers and commercial teams need from each field;
• Hands-on experience with data: SQL, source-to-target mapping, and data models;
• Experience as the single owner of definitions across business, product, and data groups.

You are a star if you have:

• Experience working at a real-world data company such as Flatiron Health, ConcertAI, or Tempus, or at a provider network or health system that sells its data;
• Oncology or urology data experience, including pathology and genomic reports;
• Experience with EHR, claims, and registry data, and the OMOP common data model;
• Experience writing specs for fields that AI pulls from clinical notes, including when a person reviews them;
• Experience writing a product definition or Concept of Operations for a data product sold to pharma;
• Knowledge of the coding systems ICD-10, CPT, NDC, and LOINC;
• Experience building or using data readiness scorecards: fill rates, coverage, and what changed between refreshes;
• Experience working in Databricks with SQL, and using work tools such as Jira or Confluence.

If you're looking to contribute to global projects, grow your skills, shape the way you work, and be part of a connected international community — Customertimes is the place to build your next career chapter. Are you ready to spark the tech with us?

Job ID: JR-226353