Data Analyst
Optum/UHG · Hyderabad, Telangana, India · US
Clinical Data Science
–
Pharmacist
Demand82
Career growth76
Healthcare fit58
Remote potential60
5-year outlook
Experienced healthcare data analysts with strong SQL, Python, cloud, and BI skills should remain in demand, with growth potential toward data engineering, analytics leadership, or healthcare data science. Clinicians without a technical analytics track record may need substantial upskilling before being competitive.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
–
Date found
2026-10-23
Intelligence details
Flexible work details
- Eligible countries
- United States
- Profession fit
- Pharmacist
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you already have strong SQL, Python, Power BI/Tableau, and cloud/data pipeline experience plus some healthcare data exposure. It is not a realistic first non-clinical role for most clinicians without prior analytics work.
Who should apply
Clinicians with prior data analytics, informatics, health-tech, or claims/provider data experience; pharmacists, nurses, doctors, or allied health professionals who have completed substantial SQL/Python/BI upskilling and can show healthcare data projects.
CV angle
Frame real clinical and healthcare experience around data fluency, quality improvement, operational metrics, stakeholder collaboration, and healthcare domain knowledge. Highlight any SQL, Python, Power BI/Tableau, ETL, automation, claims/provider data, dashboarding, or statistical analysis projects without overstating technical experience.
Skills to highlight
- SQL and relational databases
- Python for data analysis and automation
- Power BI or Tableau dashboard development
- ETL and data pipeline concepts
- Databricks and Azure cloud data platforms
- Healthcare claims, provider, or clinical metrics data
- Statistical analysis and data profiling
- Stakeholder communication and data governance
Role summary
A mid-level healthcare data analyst role at Optum/UHG focused on building ETL pipelines, automating analytics workflows, developing Power BI/Tableau dashboards, and analyzing provider, claims, and healthcare data using SQL, Python, Databricks, and Azure.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.