Data Analyst

Insight Global
Orlando, FL, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$70,000.0 - $90,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Data Analysis Data Retrieval Data Warehousing Database Queries Power BI Standard Sql SQL Databases Databricks

Job description

This role supports our client’s population health programs by helping the organization succeed in value-based care initiatives. Each day, the analyst pulls and analyzes data from systems like Epic, Databricks, SQL, Excel, and payer files to understand trends in cost, quality, and patient outcomes. They build Power BI dashboards, prepare reports, and support meetings with clinical, business, and IT teams. The analyst also monitors performance in ACOs and value-based contracts, identifies patterns to improve care and reduce costs, and ensures data quality.

Requirements

  • Bachelor’s degree
  • 2-3 years of experience of data warehouse experience
  • Strong SQL (writing queries, extracting data, etc) Need to be able to speak to SQL experience and projects they’ve utilized it in.
  • PowerBI & DataBricks experience
  • Healthcare background
  • EPIC experience
  • Ability to extract, clean, and analyze data from multiple systems and payer files
  • Experience building dashboards, reports, charts, and visual summaries for stakeholders
  • Strong communication skills

Plusses:

  • EDP or Payer knowledge

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Life insurance, * 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Vision insurance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · WWC Europe 2026

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · WWC 2025

1:56 min

Creating immutable blockchain tables using standard SQL syntax

Wei Hu Wei Hu · WWC 2023

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

Videos

See all

Related articles

See all