Research Data Analyst II

Insight Global (United States); Orlando (FL); On-site; USD 70,000 - 100,000; Full time

Job summary

Insight Global is seeking a Research Data Analyst II to support a new Health Economics Outcomes Research (HEOR) program in Orlando. The role focuses on SQL-driven data extraction, dataset development, and collaboration with researchers, clinicians, and biostatisticians.

The analyst will translate study questions into technical data requirements, curate datasets from multiple healthcare sources, and support analyses with data ready for modeling. Occasional dashboard work may occur.

Qualifications

• Bachelor's degree required.
• 2+ years of data analytics experience in healthcare.
• Strong SQL proficiency with data extraction and curation.
• Experience communicating with non-technical and clinical stakeholders.

Responsibilities

• Translate research questions into technical data requirements.
• Write SQL queries and pull data from healthcare sources.
• Create, curate and validate datasets for research studies.
• Support retrospective and prospective data pulls for HEOR projects.
• Assist with Power BI/Tableau dashboards as needed.

Skills

SQL

Data Analytics

Stakeholder Communication

Healthcare Analytics

Education

Bachelor's Degree

Tools

Power BI

Tableau

Job description

Job Description

Job DescriptionThe Research Data Analyst II will support a new Health Economics Outcomes Research (HEOR) program focused on using healthcare data to better understand patient outcomes, healthcare utilization, and costs. This person will work across multiple research institutes and partner closely with researchers, clinicians, investigators, data scientists, and biostatisticians.This is a hands-on data analytics role with a heavy focus on SQL and healthcare data. The analyst will help translate research questions and study requirements into technical data requirements, pull and curate datasets from various healthcare data sources, and prepare those datasets for research and advanced analysis.The ideal candidate is someone who is technically strong in SQL but also understands the healthcare environment and can communicate confidently with non-technical and clinical stakeholders. This is not a traditional data engineering or dashboard-heavy BI role. The primary focus will be healthcare data extraction, dataset development, research support, and collaboration with the broader HEOR team.

DAY TO DAY

Support the new Health Economics Outcomes Research (HEOR) programWork with research stakeholders including investigators, clinicians, researchers, residents and fellowsMeet with stakeholders to understand research questions and data needsReview research protocols and inclusion/exclusion criteriaTranslate research/operational requests into technical data requirementsWrite SQL queries and pull data from various healthcare data sourcesCreate, curate and validate datasets for research studiesPerform retrospective data pulls and support prospective datasets as neededSupport research involving patient outcomes, healthcare utilization and costsPartner closely with the program’s data scientist and biostatistician, providing curated datasets for deeper statistical analysis/modelingComplete feasibility requests to help researchers determine whether sufficient patient populations/data exist for potential studiesWork on a mix of shorter ad hoc requests and potentially larger, longer-term research or grant-funded projectsSome Power BI/Tableau/dashboarding may come up, but dashboard development is not the primary focus of the role

Skills and Requirements

Must Haves

• Bachelor's Degree
• 2+ years of data analytics experience
• Healthcare/hospital analytics experience
• Strong SQL proficiency - needs to be hands‑on writing queries, pulling data, creating data extracts and curating datasets
• Stakeholder communication/presentation skills - experience gathering requirements and translating stakeholder/research needs into technical data requirements

Plusses

• PowerBI or Tableau
• Epic - Caboodle/Clarity
• Healthcare utilization/revenue cycle/financial data
• Research experience
• Health economics or outcomes research
• Python or other advanced analytics tools
• Broader hospital/health system analytics experience rather than claims‑only experience

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].