What are the responsibilities and job description for the Data Analyst position at Insight Global?
REMOTE in Minnesota!
Pay Rate: $55-$65, conversion125K-140K salary
Duration: 6-month contract-to-hire
Must Haves:
- 3 years of experience as a Data Analyst on the health insurance/payer side, integrating and analyzing complex data sources
- Payer domain expertise- Understands how the claims data is used on the backend to inform what data is needed
- Expertise in SQL to figure out what data to pull & how
- Data visualization experience (Power BI or Tableau)
- Strong communication and stakeholder partnership skills- Ability to work directly with business partners and explain data clearly, to tell stories with data/communicate findings to both technical and non-technical audiences
Plusses:
- Domain expertise in pharmacy claims data, supporting areas such as:
- Formulary Analytics
- Medication Adherence
- MTM/Medication Therapy Management
- PBM/Pharmacy Benefit Management Data
- Rebate & Drug Cost Analytics
- Utilization Management
- CMS/Medicare Regulatory Reporting
- Pharmacy Trend Reporting
OR payer domain experience with interoperability/FHIR
- Familiarity with Python
- Exposure to Azure Databricks/the cloud
- Data visualization experience (Power BI or Tableau)
- Agile/scrum experience (including tools like JIRA)
- Experience in migration from on prem to the cloud
- Relevant certifications (Azure Databricks, Python, Cloud, etc)
Insight Global is hiring Data Analysts to support multiple Product Teams at a large non-profit payer/provider. Responsibilities include analyzing claims data, developing reporting and dashboards, gathering requirements from business partners, performing data validation and quality checks, and delivering actionable insights. The top 5 day-to-day responsibilities are to:
- Analyze claims data to identify trends, risks, opportunities, and operational insights.
- Partner with business users and product teams to gather requirements, understand user stories, and translate business needs into data solutions.
- Create reports, dashboards, and visualizations using tools such as Power BI to support decision-making.
- Use SQL and Python to extract, integrate, validate, and interpret data from multiple systems and sources.
- Support data quality, testing, validation, and documentation efforts while working closely with analysts, engineers, product owners, and business stakeholders.
Compensation:
$55 - $65 per hour
Exact compensation may vary based on several factors, including skills, experience, and education.
Salary : $55 - $65