Job Description

Position: Data Analyst

Shift: M-F - Hybrid and remote 2 Days (Friday always remote, flex throughout the week)

Start Date: 1/26 approx

Openings: 1

Duration: Direct Placement

Locations: Camden, NJ 08103 (Hybrid – 3 days onsite, Friday remote)

Salary Range: $88K–$125K approx

Interview: 2 Round Virtual Interview - Follow up meeting set and resume review for interviews on 1/7 for first week of January!

Must Haves:

• MS Degree
• Power BI (visualizations, dashboard development)
• Data Engineering with Python & SQL
• OR BA/Stakeholder Management background (storytelling, gathering requirements, executive presence)

Nice to Have:

• Healthcare background (EHR/Epic data)
• App Dev experience (React or MS Power Apps)
• Scripting via Python or Power Automate

Day to Day:

• Project-oriented, self-managed
• Typically 3 projects at a time once ramped up
• Collaborative environment (walk-up culture)
• Focus: Dashboards, automated reports, some app development

Responsibilities:

• Develop interactive dashboards and reports using Power BI
• Perform data engineering tasks using SQL and Python
• Collaborate with stakeholders to gather requirements and translate business needs into analytics solutions
• Work independently on multiple projects while maintaining a collaborative team environment
• Support migration from Tableau/SSIS to MS Data Fabric and Lakehouse architecture (PySpark notebooks for transformations)

Job Description:

One of Insight Global's Healthcare clients is seeking a Data Analyst that will create and develop reports, data visualizations and analytical solutions that deliver actionable information to business leaders. You will primarily utilize the Power BI analytics and visualization platform to create, deploy, and maintain reusable analytical solutions, including semantic models, interactive visual dashboards, as well as other types of data products. You will analyze and troubleshoot user issues resulting from the use of analytical solutions developed. You will champion the process of redesigning dashboards that are manual today and deploying them for end users to access and use the information on demand.

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