Early Career Business Analyst

About the Role

As an Early Career Business Analyst at Gainwell, you will harness the power of technology to help clients improve the health and well-being of the members they serve. You will analyze, clean, and model data to support business decisions and reporting, develop and maintain Power BI dashboards, reports, and visualizations, and use coding and automation to improve data processes.

Key Responsibilities

• Analyze, clean, and model data to support business decisions and reporting.
• Develop and maintain Power BI dashboards, reports, and visualizations.
• Use coding and automation to improve data processes and operational efficiency.
• Support tax coding and data classification activities.
• Work with business and technical teams to translate requirements into data-driven solutions.
• Utilize tools such as Power BI, GitHub, Copilot Studio, SQL, and Python to analyze and manage data.
• Validate solutions through testing and quality assurance activities.
• Communicate insights and recommendations to stakeholders.

Requirements & Tech Stack

• Power BI dashboard development and data visualization
• Coding and automation experience
• Data cleaning, transformation, and data modeling
• Analytical problem-solving
• Python and SQL (preferred)
• GitHub and Microsoft Copilot Studio experience
• Experience working with large data sets to support reporting, analytics, and business decision-making.
• Ability to translate business requirements into technical solutions and actionable insights.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively across business and technical teams.
• Attention to detail with a commitment to data quality and accuracy.
• Experience with Python and SQL for data extraction, transformation, analysis, and automation.
• Experience building advanced Power BI data models, DAX calculations, and interactive dashboards.
• Familiarity with software development lifecycle (SDLC) methodologies and agile environments.
• Experience working with health and human services, government programs, or highly regulated industries.

Qualifications

• Bachelor's degree in Analytics, Computer Science, Computer Information Systems, Mathematics, Statistics, or a related field.

What You Should Expect In This Role

• Fully remote options from continental US locations only.
• Video cameras must be used during all interviews, as well as during the initial week of orientation.
• The deadline to submit applications for this posting has been extended until a suitable candidate has been selected.
• Pay range: $44,500.00 - $63,500.00 per year.