Healthcare Data Analyst (Early Career) — Power BI & Python

Gainwell Technologies; Town of Texas (WI); On-site; USD 45,000 - 64,000; Full time

Benefits offered by this job

Generous vacation policy

401(k)

Work flexibility

Job summary

Gainwell Technologies seeks an Early Career Business Analyst to help analyze data, build Power BI dashboards, and translate business needs into technical solutions. The role emphasizes data cleaning, modeling, automation, and collaboration across teams in a fully remote, US-based setup.

Ideal candidates have a relevant degree and experience with large datasets, Python, and SQL, with strong analytical and communication skills to drive data-driven decisions.

Qualifications

• Bachelor's degree in Analytics, CS, CIS, Math, or related field.
• Experience with large data sets for reporting and analytics.
• Translate business requirements into technical solutions and insights.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate across business and technical teams.

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.

Skills

Power BI

Data modeling

Python

SQL

GitHub

Copilot Studio

Dashboard development

Data visualization

Automation

Analytical thinking

Education

Bachelor's degree

Tools

GitHub

Copilot Studio

Job description

Gainwell Technologies seeks an Early Career Business Analyst to help analyze data, build Power BI dashboards, and translate business needs into technical solutions. The role emphasizes data cleaning, modeling, automation, and collaboration across teams in a fully remote, US-based setup.

Ideal candidates have a relevant degree and experience with large datasets, Python, and SQL, with strong analytical and communication skills to drive data-driven decisions.