Python Developer

Summary

About Gainwell:

Gainwell Technologies is the leading provider of technology solutions that are vital to the administration and operations of health and human services programs. We are a new company (divested from DXC Technologies) with over 50+ years of proven experience, a reputation for service excellence and unparalleled industry expertise with approximately $1+ billion dollars of revenue, ~8,000+ employees who support clients across 41 U.S. states and territories with offerings including Medicaid Management Information Systems (MMIS), fiscal agent services, program integrity, care management, immunization registry and eligibility services. We offer our clients scalable and flexible solutions for their most complex challenges.

These capabilities make our company a trusted partner for organizations seeking reliability, innovation and transformational outcomes. About 49M Medicaid beneficiaries are being supported. 1.3B immunization records are maintained by engaging 3.0 M providers. Our commitment to clients, drives continuous improvement in the quality of healthcare for beneficiaries nationwide through vital healthcare technology.

For more information about us, please visit

Your role in our mission

Essential Job Functions

Collect, process, and analyze large data sets using Python, with a focus on Pandas and NumPy.

Develop and maintain data models, reports, and dashboards to support business decision-making.

Perform data cleaning, transformation, and validation to ensure data quality and integrity.

Identify trends, patterns, and insights from data and communicate findings to stakeholders.

Collaborate with other teams to understand their data needs and provide analytical support.

Automate repetitive data tasks and processes to improve efficiency.

Stay up to date with the latest developments in data analytics, tools, and techniques.

What we're looking for

Qualifications

Candidate should have 9-13 years of experience in Python.

Proven experience as a Data Analyst or in a similar role.

Strong proficiency in Python, specifically with Pandas and NumPy libraries.

Experience with data visualization tools such as Matplotlib, Seaborn, or similar.

Familiarity with SQL and database management systems.

Excellent analytical and problem-solving skills.

Strong attention to detail and accuracy in work.

Good communication and presentation skills to convey complex data insights to non-technical stakeholders.

What you should expect in this role

Collect, process, and analyze large data sets using Python, with a focus on Pandas and NumPy.

Develop and maintain data models, reports, and dashboards to support business decision-making.

Perform data cleaning, transformation, and validation to ensure data quality and integrity.

Identify trends, patterns, and insights from data and communicate findings to stakeholders.

Collaborate with other teams to understand their data needs and provide analytical support.

Automate repetitive data tasks and processes to improve efficiency.

Stay up to date with the latest developments in data analytics, tools, and techniques.