Python Pandas Remote Jobs in Phoenix, AZ (NOW HIRING)

Vālenz® Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.
 

• Analyze medical and pharmacy claims to develop and maintain data products that support pricing, quality, and compliance tools.
• Apply advanced models and queries to resolve data issues, support client inquiries, and improve internal analytics tools and workflows.
• Use tools such as SQL, Python, Spark, and Databricks to transform complex datasets into actionable insights and clear recommendations.
• Own the development, production, validation, secure delivery, and ongoing support of outbound pharmacy data extracts for multiple vendors through SFTP and other approved data exchange methods.
• Partner with Data Engineering, Web Development, and other Analytics teams to design, deploy, and sustain complex code and workflows.
• Collaborate with different departments to investigate and resolve ad hoc cases, addressing client-specific inquiries and internal requests with accurate, data-driven responses.
• Follow production-level code release processes while driving the improvement and evolution of departmental workflows, analytics tools, and documentation.
• Continuously monitor data quality and performance, identifying trends, anomalies, and opportunities for improvement.
• Demonstrate initiative by independently managing complex tasks while contributing to a collaborative, team-oriented environment.
• Support broader strategic initiatives by delivering high-quality analysis that informs decision-making and advances organizational goals.
• Perform other duties as assigned.

• Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Finance, Economics, or another quantitative field, or an equivalent combination of education and relevant experience.
• 7+ years of experience in data analysis, including at least 3 years working with healthcare claims data and complex, incomplete datasets.
• Strong analytical, problem-solving, and critical thinking skills with the ability to identify trends, investigate root causes, and develop data-driven solutions.
• Exceptional attention to detail with a strong focus on data accuracy, validation, and quality assurance.
• Highly organized, self-motivated, and able to manage multiple priorities independently while collaborating effectively across teams.

• Advanced SQL skills with experience querying, transforming, validating, and optimizing large, complex datasets.
• Strong Python programming skills, including experience with data analysis libraries such as Pandas and PySpark, as well as workflow automation.
• Experience working with healthcare medical and pharmacy claims data, including coding standards such as HCPCS, ICD-10, and NDC, along with associated reference datasets.
• Proficiency in Microsoft Excel for data validation, reporting, and ad hoc analysis.
• Hands-on experience with distributed data processing platforms such as Databricks and Spark, along with cloud-based data environments including Azure, Microsoft Fabric, or Snowflake.
• Experience creating, validating, automating, and monitoring outbound data extracts for vendors, including securely transferring files via SFTP or other approved secure file transfer methods.

• Master’s degree
• Cloud platforms (AWS, Azure, GCP)
• Data visualization tools (Power BI, Tableau, etc.)
• Version control (Git) and CI/CD

• Work Environment: You’ll need a quiet workspace that is free from distractions.
• Technology: Reliable internet connection—if you can use streaming services, you’re good to go!
• Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software.
• Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA.

Why You'll Love Working Here

Valenz is proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare. With this commitment, you’ll find an engaged culture – one that stands strong, vigorous, and healthy in all we do.

Benefits

• Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
• Spending account options: HSA, FSA, and DCFSA
• 401K with company match and immediate vesting
• Flexible working environment
• Generous Paid Time Off to include vacation, sick leave, and paid holidays
• Employee Assistance Program that includes professional counseling, referrals, and additional services
• Paid maternity and paternity leave
• Pet insurance
• Employee discounts on phone plans, car rentals and computers
• Community giveback opportunities, including paid time off for philanthropic endeavors

At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

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