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Sr. Healthcare Data Analyst
Sr. Healthcare Data AnalystValenz • Phoenix, AZ, US
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Sr. Healthcare Data Analyst

Sr. Healthcare Data Analyst

Valenz • Phoenix, AZ, US
16 hours ago
Job type
  • Full-time
Job description

Valenz 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.

About This Opportunity

As a Senior Analyst, you'll work with medical and pharmacy claims to build and maintain data products that support member healthcare navigation, employer compliance, and pharmacy savings initiatives. You'll resolve data issues, respond to client inquiries, and use tools like SQL and Python to enhance analytics workflows and internal reporting. Your work will deliver accurate, actionable insights that improve decision-making, streamline operations, and drive value across the organization in a fast-paced, collaborative environment.

Things You'll Do Here

  • 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.
  • 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.

What You'll Bring to the Team

  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics) or equivalent professional experience.
  • Minimum of five (5) years of data analysis experience, with at least three (3) years focused on healthcare claims, including work with complex and incomplete datasets.
  • Strong analytical, problem-solving, and critical-thinking skills with proven ability to uncover root causes.
  • Exceptional attention to detail with a commitment to accuracy, data validation, and quality assurance.
  • Highly organized and self-motivated, with the ability to manage multiple priorities independently while collaborating effectively with others.
  • SQL : Proficiency in querying, transforming, and validating large, complex datasets.
  • Python : Strong programming skills, including experience with data analysis and manipulation libraries (e.g., Pandas, PySpark) and automation of workflows.
  • Knowledge of medical and pharmacy claims data, including coding standards (HCPCS, ICD-10, NDC) and reference datasets.
  • Proficiency using Excel for validation, reporting, and quick analysis.
  • A Plus If You Have

  • Master's degree.
  • Experience in pharmacy claims.
  • Spark & Databricks : Hands-on experience with large-scale data processing and distributed computing frameworks.
  • Cloud platforms (AWS, Azure, GCP).
  • Data visualization tools (Power BI, Tableau, etc.).
  • Version control (Git) and CI / CD.
  • Where You'll Work

    This is a fully remote position, and we'll provide all the necessary equipment. You'll need a quiet workspace that is free from distractions. Reliable internet connection is required. Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices / software, is mandatory. You must be US-based in a location where you can work effectively and comply with company policies such as HIPAA.

    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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