Senior Process & Data Analyst

At Zelis, we Get Stuff Done. So, let's get to it!

A Little About Us

Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients.

At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture.

A Little About You

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

Position Overview

The Sr. Process & Data Analyst is a key member of the Operational Excellence team, embedded within daily operations to drive performance visibility, operational efficiency, and continuous improvement. This role is responsible for working directly within operational data to identify inefficiencies, uncover trends, and translate insights into actionable improvements.

A primary focus of this role is the development and ownership of meaningful KPIs across our Pricing Solutions team, particularly across out-of-network (OON) processes. This individual will partner closely with operations and leadership to define how performance is measured, proactively identify risks and opportunities, and ensure data is actively used to drive day-to-day decision-making.

This role requires a balance of hands-on analytical execution and strategic thinking, with a strong emphasis on improving operational outcomes through data.

What You'll Do:

Operational Insights & KPI Ownership

* Operate within daily operational data to monitor performance, identify inefficiencies, and surface actionable insights

* Develop, refine, and own KPIs that measure performance across operational workflows, with a strong focus on Pricing Solutions processes

* Establish leading indicators to proactively identify risks, bottlenecks, and performance gaps

* Partner with operations leadership to align KPIs with business objectives and drive accountability

Process Optimization & Operational Efficiency

* Develop a deep understanding of end-to-end operational workflows, particularly within Pricing Solutions processes (e.g., pricing, reimbursement, negotiation)

* Identify breakdowns, inefficiencies, and variation in performance across workflows

* Conduct root cause analysis to diagnose systemic issues impacting cost, quality, and throughput

* Partner with operations teams to design, test, and implement process improvements in real time

* Support continuous improvement efforts using data-driven insights

Analytics, Reporting & Data Utilization

* Build and maintain dashboards and reporting tools that support daily operational decision-making

* Ensure data is accurate, consistent, and accessible across operational reporting

* Translate complex data into clear, actionable insights for both frontline teams and leadership

* Evolve reporting from descriptive to diagnostic (and where possible, predictive) analytics

* Drive standardization of performance reporting across teams

Cross-Functional Partnership

* Act as a liaison between operations, data/technology teams, and leadership

* Partner with stakeholders to ensure data definitions, metrics, and reporting align with operational reality

* Influence decision-making through data storytelling and clear recommendations

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