Process & Analytics Specialist

Zelis•Plano, TX

4d•Hybrid

About The Position

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

Requirements

8-10+ years of experience in data analytics, business analytics, or operations analytics roles
Demonstrated experience working closely with operational teams and understanding complex workflows
Advanced proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, Looker, etc.)
Strong experience building scalable dashboards and reporting frameworks
Proven ability to influence decision-making through data and insights
Strong analytical thinking, problem-solving, and critical reasoning skills
Excellent communication skills with the ability to engage senior stakeholders
Strong sense of ownership; drives initiatives through to completion and impact
Ability to lead without direct authority across multiple teams

Nice To Haves

Experience in Operational Excellence, Lean, Six Sigma, or continuous improvement methodologies preferred
Background in healthcare, payments, or other high-volume, process-driven environments preferred
Experience with predictive analytics, trend modeling, or statistical analysis preferred
Familiarity with process mapping and workflow optimization tools preferred

Responsibilities

Lead analysis of complex operational data to identify trends, patterns, and emerging risks
Proactively deliver forward-looking insights that inform operational and strategic decisions
Define and evolve KPIs to ensure alignment with business objectives
Serve as a trusted decision-making partner to operations leadership on performance and optimization opportunities
Design, build, and deploy automations to improve operational efficiency
Identify repeatable solutions and scale them across teams
Leverage tools and scripting to eliminate manual processes
Own the identification, prioritization, and scaling of automation opportunities across teams
Standardize automation approaches across operational workstreams
Develop a deep, end-to-end understanding of operational workflows and interdependencies
Lead root cause analysis and identify systemic process issues impacting performance
Drive process improvement initiatives using data-driven insights
Partner with Operational Excellence leaders to prioritize and implement high-impact improvements
Lead cross-workstream process improvement initiatives, ensuring alignment and consistency
Apply Lean/Six Sigma methodologies to process and analytics improvements
Establish feedback loops for ongoing optimization
Design and oversee scalable dashboards, reporting frameworks, and performance monitoring tools
Ensure data integrity, consistency, and usability across reporting solutions
Move beyond descriptive analytics to incorporate diagnostic and predictive insights where applicable
Define and govern enterprise standards for reporting and dashboard development
Ensure consistency and alignment of reporting across workstreams
Ensure data quality and consistency across Snowflake and reporting layers
Partner with data teams to optimize semantic models
Enable self-service analytics through training and documentation
Act as a key liaison between operations, product data/technology teams, and leadership
Influence stakeholders across multiple levels of the organization
Translate complex analytical findings into clear, actionable recommendations
Train operational teams on SQL and data best practices
Promote data literacy and adoption of analytics tools
Set strategy and priorities for analytics and process improvement work across teams to maximize business impact
Own and drive key analytical initiatives from problem definition through execution and impact measurement across the product
Establish frameworks to track and quantify the impact of operational improvements and standards for controlled processes and analytics that are adopted across stakeholders
Continuously refine analytical approaches to increase business value and operate with end-to-end accountability for outcomes and sustained impact