You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility. Candidate must work Eastern or Central Time Zone business hours. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. - Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends. - Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools. - Contribute to the planning and execution of large-scale projects with limited direction from leadership. - Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation. - Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers. - Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment. - Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks. - Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products. - Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners. - Independently engage with customers and business partners to gather requirements and validate results. - Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required. - Provide technical guidance to junior analysts. Education/Experience: Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 4+ years of experience working with large databases, data verification, and data management experience. Healthcare analytics experience preferred. Working knowledge of SQL/querying languages. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft Power BI. Experience in provider contracting, claims pricing, financial reporting/analysis, data modeling, statistical modeling, data science, or geospatial/reimbursement analysis preferred. By applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified. Pay Range: $70,100.00 - $126,200.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

• Gather requirements to build and maintain data analyses, risk triggers / rules, visualizations and interactive dashboards that will drive business decisions and risk monitoring (in BI tools, web analytics platforms, and excel) • Facilitate the analytical needs of the business, collaborate in the design of diagnostic solutions, and deliver outstanding data products and insights • Use internal and external analytics tools, SQL, and scripting languages to access and analyze multivariate data • Perform deep analyses to help us understand our data better and help build out robust risk management and monitoring tools and reports for the business • Use emerging tech and tools to evaluate trends and develop actionable insights • Use data to independently uncover problems and business opportunities • Support data migrations in order to automate repeatable tasks and KPI tracking throughout the business • Track and analyze performance of various business and risk segments and programs to evaluate effectiveness • Build analysis, data visualizations, and multi-functional reporting that provides critical support to the operations and decision-making of the organization • Help translate business functional requirements into technical specifications and, conversely, technical approaches into easily digestible terms • Provide analytics expertise to key business partners regarding data & analytics • Support Commercial, Marketing & Risk teams with process improvements for optimized delivery of diverse data requests • Support business partners in adopting reporting solutions and business intelligence tools for self-service • Write LookML and SQL queries and build dashboards in Looker • Systematically identify issues with data quality and help find solutions to address • Assist with ad-hoc projects and tasks as necessary

About Runware Runware is building a high-performance, full-stack AI media-creation platform — empowering developers and companies to generate any type of media instantly. As we scale fast and integrate increasingly complex models, we need stronger visibility, analytics, and monitoring across the whole platform stack. We’re looking for a Data Expert (Analytics + Monitoring + Observability) to help us better understand, measure, and optimize how the Runware platform performs at scale — internally and for our clients. 🎯 Mission Your main goal is to give Runware full visibility over: - End-to-end inference performance - Integration usage and model activity - Errors, delays, bottlenecks, regressions - Internal and client-facing analytics dashboards - Health and performance of production pipelines You will provide the data insights that allow engineering, ML, backend, DevOps, and leadership to make informed decisions — and to continuously improve performance and reliability. 🧩 What You Will Do Performance Monitoring & Benchmarking - Build and maintain E2E inference time tracking (global and per-model). - Monitor how implementation changes impact total request latency. - Detect regressions introduced by suboptimal code paths. - Provide automated alerts & historical trends. Usage & Analytics Reporting - Build dashboards for internal use (engineering, product, leadership). - Provide client-facing usage dashboards (requests, errors, success rate, performance). - Support clients who need visibility to debug their integrations. - Track model-level usage, API endpoints usage, adoption metrics, etc. Platform Observability - Implement metrics, logs, and traces that help the entire platform scale smoothly. - Work closely with DevOps & backend teams to improve system observability. - Provide insights that guide infra decisions (GPU allocation, autoscaling, caching, batching, etc.). Data Infrastructure Ownership - Select and maintain tooling (e.g., Prometheus/Grafana, Datadog, OpenTelemetry, ELK, BigQuery, etc.). - Ensure data pipelines are reliable, accessible, and always up-to-date. - Build simple, easy-to-read dashboards for both technical and non-technical teams.

• Transform complex datasets into actionable insights • Build and maintain analytics infrastructure • Partner with cross-functional teams to drive data-informed decision-making and product improvements • Own the end-to-end analytics lifecycle—from data modeling and dashboard creation to experimentation and KPI development