• Implementar y supervisar controles de calidad de datos para asegurar precisión, integridad y fiabilidad. • Diseñar, construir y mantener dashboards complejos integrando múltiples fuentes de datos. • Analizar tendencias, patrones, oportunidades y alertas a partir de grandes volúmenes de información. • Proponer y ejecutar mejoras en procesos de análisis, visualización y consumo de datos. • Automatizar procesos ETL, assets y reglas de negocio requeridas para reportes y tableros. • Administrar flujos y almacenes de datos para herramientas oficiales de visualización. • Supervisar y/o ejecutar pruebas funcionales para certificación de productos de datos. • Acompañar y asesorar a analistas JR/SR en buenas prácticas, lineamientos y construcción de soluciones Dataviz. • Actuar como consultor interno para otros equipos en uso de datos y visualización. • Alinear las iniciativas con los objetivos estratégicos del negocio y apoyar la ejecución de la estrategia de Delivery y Soluciones de Datos.

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 live in New York, New Jersey, Connecticut or Pennsylvania. Candidate must attend occasional office meetings in Long Island City, NY office. 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 fraud/waste/abuse identification and investigation, provider billing, or clinical coding preferred; Experience with data mining, machine learning, artificial intelligence, or statistical modeling 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

• Perform deep analytical investigations of IVR call data and routing behaviour • Write advanced SQL queries to analyse call flows, routing outcomes, and interaction metrics • Analyse IVR event logs, call lifecycle events, and routing data • Support troubleshooting of IVR issues through backend data analysis • Identify trends in containment rate, transfers, call failures, and routing anomalies • Produce analytical outputs and insights using Tableau dashboards • Work with Aurora MySQL and Redshift datasets supporting IVR analytics • Support IVR optimization initiatives by providing data insights to architects and developers • Investigate anomalies in call behaviour and data inconsistencies across datasets • Collaborate with developers and database teams to understand underlying data structures • Support multi-day analytical investigations and ad-hoc data requests • Provide insights to business stakeholders via analytics feeds to GBI reporting

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Data & Forecast Lead Analyst who will work as a part of a dynamic supply chain team to assist with business analysis of healthcare products, enhance patient care, safety, and caregiver workflow. As the Lead Analyst, your contributions to the team will include: - Cross-Functional Collaboration: Partner with Sales, Operations, and Supply Chain teams to gather insights and ensure forecast accuracy. - Reporting & Analysis: Deliver executive-ready summaries and KPI reports that highlight risks, opportunities, and variance against actual performance. - Process Improvement: Continuously refine forecasting methodologies and implement new tools (e.g., AI/Machine Learning) to reduce bias and error. - Develop an in-depth understanding of systems and analytics tools used by the organization (including, but not limited to Excel, Access Database creation/management, and Syteline Reporting). - Evaluate, manage, track, and enter pricing contracts and price lists for accuracy and identify cost-saving opportunities. - Gather data and provide analysis from our internal systems (Syteline), based on inventory positions and investment opportunities. Qualifications - Minimum of bachelor’s degree required, with major in Business, Business Analytics, Mathematics, or Statistics preferred or combination of experience, education, and training which would provide the level of knowledge, skill, and ability required. - Minimum of 3-5 years’ experience analyzing pricing data and statistical/business analytics in a medium-large company. - Proficiency in ERP systems (SAP, Oracle), CRM (Salesforce), and BI tools (PowerBI, Tableau). - Knowledge of SQL, Python, or specialized forecasting software like Yardi or Kinaxis. Benefits - You will enjoy a solid compensation and benefits package, including, but not limited to, the following: - Commensurate salary - Paid time off - Paid holidays - Medical, dental, and vision insurance - Paid parental leave - 401(k) with company match - Company-paid Life, AD&D, and Long-term disability insurance - Voluntary Short-term disability, Supplemental Life, AD&D, Accidental Injury, and Hospital Indemnity insurance