Company Overview At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth. Be part of a team that makes a real difference. Job Description The Customer Intelligence Strategy Analyst is responsible for leading the evolution of customer intelligence capabilities through AI‑driven insights and integrated customer data. This role builds a unified, predictive, and holistic view of the customer across the post‑sale lifecycle and drives revenue retention by converting complex customer signals into clear, actionable guidance for customer success, sales, executive sponsors, and operational teams. This role owns the vision, governance, and evolution of customer intelligence, including data ingestion, customer health modeling, churn prediction, behavioral analytics, KPI tracking and AI‑enabled insight generation. Key Responsibilities - Lead the development of predictive retention and churn‑risk models, leveraging behavioral, engagement, product‑usage, and sentiment analytics. - Execute the roadmap for AI‑enabled customer intelligence, including generative AI, machine learning, and automated insight generation. - Own customer‑intelligence data within Salesforce and related systems, ensuring governance, accuracy, scalability, and integration into AI models. - Partner with Enterprise Business Technology to unify customer data across Salesforce, CX platforms, and feedback tools into a single holistic customer view, while leading shared technical resources. - Establish and enhance analytics frameworks for customer health scoring, introducing AI‑supported workflows that surface risks, expansion signals, and recommended actions. - Own revenue‑retention analytics, including predictive churn indicators and risk modeling. - Develop standardized analytics connecting customer behavior, product usage, adoption maturity, renewal performance, and operational indicators across market segments. - Synthesize customer intelligence into clear narratives, providing recommendations with measurable business impact. - Partner with Client Services leadership to optimize Salesforce workflows, improving visibility into customer engagement and predictive indicators. - Lead strategy, evaluation, and implementation of Voice of the Customer tools, including surveys, interviews, sentiment analysis, and unstructured‑data processing. - Serve as a trusted partner to Customer Success, Sales, and Product, delivering insights that shape renewal planning, customer journeys, and value messaging. - Drive accountability for data‑driven decision‑making, influencing actions through insights, storytelling, and a deep understanding of the customer lifecycle. Qualifications - Bachelor’s degree required with 5+ years in customer analysis, customer intelligence analytics, customer success operations, or related field. - Strong analytical and synthesis skills, especially with qualitative customer data. - Understanding of customer success, retention levers, and post‑sale lifecycle management. - Strong customer success and retention mindset with a data-driven approach. - Advanced Salesforce expertise in reporting, dashboards, and data governance. - Strong project and stakeholder management skills; able to lead without direct authority. - Experience partnering with senior stakeholders and influencing outcomes across functions. - Exceptional communication and executive‑level presentation skills. - Experience managing vendors and cross-functional technology resources. - Strategic thinker with an operational mindset. Ability to translate insights into improvements. - Proven experience implementing or leveraging AI, predictive analytics, or automation within sales or customer success ecosystems. - Proficiency with generative AI tools (ChatGPT, Claude) and strong understanding of AI governance, risks, and opportunities. - Demonstrated experience owning retention metrics and customer feedback programs. Benefits We’re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $80,000 - $115,000 annually, and will be based on a number of additional factors including skills, experience, and education. The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. #LI-AP1 #LI-Remote #ENT

JOB DESCRIPTION Job Summary Provides senior level analyst support for medical economics analysis activities, including extracting, analyzing and synthesizing data from various sources to identify risks and opportunities, and improve financial performance. Essential Job Duties • Extracts and compiles data and information from various systems to support executive decision-making. • Mines and manages information from large data sources. • Analyzes claims and other data sources to identify early signs of trends or other issues related to medical care costs. • Analyzes the financial performance, including cost, utilization and revenue of all Molina products - identifying favorable and unfavorable trends, developing recommendations to improve trends and communicating recommendations to leadership. • Draws actionable conclusions based on analyses performed, makes recommendations through use of health care analytics and predictive modeling, and communicates those conclusions effectively to audiences at various levels of the enterprise. • Performs pro forma sensitivity analyses in order to estimate the expected financial value of proposed medical cost improvement initiatives. • Collaborates with clinical, provider network and other teams to bring supplemental context/insight to data analyses, and design and perform studies related to the quantification of medical interventions. • Collaborates with business owners to track key performance indicators of medical interventions. • Proactively identifies and investigates complex suspect areas regarding medical cost issues, initiates in-depth analysis of suspect/problem areas and suggests corrective action plans. • Designs and develops reports to monitor health plan performance and identify the root causes of medical cost trends - with root causes identified, drives innovation through creation of tools to monitor trend drivers and provides recommendations to senior leaders for affordability opportunities. • Leads projects to completion by contributing to ad-hoc data analyses, development, and presentation of financial reports. • Serves as subject matter expert on developing financial models to evaluate the impact of provider reimbursement changes • Provides data driven analytics to finance, claims, medical management, network, and other departments to enable critical decision making. • Supports financial analysis projects related to medical cost reduction initiatives. • Supports medical management by assisting with return on investment (ROI) analyses for vendors to determine if financial and clinical performance is achieving desired results. • Keeps abreast of Medicaid and Medicare reforms and impact on the Molina business. • Supports scoreable action item (SAI) initiative tracking to performance. Required Qualifications • At least 3 years of health care analytics and/or medical economics experience, or equivalent combination of relevant education and experience. • Bachelor’s degree in statistics, mathematics, economics, computer science, health care management or related field. • Demonstrated understanding of Medicaid and Medicare programs or other health care plans. • Analytical work experience within the health care industry (i.e., hospital, network, ancillary, medical facility, health care vendor, commercial health insurance, large physician practice, managed care organization, etc.) • Proficiency with retrieving specified information from data sources. • Experience with building dashboards in Excel, Power BI, and/or Tableau and data management. • Knowledge of health care operations (utilization management, disease management, HEDIS quality measures, claims processing, etc.) • Knowledge of health care financial terms (e.g., PMPM, revenue) and different standard code systems (ICD-10CM, CPT, HCPCS, NDC, etc.) utilized in medical coding/billing (UB04/1500 form). • Demonstrated understanding of key managed care concepts and provider reimbursement principles such as risk adjustment, capitation, FFS (Fee-for-Service), Diagnosis Related Groups (DRG’s), Ambulatory Patient Groups (APG’s), Ambulatory Payment Classifications (APC’s), and other payment mechanisms. • Understanding of value-based risk arrangements • Experience in quantifying, measuring, and analyzing financial, operational, and/or utilization metrics in health care. • Ability to mine and manage information from large data sources. • Demonstrated problem-solving skills. • Strong critical-thinking and attention to detail. • Ability to effectively collaborate with technical and non-technical stakeholders. • Strong time-management skills, and ability to manage simultaneous projects and tasks to meet internal deadlines. • Effective verbal and written communication skills. • Proficient in Microsoft Office suite products, key skills in Excel (VLOOKUPs and pivot tables)/applicable software program(s) proficiency. Preferred Qualifications • Proficiency with Power BI and/or Tableau for building dashboards. To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V

• Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. • Develop and apply statistical methods to evaluate the quality and reliability of datasets. • Analyse and assess the generalisability and robustness of ML systems across diverse use cases. • Collaborate with teams to improve dataset quality and model performance. • Train and fine-tune large language models (LLMs) on distributed training infrastructures. • Conduct experiments to evaluate model performance and identify areas for improvement.

Role Description AEO Employment Services Co LLC seeks a Senior Analyst – Data Insights. This is a remote position, the employee can work from anywhere in the United States to drive retail and e-commerce insights. Duties include: - Deep analysis of consumer behavior including website traffic, conversion rates, and out of stock analysis. - Analysis of product recommendation engines and impact on purchases. - Acquisition analysis including MTA (multi-touch attribution), MMM (marketing mix modeling), last touch attribution, and other analysis to inform spending mix across channels and products. - Supply chain visualizations for network efficiency and RFID tracking technology. - Maintain tracking and tagging of all products in retail and e-commerce catalog. Qualifications - Master’s degree (or foreign equivalent degree) in Computer Science, Information Systems, or a related field. - Four (4) years of experience in a related position. Requirements - Experience with creating database layers for business intelligence standardization using GCP or AWS cloud platforms. - Proficiency in Tableau desktop to create dashboards for data visualizations, time series analysis, deployment of rich graphic visualizations with drill down and drop down menu options and parameters. - Experience with Tableau Server to oversee and maintain the overall health and performance of a Tableau Server environment including managing user access, ensuring data security, configuring sites, handling content management, and monitoring server performance. - Experience with Cognos for Ad-Hoc and developed reports that are scheduled, triggered & distributed using relational and dimensional report models in various formats - HTML, XML, Excel, PDF. - Experience with Dynamic cubes and PowerPlay cubes as well as Dimensionally Modeled Relational Framework Manager Models and the ability to migrate these reports and dashboards to Tableau. - Advanced SQL including complex joins and subqueries, window functions, and Common Table Expressions (CTEs) for effective query organization, query optimization, and performance tuning. - Experience can be concurrent. Benefits - Health care benefits (including medical, vision, and dental). - Wellness benefits. - 401(k) retirement benefits. - Life and disability insurance. - Employee stock purchase program. - Paid time off. - Paid sick leave. - Parental leave and benefits. - Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. - AEO may also provide discretionary bonuses and other incentives at its discretion.