• In collaboration with the data analytics team and under the direction of the Chief Member Experience Officer, the Data Analyst will create dynamic, interactive and intuitive business intelligence reports, dashboards and visualizations to support business decisions, and assure the accuracy and integrity of data. • This position can be remote.

About Us: Our purpose is to help clients exceed their financial health goals. Across the reimbursement cycle, our scalable solutions and clinical expertise help solve programmatic needs. Enabling our teams with leading technology allows analytics to guide our solutions and keeps us accountable achieving goals. We build long-term careers by investing in YOU. We seek to create an environment that cultivates your professional development and personal growth, as we believe your success is our success. JOB SUMMARY: The WISeR Data Analyst plays a critical role in transforming operational, clinical, and system data into actionable insights that drive productivity, quality, compliance, and scalability of the WISeR program. This position serves as a strategic partner to operations leadership, clinical reviewers, training teams, and external stakeholders by delivering accurate, timely, and meaningful analytics. The analyst is responsible for end-to-end data ownership—from data ingestion and validation to reporting, interpretation, and executive level storytelling. This role supports both day-to-day operational decisions and long-term strategic initiatives, including staffing models, productivity optimization, quality improvement, AI performance monitoring, and payer related escalations. ESSENTIAL DUTIES AND RESPONSIBILITIES: Note: The essential duties and responsibilities below are intended to describe the general duties and responsibilities of this position and are not intended to be an exhaustive statement of duties. This position may perform all or most of the primary duties listed below. Specific tasks, responsibilities or competencies may be documented in the Team Member’s performance objectives as outlined by the Team Member’s immediate Leadership Team Member. Core Responsibilities 1. Operational & Productivity Analytics - Monitor daily, weekly, and monthly WISeR productivity metrics, including: - Case volumes - Turnaround time (TAT) - Affirmation vs. non‑affirmation rates - Backlog levels and aging - Rework and appeal frequency - Identify trends, outliers, and performance gaps at individual, team, and program levels. - Support staffing and scheduling decisions through workload modeling and capacity analysis. - Provide real‑time and retrospective insights to leadership to support rapid decision‑making. 2. Reporting, Dashboards & Visualization - Design, develop, and maintain dashboards and standardized reports for: - Executive leadership - Operations and training teams - Clinical leadership - Translate complex data into clear, concise visuals and narratives. - Ensure reporting accuracy, consistency, and alignment with defined KPIs. - Automate recurring reports where possible to improve efficiency and reliability. 3. Quality, Accuracy & Compliance Analytics - Analyze documentation trends impacting quality, including: - Missing or inconsistent pain scales - Fluoroscopy documentation gaps - Incomplete medical necessity support - Track error patterns leading to non‑affirmations, appeals, and rework. - Support internal audits and compliance monitoring with data validation and reporting. - Assist in identifying systemic risks related to CMS, Medicare, PECOS, and UTN workflows. 4. AI & Technology Performance Monitoring - Monitor AI‑assisted workflow performance and adoption trends. - Analyze AI accuracy, override rates, and downstream operational impact. - Partner with training and technical teams to surface AI improvement opportunities. - Support technology optimization initiatives through data‑driven insights. 5. Stakeholder Partnership & Communication - Act as a data liaison between analytics and non‑technical stakeholders. - Present findings and recommendations to leadership with confidence and clarity. - Support payer, vendor, and partner discussions with data‑backed insights. - Collaborate cross‑functionally with operations, clinical, IT, compliance, and training teams. 6. Process Improvement & Data Governance - Identify opportunities to streamline workflows and reduce manual effort through analytics. - Support continuous improvement initiatives using Lean or performance‑based methodologies. - Define and maintain data dictionaries, metric definitions, and reporting standards. - Ensure data integrity, version control, and documentation best practices. Technical & Analytical Skills Required - Advanced Excel skills (pivot tables, advanced formulas, lookups, conditional logic). - Strong data validation and reconciliation skills. - Experience working with healthcare or operational datasets. - Ability to synthesize large datasets into meaningful insights. Preferred - Business Intelligence tools: Power BI, Tableau, or similar. - SQL or database querying experience. - Familiarity with healthcare systems, utilization management, or revenue cycle workflows. - Experience with CMS, Medicare, PECOS, UTN, or prior authorization processes. - Exposure to AI‑enabled workflows or automation platforms. Education & Experience Required - Bachelor’s degree in Data Analytics, Healthcare Administration, Business, Information Systems, or related field (or equivalent experience). - 2–4 years of experience in data analysis, reporting, or operational analytics. Preferred - Healthcare analytics experience. - Experience supporting clinical or physician‑driven workflows. - Experience in fast‑paced, metrics‑driven environments. Key Competencies - Analytical thinking and problem‑solving - Data accuracy and attention to detail - Executive‑level communication and data storytelling - Cross‑functional collaboration - Confidentiality and compliance awareness - Continuous improvement mindset PHYSICAL DEMANDS: Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions as described. Regular eye-hand coordination and manual dexterity is required to operate office equipment. The ability to perform work at a computer terminal for 6-8 hours a day and function in an environment with constant interruptions is required. At times, Team Members are subject to sitting for prolonged periods. Infrequently, Team Member must be able to lift and move material weighing up to 20 lbs. Team Member may experience elevated levels of stress during periods of increased activity and with work entailing multiple deadlines. A job description is only intended as a guideline and is only part of the Team Member’s function. The company has reviewed this job description to ensure that the essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

• Drive analytics discussions with leadership and cross functional teams to build consensus on business and technical definitions of KPI/metrics. • Create reliable and efficient queries transforming and extracting large data sets for dashboarding and data visualization. • Build expertise in metric definitions and calculations to ensure accurate and proper interpretation of core business metrics and drivers. • Partner with the cross functional teams to drive projects and processes that contribute to improvements in data integrity. • Manage a small team of analytics engineers/analysts. • Identify opportunities to optimize reporting processes, data integration, and automation and partner with the broader team to execute on enhancements. • Use data visualization and analytic tools to grasp business insights, and to create consumable data visualizations and recommendations that influence business outcomes. • Analyze key performance metrics to identify root cause of performance issues. • Regularly communicate performance trends and improvements to senior management and leadership ensuring they can talk to service-specific performance. • Ensure all programs have clear, quantifiable outcomes and measures that drive improved performance. • Build and manage analytics pipeline processes using dbt or similar tools.

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