JOB DESCRIPTION Job Summary Performs research and analysis of complex healthcare claims data, pharmacy data, and lab data regarding network utilization and cost containment information. Evaluates, writes, and presents healthcare utilization and cost containment reports and makes recommendations based on relevant findings. KNOWLEDGE/SKILLS/ABILITIES - Develops, implements, and uses software and systems to support the department's goals. - Develops and generates ad-hoc and standard reports using SQL programming, SQL Server Reporting Services (SSRS), Medinsight, RxNavigator, Crystal Reports, Executive Dashboard, and other analytic / programming tools. - Coordinates and oversees report generation by team members and distribution schedule to ensure timely delivery to customers, ensuring the highest quality on every project/request. Responsible for error resolution, follow up and performance metrics monitoring. - Provides peer review of critical reports and guidance on programming / logic improvements; provides guidance to team members in their analysis of data sets and trends using statistical tools and techniques to determine significance and relevance. - Participate in and guide the design of large scale predictive and statistical models to predict future trends in cost, utilization, and performance. Guide team members on appropriate writing skills for executive summaries tailored to the audience. - Applies process improvements for the team's methods of collecting and documenting report / programming requirements from requestors to ensure appropriate creation of reports and analyses while reducing rework. - Manage the creation of comprehensive workflows for the production and distribution of assigned reports, document reporting processes and procedures. - Create new databases and reporting tools for monitoring, tracking, and trending based on project specifications. - Create comprehensive workflows for the production and distribution of assigned reports, document reporting processes and procedures. - Assist with research, development and completion of special projects as requested by various internal departments, or in support of requests from regulatory agencies, contracting agencies, or other external organizations. - Maintains SharePoint Sites as needed, including training materials and documentation archives. - Demonstrate Healthcare experience in Quantifying, Measuring and Analyzing Financial and Utilization Metrics of Healthcare. JOB QUALIFICATIONS Required Education Bachelor's Degree in Finance, Economics, Computer Science Required Experience - 6+ years of progressive responsibilities in Data, Finance or Systems Analysis - Expert knowledge on SQL, SSRS and SSIS or similar tools Preferred Education Bachelor's Degree in Finance, Economics, Math, or Computer Science Preferred Experience Preferred experience in Medical Economics and Strong Knowledge of Performance Indicators: - Proactively identify and investigate complex suspect areas regarding medical cost issues - Initiate in-depth analysis of the suspect/problem areas and suggest a corrective action plan - Apply investigative skill and analytical methods to look behind the numbers, assess business impacts, and make recommendations through use of healthcare analytics, predictive modeling, etc. - Analysis and forecasting of trends in medical costs to provide analytic support for finance, pricing, and actuarial functions - Multiple data systems and models - BI tools (ProClarity, MEd Insight, etc.,) Preferred License, Certification, Association QNXT or similar healthcare payer applications To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. The Opportunity SharkNinja is seeking a Senior Manager, CX Analytics to lead our CX Data capability and build scalable, AI-enabled analytics that power operational excellence across our global Consumer Experience organization. This role sits at the intersection of Contact Center Operations, Voice of Consumer, Quality, and Enterprise Data Engineering. You will combine deep CX domain expertise with strong analytics engineering capability to engineer trusted CX datasets, standardize global CX metrics, enable structured business self-service, and embed AI to accelerate insight generation-in close partnership with our Global Enterprise Data team. This is not a pure dashboard development role. It is a CX-native analytics leadership role focused on building durable, scalable data products that improve speed, clarity, and operational decision-making. What You'll Own - CX Analytics Strategy & Metric Standardization You will define and standardize how CX performance is measured globally across: - Contact center performance (e.g., AHT, occupancy, forecasting inputs) - Quality assurance frameworks and compliance measurement - Voice of the Consumer analytics - Contact drivers, defect trends, and root cause analysis - Operational backlog and order-related contact dynamics - Cost-to-serve analysis You must deeply understand how CX metrics are calculated and how operational levers influence outcomes. - CX Data Engineering (SQL, Snowflake, dbt) You will design and implement CX domain models and transformations within the enterprise Snowflake and dbt frameworks. Responsibilities include: - Writing advanced SQL (complex joins, window functions, performance optimization) - Building and maintaining dbt models aligned to enterprise frameworks - Standardizing metric definitions, documentation, and lineage - Refactoring legacy reporting logic into scalable, governed data assets - Ensuring testing, performance reliability, and production-quality code standards You will operate within enterprise governance standards while owning CX-specific transformation logic. - Enabling Self-Service Analytics (Critical to Success) A key success metric is reducing analyst dependency and enabling structured business self-service. You will: - Design curated CX data marts optimized for operational leaders - Build governed semantic layers to prevent metric misinterpretation - Enable leaders to independently answer first-order questions - Reduce ad hoc reporting demand through reusable datasets and clear definitions - Create intuitive analytical pathways rather than complex drill-through journeys The goal is faster decisions without compromising data integrity. - AI-Enabled Insight Acceleration This role is expected to embed AI into the CX analytics lifecycle to increase speed and depth of insight. You will: - Use AI-assisted SQL and model development to accelerate delivery - Apply anomaly detection techniques to CX KPIs and operational metrics - Automate contact driver clustering and transcript theme extraction - Leverage NLP for Voice of Consumer categorization and insight discovery - Deploy LLM-powered summarization to streamline executive reporting, i.e. Snowflake Intelligence - Evaluate Snowflake-native AI capabilities (e.g., Cortex/COCO) for CX use cases AI must drive measurable gains in time-to-insight, foresight, and analyst productivity. Clear Division of Responsibilities To ensure strong partnership and avoid duplication, responsibilities are clearly defined between the CX Data Team and the Global Enterprise Data Team: CX Data Team (this role) Global Enterprise Data Team CX domain expertise and business requirements definition Platform architecture, governance, and compliance standards Writing CX-specific SQL and dbt models within the enterprise framework Snowflake environment management and engineering best practices Curating, interpreting, and communicating CX datasets dbt framework standards, patterns, and code review Translating stakeholder questions into structured data requirements Data ingestion pipelines and source system integrations Design CX data products that power dashboards and self-service analytics across the CX organization Enterprise tooling (Cortex/COCO, AI-enabled development frameworks) Validating outputs reflect true CX operational reality Cross-functional data standards ensuring CX data aligns with Finance, Marketing, Operations This role operates in close partnership with Enterprise Data-contributing domain logic within established engineering guardrails. What We're Looking For Required - 8-12+ years in Analytics, with strong CX/Contact Center focus - Deep experience in Contact Center operations, Quality, and Voice of Consumer - Advanced SQL expertise - Strong Snowflake experience - Hands-on dbt model development - Experience operating within a centralised enterprise data platform where domain teams contribute models within shared governance frameworks. - Experience building governed data marts or semantic layers - Experience enabling structured business self-service analytics - Exposure to AI/ML techniques in analytics workflows Not a Fit If - Your experience centers primarily on dashboard configuration - You have not built transformation logic or data models - You lack experience in Snowflake or dbt - You have limited exposure to CX operational metrics What Success Looks Like - Globally standardized, trusted CX metrics - Performant Snowflake datasets aligned to enterprise standards - dbt pipelines documented and tested - AI embedded into CX insight workflows - Increased business-led data exploration - Reduced manual reporting and faster operational decision-making Who You Are - A CX-native analytics leader who understands contact center operations, VOC, and quality measurement - This is a hands-on technical leadership role. You will actively design and build SQL/dbt models while setting standards for CX analytics engineering - Curious, structured, and detail-oriented-able to challenge assumptions and clarify requirements - Energized by building scalable systems and enabling others through self-service analytics Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more. Pay Range $130,000-$160,000 USD Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice - For candidates based in all regions, please refer to this Candidate Privacy Notice. - For candidates based in China, please refer to this Candidate Privacy Notice. - For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

• Lead the architecture and modeling of analytical data focused on product metrics and the customer journey • Serve as the technical reference for the Analytics Engineering team, promoting quality standards, versioning, and documentation for code and data pipelines • Plan, review, and evolve pipelines in SQL, dbt, and other tools in our stack • Ensure governance, reliability, and data quality for experimentation (e.g., A/B tests), dashboards, and product analyses • Collaborate with cross-functional squads to identify opportunities, define metrics, support decision-making, and measure the impact of features and improvements • Mentor and develop the team technically, disseminating best practices in data and product engineering • Stay up to date with analytics engineering trends, introducing innovations and automations to increase efficiency and competitiveness • Actively participate in defining, implementing, and evolving centralized, documented, and maintained metrics (the "source of truth") for the entire organization • Promote a collaborative, inclusive, and impact-driven environment

• Tendrás la oportunidad de impulsar tu desarrollo profesional. • Trabajar en diversos proyectos dentro de distintas industrias. • Contribuir al diseño, implementación y optimización de infraestructuras en la nube. • Serás el experto que participará en nuestros proyectos. • Tendrás acceso a startups disruptivas y marcas globales.