• Design, build, test, and validate advanced HubSpot reports and dashboards using Custom Report Builder • Create reports leveraging datasets, custom properties, calculated fields, filters, and cross-object relationships • Build reports using connective data sources where native object associations do not exist • Apply measures and dimensions appropriately for scalable and reusable reporting • Implement Custom Behavioral Events to track user actions across: Public-facing websites, Secure, role-based portals • Select and justify the most effective data visualizations (bar, line, table, etc.) based on business context • Apply filters for timeframes, lifecycle stages, pipelines, and campaign attribution • Design dashboards that support: Cross-dashboard user journeys, Scenarios requiring multiple dashboards vs. consolidated views • Implement consistent design and usability patterns to support self-service reporting adoption • Demonstrate manual, user-selectable data refresh mechanisms between scheduled refreshes • Advise when exporting HubSpot datasets to Microsoft Power BI Desktop is the most appropriate reporting solution • Train organizational staff on: Report interpretation, Dashboard usage, Foundational reporting best practices

• Collaborate with business stakeholders to understand their requirements and objectives, ensuring that reporting deliverables meet business needs. • Design, develop, and maintain reports and dashboards in Sigma, providing actionable insights to support decision-making processes across the organization. • Utilize SQL and other data manipulation languages to extract and manipulate data from various sources, including Snowflake. • Implement and advocate for best practices in data governance, reporting standards, and data integrity within Sigma and other data analysis tools. • Perform data analysis to uncover trends, patterns, and insights that can influence strategic decisions. • Actively participate in the evaluation and selection of data analytics tools and processes to improve and streamline reporting capabilities. • Contribute to the development and maintenance of the data warehouse in Snowflake, ensuring optimal performance and scalability.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Position Summary The ProviderPay Data Analyst will be responsible for analyzing complex healthcare provider payment data to identify trends, ensure accuracy, and support strategic decision-making within Strategic Health Alliance II, Inc. Compensation: Target rate for this role is between $33 and $34 per hour. Location: While this role is fully remote, we do require candidates live within a drivable distance of the Columbus, OH location. Key Responsibilities - Collect, clean, and validate large datasets related to provider payments, claims, and reimbursement. - Develop and maintain reports and dashboards to visualize key performance indicators (KPIs) and payment patterns. - Perform root cause analysis on payment discrepancies, denials, and underpayments/overpayments. - Collaborate with finance, operations, and contracting teams to understand data requirements and deliver actionable insights. - Identify opportunities for process improvement and cost savings through data analysis. - Assist in the development and testing of new payment models and systems. - Present findings and recommendations to both technical and non-technical stakeholders. - Ensure data integrity and compliance with relevant healthcare regulations. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education Bachelor's degree in Data Science, Statistics, Finance, Business Analytics, or a related field. Critical Skills - 2+ years of experience in data analysis, preferably within the healthcare or health insurance industry. - Proficiency in SQL for data extraction and manipulation. - Experience with data visualization tools (e.g., Tableau, Power BI). - Strong analytical and problem-solving skills with attention to detail. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team in a fast-paced environment. - Familiarity with healthcare reimbursement methodologies (e.g., fee-for-service, value-based care) is a plus. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $31.73 - $52.89 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description: Role Title: Senior Analyst, Model Monitoring (L09) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. - We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. - We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. - We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose: The Senior Analyst, Model Monitoring is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and plays a critical role in the post-deployment monitoring of models across the enterprise. This individual is responsible for executing performance tracking routines, developing dashboards, supporting performance investigations, and collaborating with model owners and risk stakeholders to ensure models remain accurate, explainable, and compliant. This role will support the team by applying advanced analytical skills and a working knowledge of model governance standards to help uphold the integrity of the model risk management lifecycle. Essential Responsibilities - Perform model monitoring activities for credit, customer, and non-customer decision models, including tracking of KPIs, stability metrics, and performance degradation indicators. - Create and maintain dashboards and reports that communicate performance trends, trigger alerts, and highlight potential model concerns. - Collaborate with model developers, owners, and validators to support timely issue investigation, remediation planning, and documentation updates. - Support the development and maintenance of monitoring frameworks, including stability thresholds, performance benchmarks, and early warning indicators. - Assist with the automation of recurring monitoring tasks using scripting (e.g., SAS, Python, SQL) and workflow tools. - Document model performance summaries, trend analyses, and key monitoring artifacts in accordance with model risk policies. - Prepare inputs for model risk reports, audit reviews, and regulatory requests, ensuring traceability and completeness of monitoring evidence. - Contribute to the adoption of MLOps best practices and explainability techniques (e.g., SHAP, LIME) to enhance monitoring transparency and trust. - Participate in cross-functional working sessions to evaluate monitoring outcomes and support continuous improvement initiatives. Required Skills & Knowledge - Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 3+ years’ experience or in lieu of degree 5+ years of relevant work experience in model analytics, monitoring, validation or development within a financial services environment. - Strong technical proficiency with data manipulation and analysis tools such as Python, SQL, R, or SAS. - Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards. - Working knowledge of performance drift metrics, stability indicators, and key model health metrics. - Ability to translate technical findings into clear, concise documentation for non-technical audiences. - Experience with monitoring automation or process efficiency initiatives is a plus. - Ability to manage multiple models or monitoring streams independently, with a high attention to detail and quality. Desired Skills & Knowledge - Strong problem-solving and critical thinking skills, especially when interpreting complex performance trends or ambiguous signals. - Solid communication and stakeholder engagement skills, with the ability to present findings in a structured and compelling manner. - Proactive and collaborative mindset, with experience working in cross-functional model risk or analytics teams. - Interest in staying current with emerging monitoring tools, AI/ML observability practices, and explainability techniques. - Exposure to regulatory or audit interactions related to model performance monitoring or documentation - Strong Familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies). Eligibility Criteria: Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 3+ years’ experience or in lieu of degree 5+ years of relevant work experience in model analytics, monitoring, validation or development within a financial services environment. Work Timings: 2PM - 11PM IST This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events. For Internal Applicants: - Understand the criteria or mandatory skills required for the role, before applying - Inform your manager and HRM before applying for any role on Workday. - Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) - Must not be any corrective action plan (First Formal/Final Formal, LPP) - L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible. - L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible. - L04+ Employees can apply. Grade/Level: 09 Job Family Group: Data Analytics