• 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

Join Our Team as an Intern (GIS) Skeo is a small consulting firm that provides innovative and collaborative solutions for our clients, emphasizing environmental stewardship and economic opportunity. We are seeking an intern to join our dynamic and talented team of professionals. As a GIS intern, you will support a variety of government projects that frequently include geospatial analysis in a client-facing capacity. This intern will assist in building, maintaining, modifying, or using geographic information systems databases, and perform some custom application development or provide user support. You will assist with research, writing, document preparation and coordination of meetings and events. You will gain experience across multiple areas of consulting. The ability to manage multiple assignments, respond to deadlines, communicate responsively, and produce accurate work is required. The position will work approximately 25 hours per week. While we are only considering applicants residing within the state of Virginia at this time, the role may work remotely or in our Charlottesville, Virginia office. Occasional travel may be required depending on project needs. A cover letter and resume are required for this opportunity. We recognize that candidates may bring different combinations of skills and experience. If this role interests you and you believe you can contribute to our team, we encourage you to apply, even if you do not meet every listed qualification. Example Projects: - Mapping and Spatial Analysis: Create maps using Esri ArcGIS tools, and analyze data as required. - Data Creation and Cleanup: Digitize locations from aerial imagery, clean and standardize datasets, and contribute to data hygiene. - Building Dashboards and Automation: May build dashboards or create automation for tasks using Excel, Python or other supported tools. - Research: Researching and collecting data. Research projects may vary but would likely be related to GIS, mapping and boundary work, or reuses on Superfund sites. - Meeting Support: Scheduling, note-taking, identifying potential venues, developing PowerPoint presentations, checking in participants, and answering questions. - Document Review: Assisting with ensuring that documents are 508 compliant and reviewing completed documents for compliance and accuracy. - General Tasking: Completing general research, data entry, and writing tasks to inform the development of fact sheets, videos, StoryMaps and other communication materials. Essential Skills and Qualifications: - Minimum education of a bachelor's degree in Geology, Geospatial Science, Geography, GIS or a related field. - Advanced working knowledge of Microsoft Office Suite programs, such as Word, Teams, PowerPoint, and Publisher. - One or more years of experience working with ArcGIS Pro and ArcGIS Online. - Familiarity with industry standards, best practices, and emerging trends in GIS technology. - Demonstrated ability to communicate clearly, collaborative effectively, and produce accurate written work. - Ability to balance independent work with team collaboration while managing multiple priorities. - High speed internet access, if working remotely. Preferred Skills and Qualifications: - One or more years of experience working with ArcGIS Enterprise and Survey 123. - One or more years of experience working with GeoAI. - Familiarity with or understanding of GIS automation tools including ArcGIS Python API or ArcPy to communicate between technical teams and clients. - Proficiency with PowerBI or Python. Why Intern with Skeo? - Remote or in-office: You can work remotely or join us at our office in Charlottesville, Virginia. Applicants must have internet access that allows them to perform tasks requiring major data transfers. Skeo’s standard operating hours are 9:00 AM to 5:00 PM Eastern Time, Monday through Friday. Internship applicants should be available to work up to 25 hours per week. Skeo will only consider applicants within the state of Virginia. Applicants from other states or outside of the United States are not being considered for remote employment with Skeo at this time.    - Paid internship: The pay for this position is $25 per hour. - Development opportunities: Skeo strives to continuously improve our expertise and knowledge base, and we provide learning opportunities for staff while holding ourselves to high standards of excellence, integrity and accountability. - Supportive work environment: Skeo integrates our operating principles of dignity, respect, compassion, integrity and accountability into our work. Please submit the required application materials no later than April 28, 2026. Early submissions are encouraged. Skeo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Applications will be reviewed on a rolling basis until the position is filled. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability to or are unable to access or use this online application process and need an alternative method for applying, please contact HR@skeo.com for assistance.   Skeo’s Equal Opportunity (EEO) Policy Statement outlines its commitment to EEO for job applicants and employees, all of whom are protected under federal law from discrimination on several bases. Learn more about these protections from the following notices linked below: Skeo Notices Applications will be reviewed on a rolling basis until the position is filled. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability to or are unable to access or use this online application process and need an alternative method for applying, please contact HR@skeo.com for assistance. Skeo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Skeo’s Equal Employment Opportunity Statement outlines its commitment to equal employment opportunity for job applicants and employees, all of whom are protected under federal law from discrimination on several bases. Learn more about these protections by clicking on the following U.S. Department of Labor notices: Know Your Rights: Workplace Discrimination is Illegal Employee Rights Under the NLRA