• Analyze data processes to understand, document, and revise those processes • Analyze, clean, and study data to achieve specific project outcomes • Lead discovery, requirements gathering, and analysis sessions with clients to understand data needs • Translate client data requirements into actions that support the development of data solutions • Work within project teams, typically consisting of 3–5 people, to deliver client data projects • Establish patterns and best practices for data analysis, transformation, cleansing, and requirements translation • Identify and support data governance policies and procedures to ensure data confidentiality, integrity, and availability • Stay current on emerging technologies and recommend improvements to data management and analytics capabilities

Requisition ID: 65581 Title: Data Analyst (remote) Salary Range: Salary Minimum: $70,000.00 Salary Maximum: $80,000.00 Arthrex is a global medical device company and leader in orthopedics medical education. With a corporate mission of Helping Surgeons Treat Their Patients Better™, Arthrex has pioneered the field of arthroscopy and develops more than 1,000 innovative products and procedures each year that support all aspects of orthopedics. The Medical Education department based in Naples, Florida is made up of over 20 physicians, physician assistants and other healthcare professionals. Arthrex is actively searching for a Data Analyst to join the Medical Education team. The successful candidate will work alongside a department of expert orthopedic healthcare professionals, world class faculty, and product management. Main Objective: As a Data Analyst in the Medical Education Technology Division, you will play a pivotal role in transforming data into actionable insights. Collaborating with Medical Affairs and business partners, you will deliver critical insights and support data-driven decision-making. As a data analytics and visualization specialist, you will enhance data utilization through intuitive tools, dynamic dashboards, and advanced analytics, ensuring relevant information is efficiently gathered, shared, and interpreted. Join our team and contribute to shaping the future of medical education at Arthrex. The Data Analyst will support and participate in the planning and execution of data analysis efforts for Medical Education Technology programs. Essential Duties & Responsibilities: - Collaborate with the Medical Education Technology Division and key stakeholders on data reporting and analytics needs. - Develop data reports and BI/analytic solutions using platforms like Intellum, Planhat, Databricks, and PowerBI. - Identify key drivers, trends, and patterns by analyzing KPIs and complex data sets. - Continuously improve skills in software engineering, data analysis, and data visualization. - Support key projects and critical activities for the Medical Education Technology Division. - Ensure the highest standards of quality assurance and data validation. - Document current processes and models to identify potential improvements. - Design, build, and maintain secure, scalable integrations between internal systems and third-party platforms using APIs, webhooks, and middleware tools. - Translate business workflows into technical integration requirements, including data mapping, field definitions, validation rules, and sync frequency. - Configure and support automated data flows between systems (e.g., UserPilot, Planhat, Intellum, Databricks), ensuring accuracy and reliability. Knowledge/Skills: - Basic knowledge and skills in data analysis, data visualization, and software development. - Proficiency with data management platforms (Databricks), data analytics tools (PowerBI), customer platforms (Planhat), and learning technologies (Intellum). - Basic understanding of data analysis and software engineering principles, theories, and standards. - Good working interpersonal, oral, written, and business communication skills. - Ability to function effectively as a secondary contact for internal project teams and external clients with guidance from senior staff. - Good working organizational skills and attention to detail and accuracy. - Good working ability to prioritize and execute multiple concurrent tasks/projects on time, delivering quality results. - Capability to work both collaboratively and autonomously with a strong work ethic and positive attitude. Experience Education Required: - Basic experience managing and analyzing performance data in academic or non-academic organizations. - Experience with PowerBI, Databricks, Intellum, and Planhat preferred. - Experience with C++, Python, SQL, and JavaScript preferred. - Experience collaborating with multi-functional teams and subject matter experts preferred. - Experience building reports and analytical tools for both technical and non-technical audiences preferred. - Bachelor’s Degree required, preferably in Software Engineering, Computer Science, Data Analytics, or similar. - Technical certifications or professional development related to AI, Data Analytics, or similar preferred. Arthrex Benefits - Medical, Dental and Vision Insurance - Company-Provided Life Insurance - Voluntary Life Insurance - Flexible Spending Account (FSA) - Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness) - Matching 401(k) Retirement Plan - Annual Bonus - Wellness Incentive Program - Gym Reimbursement Program - Tuition Reimbursement Program - Trip of a Lifetime - Paid Parental Leave - Paid Time Off - Volunteer PTO - Employee Assistance Provider (EAP) All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law.

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world. Program Eligibility: - Currently enrolled at an accredited two or four-year college/university in the United States, pursuing an undergraduate, graduate and/or law degree   - Graduating between Spring 2026 - Fall 2028  - Have access to housing and transportation within the designated city (We do not offer housing or transportation accommodations) - Legally authorized to work in the United States and will not require sponsorship for employment visa status, now or in the future (e.g., H1-B, OPT, etc.) - Commit to 20 - 40 hours per week (based on individual business area)  2026 Summer Internship Program Dates: June 8th, 2026- August 14th, 2026 Data & Analytics - Global eCommerce & Audience Analytics/Reporting (Remote): How You’ll CREATE: Our team manages a variety of eCommerce and marketing reporting products, tools, and dashboards for a variety of business users. Our mission is to build compelling reports to drive meaningful action across our varied list of central teams and labels, and partner with other relevant teams (tech, data science, etc.) to find opportunities to enhance our capabilities and empower teams to make more data-informed decisions. - Serve a key role in the development of various reporting products/dashboards, helping to craft the technical approach and deliverable aligned with business objectives - Foster relationships with other labels, marketing, eCommerce, and operations teams to gather, scrutinize, and document business requirements - Design advanced, compelling, actionable data visualizations for a variety of different stakeholder groups - Help drive enterprise-wide product engagement and adoption via regular data QA and troubleshooting - Leverage your data-oriented mindset, instincts, and curiosity to identify the signals, trends and meaningful information from an array of datasets - Actively innovate and enhance our suite of tools to maintain a best-in-class service offering Ideal candidates will have: - Minimum 2-3 years of direct experience in data analytics/reporting - Strong proficiency in SQL with proven ability to write complex queries to analyze data - Experience in customizing and managing BI tool frontend environments (Looker is a huge plus) - Ability to craft actionable and compelling stories from large/disparate datasets and make complex concepts/analysis easy to understand - Be a critical thinker who values the importance of always putting data into the appropriate context - Must love music! Disclaimer: This job description only provides an overview of job responsibilities that are subject to change. Universal Music Group is an Equal Opportunity Employer We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah. For more information, please click on the following links. E-Verify Participation Poster: English / Spanish E-Verify Right to Work Poster: English | Spanish Job Category: Internships Salary Range: $15-$20 per hour The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.

• Analyze the wide range of data generated by Pix features, identifying patterns, trends, and behavioral deviations. • Develop and maintain monitoring dashboards and alerting systems to support decision-making and prevent operational risks. • Work directly with regulatory indicators (ANs, IGAM, IGAT, timeout index), ensuring full adherence to the Transaction Timing Manual and other BACEN (Brazilian Central Bank) regulations. • Support the creation of predictive models and advanced statistical analyses for anomaly detection and recommendations for operational improvements. • Collaborate with business areas and technical teams to translate raw data into strategic insights and actionable plans. • Explore and apply Generative AI (LLMs) in use cases focused on data analysis, report automation, and optimization of internal processes. • Participate in software development projects centered on data, ensuring quality and observability of environments. • Execute ETL processes and maintain pipelines in Data Lake environments and high-availability architectures.