• Partners to maintain and/or develop innovative methods to meet client information needs using design principles for creating meaningful displays of quantitative and qualitative data to facilitate effective business decision-making. • Follow consistent practices to ensure data integrity and deal with imperfections in data. • Effectively process structured data; proficiently integrate data sets from various sources; draw conclusions from data. • Collaborate with business stakeholders as needed to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams. • Analyze large amounts of information to discover trends and patterns; confidently draw conclusions from data and gain actionable insights from data. • Uses strong analytic skills working with various data and reports, generates analysis, draws conclusions, discovers insights and makes recommendations in line with the scope of work. • Creates descriptive reports that monitor metrics and outcomes. • Utilizes data proactively to uncover opportunities for improvement (including advanced techniques such as forecasting, optimization and data mining when appropriate) • Identify data requirements and address unforeseen data complexities to mitigate the impact on outcome and associated decisions. • Choose appropriate data visualization tools and adhere to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format; appropriate analytic methods used in the analysis. • Use of SQL/Snowflake/Databricks database to store, manipulate and query data for reporting to internal / external clients. • Monitors data & automated reports to assure quality & accuracy in reporting • Acts as contact for internal and external clients to provide education surrounding BSMH data and document adhoc analysis requests. • Communicates customer data & intel to leadership; supporting operational efficiency and effectiveness • Works with BSMH leaders to develop tools to maintain quality, productivity and identify opportunities for improvement. May assist in the development of the database.

• Develops, manages, and optimizes BI solutions, including data models, dashboards, and reports. • Acts as owner of company wide data warehouse in regard to maintenance, availability of systems data, and coordination of data integration engineers when needed. • Works with stakeholders, including cross departments, to gather and document requirements for BI projects, enhancements, and reporting. • Utilizes data visualization, statistical analysis, and reporting skills to present data to stakeholders in a meaningful way. • Uses data analysis techniques to extract information and identify patterns or trends. • Builds reports and reconcile to system data, on both a regular cadence and ad-hoc requests. • Develops and maintains documentation of data sources, models, and processes. • Provides training and support to end-users on BI tools and reports. • Stays current with BI industry trends and best practices. • Applies basic development skills working with Python, SQL Queries, etc. to extract business insights around finance, business operations and more. • Analyzes data and uses problem-solving skills to present key insights and recommendations to various stakeholders. • Utilizes ticketing and project management software to set, meet, and communicate deadlines and progress on assigned projects.

• 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.