• Perform full tagging of the app, web pages, and e-commerce. • Ensure correct parameterization of links, campaigns, and partner media tags (DMP, Facebook Pixel, Google Ads). • Validate development cards/tickets and fix tagging bugs in staging and production environments. • Assist in resolving operational questions about the Data Layer. • Support compliance audit processes related to LGPD (Brazilian General Data Protection Law) and user privacy in the digital environment.

Role Description We currently have a vacancy for a Data Analyst (Power BI, ML) fluent in English, to offer his/her services as an expert remotely (within EU). In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. - Evolutive maintenance of Power BI dashboards; - Gather requirements from Business Units, implement improvements, new data loads and refreshes for all datasets included; - Maintain and upgrade the Data Gateway connections; - Evolutive maintenance of the data pipeline classification in Python; - Train and deploy machine learning models in a production environment, monitor performance and make improvements as needed; - Apply machine learning to improve the quality of data or products and deploy data tools in data analysis; - Define, implement and monitor security plans, vulnerability scanning, penetration testing, risk management, security audits, security operations and incident response; - Provide guidance and support to users, follow up on incidents and user requests, write user manuals and IS on-line help for Information Systems, prepare and provide training on Information systems. Qualifications - University degree in IT or relevant discipline, combined with minimum 4 years of relevant working experience in IT; - Experience with programming languages (e.g. Python, R); - Experience with data visualization tools (e.g. tableau, Power BI) or software frameworks to process Big Data (e.g. Spark, Databricks, Splunk, Hadoop); - Experience with AI platforms, tool kits and techniques (e.g. TensorFlow, Keras, PyTorch, CNTK, Scikit, Retrieval-Augmented Generation (RAG)); - Experience with gathering requirements from Business Units; - Experience in implementing connections to new data sources, data cleaning, testing; - Experience in creation of new AI prompts to improve classification accuracy; - Experience in documentation of changes; - Excellent command of the English language. Benefits - We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. - All applications will be treated as confidential. Company Description EUROPEAN DYNAMICS (www.eurodyn.com) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.

• Design, develop, and maintain complex HR reports, dashboards, and visualizations using UKG and IBM Cognos Analytics • Analyze workforce, compensation, turnover, compliance, and operational HR data to identify trends and insights • Translate ambiguous business requirements into scalable, repeatable reporting solutions • Ensure accuracy, consistency, and integrity of HR data across all reporting outputs • Develop executive-ready dashboards and visualizations using Power BI and UKG reporting tools • Apply data visualization best practices to present complex information clearly and effectively • Create visual narratives that enable HR Business Partners, HR leadership, and HRIS team members to understand reporting requirements and recommend analytical solutions • Standardize reporting layouts and visualization approaches where appropriate • Partner closely with HR Business Partners to understand reporting needs and analytical questions • Serve as a consultative resource for interpreting HR data and explaining insights to non-technical audiences • Collaborate with HRIS team members to align reporting outputs with system configuration and data structures • Act as a subject-matter expert for advanced UKG reporting and analytics capabilities • Support continuous improvement of HR reporting processes, documentation, and report inventories • Perform data validation and quality assurance to ensure the accuracy and integrity of HR Reporting

Title: Data Science - Analyst 3 Location: Hybrid San Jose, CA time type Full time job requisition id R0074719 At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: Our team helps shape the future direction of eBay by defining where we play, how we win, and how we create differentiated experiences for our customers. We focus on deeply understanding the needs of core buyers and translating those insights into strategies that strengthen eBay’s position in the market. To bring that strategy to life, we partner closely with Product, Technology, and regional business teams across the end-to-end customer experience. Within this space, the View Item team plays a critical role in the buyer journey by helping customers evaluate products and make confident purchase decisions. As a Data Science Analyst supporting this domain, you will apply advanced analytics, experimentation, and machine learning to inform product strategy and influence roadmap decisions. This is a high-impact role for someone who combines strong technical depth with strategic thinking and brings a passion for improving the e-commerce experience at scale. What you will accomplish: - Shape the View Item product roadmap by delivering insights and analytical thought leadership that influence product, engineering, and business decisions. - Define and own success metrics, measurement frameworks, and experimentation roadmaps for key View Item product areas, helping the team make faster and more confident decisions. - Apply advanced statistical methods and machine learning techniques to solve complex, ambiguous product and marketplace problems with meaningful buyer and revenue impact. - Design, execute, and interpret A/B tests and other causal measurement approaches to evaluate product changes and identify opportunities to improve the buyer experience. - Develop forward-looking analytical approaches, including predictive and experimental models, to better understand customer behavior and guide long-term product strategy. - Partner cross-functionally with senior stakeholders across Product, Engineering, and Business teams to translate complex findings into clear recommendations that improve buyer and seller outcomes at scale. What you will bring: - 3–5 years of experience in analytics, data science, or a related quantitative field, ideally supporting product decisions in an e-commerce or consumer technology environment. - Strong hands-on proficiency in SQL and one or more analytical programming languages such as Python or R, with experience turning large-scale data into actionable insights. - Experience applying statistical methods, experimentation, and machine learning techniques to real business problems, including descriptive and inferential analysis and predictive modeling. - Familiarity with modern machine learning frameworks and approaches such as ensemble models, deep learning, or transformer-based methods; experience with site experimentation is a plus. - Demonstrated ability to connect insights to product growth opportunities, think critically in ambiguous environments, and influence decisions through data-driven recommendations. - Strong communication skills and a solid quantitative foundation, with a bachelor’s degree or equivalent experience in a field such as Computer Science, Mathematics, Economics, Physics, or Engineering; advanced study is a plus. Additional Details The base pay range for this position is expected in the range below: $127,600 - $170,300 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.