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Data Quality and AI Readiness Product Analyst Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción. Location: Barcelona, Spain Are you passionate about data integrity, governance, and enabling the next generation of AI-driven capabilities? Join Sanofi in one of our corporate functions and play a pivotal role in safeguarding the quality, consistency, and reliability of global Human Capital data. As a Data Quality and AI Readiness Product Analyst within Data Governance & Master Data Management, you will sit at the intersection of data governance, Human Capital technology, and process excellence — driving proactive risk management, resolving global data issues, and ensuring our data is ready to power both operational decisions and AI-driven innovation. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities Assess and document the downstream impact of data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs Conduct structured root cause analyses to distinguish between isolated data errors and systemic issues requiring process or configuration-level intervention Partner closely with the Global Process Owner (GPO) and Workday Technology teams to define and implement structural fixes, whether through process redesign, system configuration changes, or governance policy updates Serve as a bridge between data operations and technical teams, translating business data quality requirements into actionable technical specifications Prepare, validate, and execute data correction actions and remediation loads in compliance with data governance standards and change management protocols Monitor the ongoing adoption of global HR data standards across regions, business units, and functional teams Proactively detect and flag the re-introduction of local deviations, non-standard values, or workarounds that undermine global data consistency Identify and elevate risks to data consistency, AI readiness, and global reporting accuracy at the earliest possible stage Support organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering, and data profiling Design, build, and maintain automated data validation routines and anomaly detection scripts to reduce reliance on manual data quality checks Produce clear, structured investigation outputs following a consistent framework: Issue → Root Cause → Risk → Recommendation About you 3–5 years of experience in data quality, data governance, HR data management, or a related analytical role Demonstrated experience working with Workday HCM or comparable enterprise HR platforms (Workday certification or formal training highly valued) Proven track record of conducting data investigations and delivering structured, actionable findings Experience working in a global, matrixed organization with cross-functional stakeholders Proficiency in data analysis tools such as Excel/Power Query, SQL, or equivalent Experience with Workday reporting, calculated fields, and data auditing capabilities Familiarity with data remediation processes, including mass data loads and EIB (Enterprise xohynlm Interface Builder) or equivalent Understanding of HR data domains: employee records, organizational structures, compensation, payroll inputs, and workforce reporting Exposure to AI/ML data readiness concepts and understanding of how data quality impacts model performance Experience with data quality platforms or monitoring tools (e.g., Informatica, Collibra, Ataccama, or similar) Experience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes Knowledge of GDPR, data privacy regulations, and their implications for HR data management Strong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision Strong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership Strong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT Degree in Information Systems, Data Management, Human Resources, Business Administration, or a related field #J-18808-Ljbffr

TFL is producing speciality chemicals for the leather industry and related industries on a global scale. TFL offers innovative products and solutions to tanneries, leather processing companies, coaters and other industries, always striving to introduce innovative chemicals and application methods to the market. Our business activities comprise of the development, production and marketing of specialty chemicals such as tanning agents and dyestuffs, which enable our customers, to create an attractive final article. Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación. Our industry experts are serving customers in their daily business; we understand their thinking, needs and every day-challenges. Our deep knowledge in application technology allows us to add value to their final articles. Position purpose The Customer Service EMEA will be providing frontline support to customers by processing customer orders, resolving complaints, and ensuring a positive customer experience. The role includes managing both in-person and remote communications, maintaining accurate records, and supporting overall service operations. This function plays an important role in enhancing customer satisfaction. Primary Responsibilities and Accountabilities • Serve as the first point of contact for customers, • Respond to customer inquiries, requests, and complaints in a timely and professional manner, • Provide accurate information about products, services, policies, and procedures, • Handle and resolve customer issues or escaly complex cases to appropriate departments, • Maintain Order to Cash process:, • receive and book sales orders in SAP,, • create deliveries and shipments,, • invoice handling incl. soliciting payments, • Maintain master data such as sales conditions and customer information in SAP, • Communication with customers including price offers and declarations, • Handle customer claims in quality system (open – verify – manage xcskxlj actions – communicate – closure), • Support TFL Spain activities Your Background • Bachelor’s degree in foreign trade or equivalent professional experience, • Fluent English and Arabic (written and spoken), German and French are a plus, • Good communication skills with proven track record of various customer contacts, • Proactive personality with the ability to work in a global team set‑up, • Excellent organizational skills, accuracy, and attention to detail, • Experienced user in MS Office Applications and all relevant order-to-cash SAP transactions #J-18808-Ljbffr

Jobgether in Spain seeks a Full-stack Growth Engineer to build and scale a product-led growth strategy from the ground up, owning the self-service journey from onboarding to activation and conversion.You will partner across product, engineering, design, marketing and sales to design experiments, opt

Photoroom is seeking a Senior Product Manager to own the self-serve SMB experience across Shopify and beyond.

Jobgether in Spain seeks a Full-stack Growth Engineer to build and scale a product-led growth strategy from the ground up, owning the self-service journey from onboarding to activation and conversion.You will partner across product, engineering, design, marketing and sales to design experiments, opt

Elastic, the Search AI Company, is seeking a Product Manager to lead self-service cloud growth, focusing on onboarding and trial experiences to drive successful adoption of Elastic Cloud.You will shape the vision, collaborate with engineering and product teams, and translate customer feedback into f