Data & Analytics Specialist (French Speaker)

Data & Analytics Specialist (French Speaker)

Purpose:

The Data & Analytics Specialist is a hands‑on operational role responsible for supporting the reliable, accurate, and timely flow of data that powers business decisions, commercial intelligence, and AI enablement. The role focuses on the execution of data quality tasks, vendor feed monitoring, reporting support, business rule maintenance, and process documentation – contributing to the team’s ability to deliver trusted, activation‑ready data at scale.

This role represents the evolving business data analyst – moving beyond static reporting toward ensuring data flows, quality, and structure are robust enough to support both human decision‑making and AI‑driven intelligence. The specialist supports hands‑on data work (analytics requests, business rule updates, issue resolution, vendor feed coordination) while building capability in making data AI‑ready and leveraging AI tools in daily operations. They develop business context – learning what the data means commercially – while building the technical fluency to work across platforms, taxonomies, and data pipelines.

Scope (global, regional or local): Global / Local

Key Tasks / What You’ll Do

• Support the coordination and monitoring of data deliveries from self‑service analytics (SSA) platforms and external vendors – checking timeliness, completeness, and format compliance – and escalating gaps, anomalies, or issues to senior team members.
• Maintain and update business rules, mapping logic, taxonomies, and classification standards under guidance – ensuring they reflect current market realities and are structured for both human and machine consumption.
• Investigate and help resolve data quality issues – supporting root cause analysis, implementing corrective actions, and documenting resolutions for future prevention.
• Support analytics and BI reporting requests – preparing data, validating outputs, assisting with Power BI dashboard maintenance, and ensuring reports reflect accurate and timely information.
• Assist with local market data requests and ad‑hoc analytical needs – acting as a supporting link between market teams, global data platforms, and cross‑functional stakeholders.
• Flag opportunities to transition recurring manual requests into self‑service reporting or automated delivery.
• Prepare and structure data for AI use cases – ensuring datasets are clean, well‑labelled, and documented with the context AI models need to interpret them accurately, with growing consideration for how attributes will be consumed by AI models.
• Support the operationalization of AI products – assisting with data validation, output testing, and feedback loops under the direction of senior specialists.
• Use AI tools (e.g., Copilot, GenAI assistants, n8n, automation scripts) in daily work to increase efficiency and reduce manual effort – developing fluency in AI‑augmented operations.
• Identify potential automation opportunities within data operations – flagging where AI or rule‑based automation could replace repetitive manual tasks in mapping, validation, and quality checks.
• Create and maintain operational documentation – including process SOPs, mapping logic, vendor feed specifications, and troubleshooting guides – written with clarity and structure that supports both human users and AI system context layers.
• Support onboarding of new team members and contribute to continuous improvement by flagging recurring issues and suggesting process enhancements.

Key Working Relation

• Global / Local Team
• Local/Regional Business Teams & Stakeholders
• IT / Data Engineering & Data Science teams
• External Data Providers (e.g., IQVIA, NielsenIQ, GfK, Euromonitor)
• Commercial Analytics & BI users
• AI / Digital Innovation teams

Qualification & Competencies

• Bachelor’s degree in Business, Economics, Data Analytics, Information Management, or related field.
• 1–3 years of experience in data operations, data quality, business analytics support, or commercial data analytics – experience in FMCG, Consumer Health, or Pharmaceuticals is a plus but not required.
• Some exposure to syndicated market data (IQVIA, NielsenIQ, GfK) or willingness to learn – including familiarity with data structures, delivery formats, and common quality issues.
• Basic experience or understanding of data mapping rules, product matching logic, and classification standards.
• Good analytical and problem‑solving skills – ability to investigate data issues methodically and support resolution.
• Proficiency in Excel (advanced formulas, pivot tables, data manipulation); good knowledge of SQL, Power BI, or similar tools is a plus.
• Strong personal drive to explore, test, and use AI tools, systems, and automation approaches in daily work – with a proactive habit of experimenting and learning.
• Interest in automation concepts (e.g., scripting basics, workflow tools, AI‑assisted data processes, prompt engineering fundamentals).
• Detail‑oriented with good organizational skills and ability to manage multiple tasks with appropriate prioritization.
• Ability to create clear process documentation and follow established SOPs.
• Good communicator – able to work across cultures and functions, explain data issues clearly to colleagues and stakeholders.
• Self‑motivated, reliable, and comfortable working in a global, matrixed environment with remote collaboration.
• Growth mindset – views AI as a learning opportunity and actively seeks to integrate AI into personal workflows.
• Fluent in French and English required; additional languages are a plus.

Location: Spain : Cataluña : Barcelona

Division: Enabling Functions

Reference Code: 875474

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.