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Senior Data Analyst - Finance & Controlling Data
  • Warsaw
Senior Data Analyst - Finance & Controlling Data
Warszawa, Warsaw, Masovian Voivodeship, Polska
Digital Hub Warsaw at Bayer
3. 3. 2026
Informacje o stanowisku

Senior Data Analyst – Finance & Controlling Data Miejsce pracy: Warszawa Technologies we use Expected SQL Python Operating system Windows About the project Are you ready to make a significant impact in the world of data analytics and data management? We are seeking a talented Senior Data Analyst to become a vital part of our dynamic Data Assets, Analytics, and AI Platform at Bayer Consumer Health. In this role, you will play a pivotal role in building and maintaining our core data assets across various domains, ensuring their completeness, semantics and quality. You will work closely with data owners, product managers, data engineers, data architects, data stewards, data governors and data scientist to enable our data analytics solutions, enhance the strategic value of our data assets and enable cutting-edge AI solutions and support data-driven decision-making. If you’re passionate about transforming data into actionable insights and eager to collaborate with a forward-thinking team, we want to hear from you! Your responsibilities Lead the squad responsible for the development and operations of the core finance & controlling data asset, consisting of other data analysts, data engineers, data architect and data stewards. Develop the strategy and roadmap of collecting and utilizing analytical data in Bayer Consumer Health in the finance & controlling space. Coordinate the operationalization and implementation of this roadmap. Own the quality and completeness of finance & controlling data for the purpose of consumption in analytics, advance analytics and Agentic AI use cases. Serve as a liaison between technical teams and business stakeholders to ensure data assets meet both business requirements and technical standards. Co-develop data strategy and governance frameworks. Proactively identify new datasets from across the organization and collaborate with data architects and data engineers to integrate them into the consumer data asset Define transformation logic and enrich data to create valuable KPIs and features in the consumption layer. Develop and maintain clear semantics and metadata for data assets, ensuring that all data is well-documented and easily understandable. Ensure data quality, availability, and completeness through implementation of quality checks, validation processes, and continuous monitoring in collaboration with data architects and data engineers. Serve as the primary point of contact for users of data assets, providing guidance and support to help them understand and utilize the data effectively. Analyze complex datasets to extract actionable insights that streamline the development of analytics and AI solutions. Become a go-to expert for finance and controlling data. Our requirements Masters degree in Statistics, Computer Science, Data Management, Data Science or a related field. 5 years of experience as a Data Analyst or Data Steward, preferably within the consumer-packaged goods, FMCG, pharmaceutical or healthcare industry. Strong knowledge of data management principles, data quality frameworks, and metadata management practices and tools. Understanding of data lineage and data cataloging concepts. Business acumen in the area of financial analysis. Familiarity with SAP CO, FI, & SD Modules. Experience of SAP BW / SAP HANA is a plus. Experience with data manipulation and analysis using Azure Databricks, SQL and Python. Familiarity with relational databases (PostgreSQL, MSSQL) and data modelling. Excellent analytical and problem-solving skills with a keen attention to detail. Strong understanding about data compliance & security standards such as data privacy regulations (GPDR, HIPAA), EU AI Act, management of confidential data, Insider Trade Law and experience with measures to mitigate data risks. Strong communication skills, with the ability to present complex data in a clear and understandable manner. Interest and experience with AI tools supporting data analysis and stewardship is a plus. Experience with preparing data for AI solutions (e.g. traditional machine learning models, AI Agents) is a plus. Experience in IT product management is a plus. Ability to work collaboratively in a team-oriented environment. Fluent in English, both written and spoken. What we offer A flexible, hybrid work model Great workplace in a new modern office in Warsaw Career development, 360° Feedback & Mentoring programme Wide access to professional development tools, trainings, & conferences Company Bonus & Reward Structure VIP Medical Care Package (including Dental & Mental health) Holiday allowance ("Wczasy pod gruszą") Life & Travel Insurance Pension plan Co-financed sport card - FitProfit Meals Subsidy in Office Additional days off Budget for Home Office Setup & Maintenance Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs Tailored-made support in relocation to Warsaw when needed Please send your CV in English Benefits sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time dental care retirement pension plan no dress code video games at work coffee / tea parking space for employees pre-paid cards employee referral program extra leave Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s). Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Digital Hub Warsaw at Bayer At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez BAYER sp. z o.o. z siedzibą w: Aleje Jerozolimskie 158, 02-326 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu. Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: katarzyna.olejniczak.ext@bayer.com.

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