At Johnson & Johnson,u202fwe believe health is everything. Our strength in healthcare innovation empowers us to build au202fworld where complex diseases are prevented, treated, and cured,u202fwhere treatments are smarter and less invasive, andu202fsolutions are personal.u202fThrough our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.u202fLearn more at jnj.com (https://www.jnj.com.). As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Business Intelligence Job Category: Professional All Job Posting Locations: Ettlingen, Germany Job Description: Job Description Johnson & Johnson Vision EMEA is recruiting for an EMEA Data Analytics Expert, located in Dublin or other major European hubs. For more than 130 years, diversity, equity & inclusion (DEI) have been part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Our commitment to respect the dignity and diversity of all is embedded in our Credo. Join the EMA Vision Care team in our mission to bring clear, comfortable and healthy vision. In this regional role, you will be part of the regional Commercial Center of Excellence for Data & Analytics, empowering datau2011based decisions to drive performance and redefining the ways we interact with our customers. You will play a key role building and deploying solutions to implement our data strategy and transforming analytics capabilities across the region. As a member of the EMA Commercial Center of Excellence for Data & Analytics, you will need to have a passion for data and be exceptionally strong at understanding, preparing, and operationalising commercial data using modern solutions, as well as creating data visualisations that make insights easy to interpret for business partners through innovative approaches. Key Responsibilities Guide, design, and deliver bestu2011inu2011class, actionu2011oriented BI dashboards with local commercial teams across EMEA. Act as the gou2011to person for existing regional data processes feeding regionally developed dashboards, including running, maintaining, and debugging existing data models and flows, and driving improvements to further automate processes. Support CoE analytics services in the design and further development of data pipelines from internal and external sources. Be responsible for commercial datau2011related processes and dashboard documentation, ensuring strong business continuity between business, IT, and region/local markets. Triaging and handling data & analyticsu2011related tickets and requirements submitted by local Business Intelligence analysts. Support processes for new data set acquisition, integration, and distribution. Ensure appropriate usage of data and controlled access. Establish and monitor data quality metrics, including adoption and usage tracking. Collaborate closely with colleagues on data validation and data coordination activities. This role will not have people management responsibilities. Qualifications Education: Degree in computer sciences, statistics, mathematics, or a related field preferred. Experience and Skills Required: Exceptional analytical skills with 3u20134 yearsu2019 experience in sales & marketing operations, business insights, or commercial analytics roles. Advanced experience with SQL including UPDATE, INSERT, MERGE operations, stored procedures, triggers, indexing, and performance optimisation. Experience with Python and/or R. Experience working with Postgres, Redshift, or SQL Server. Advanced experience with Alteryx and Tableau (desktop and server). Knowledge of software development processes including testing, version control, and Agile methodologies. Preferred: Experience building production-grade data engineering pipelines Experience with Databricks Required Skills: Preferred Skills: Accountability, Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Requirements Analysis, Communication, Data Analysis, Data Governance, Data Modeling, Data Privacy Standards, Organizing, Problem Solving, Statistical Analysis Systems (SAS) Programming, Systems Development, Technical Credibility, Technical Writing, Workflow Analysis