.As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every day to enable our customers to make the world healthier, cleaner, and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, ensuring our food is safe, or helping find cures for cancer.**Discover Impactful Work**:We seek an experienced data engineer/analyst to support end-to-end data analytics projects for the BID Digital Marketing Analytics Team. This engineer/analyst knows the entire data analytics life cycle very well, from the business and data understanding to the deployment, communication, and documentation of the reports. Still, deep analysis and curation of the full story are exciting and allow you to turn a complex analysis into a digestible and actionable story.You enjoy diving into the data, questioning results, addressing issues, enhancing, curating, and being creative with data in your daily work. However, you are also strategic-minded and offer suggestions and well-thought plans to enhance reporting and self-serve capabilities for the analytics team in the long term.Being astute at simplifying the sophisticated is a vital skill in this role. You should also have outstanding communication skills and be able to effectively communicate sophisticated processes and issues to other data engineers, analysts, and business partners.You will spend most of your time discovering ways to integrate new data sources and striving to assist the team in efficiently accessing cleansed and consistent data. You will be dealing with all kinds of data sources including commercial, operational, financial, and digital marketing data from a variety of systems and tools, including but not limited to Adobe Analytics, AWS Redshift, AWS Athena, MS SQL Server, IBM Cognos, Google BigQuery, PBI Service, MS Azure, Databricks, Etc., and your data sets will be diverse, (structured, semi-structured, unstructured), and at times complex. Still, your unique viewpoints, experience, and teammates will keep you grounded and help you navigate. You will be responsible for the QA check of the data/reports, ensuring alignment comparisons and data audits when necessary.Curiosity, critical-thinking, and persistence are key. Self-assessment, a continual growth mindset, striving for efficient, quality work, and willingness to continually improve your knowledge of new technologies (data tools and programming languages) is required, as the analytics field constantly changes.You also enjoy sharing your knowledge via brainstorming, mentoring, guidance, and documentation of standard processes from the analytics perspectives