Data Analyst II

As a Data Analyst II at Thermo Fisher Scientific, you will play a crucial role in transforming complex data into actionable insights that drive strategic business decisions. Your responsibilities will include collaborating with cross-functional teams to gather requirements, analyze data, and develop scalable solutions using advanced analytics tools. By combining technical expertise with business acumen, you will contribute to achieving the company's mission of enabling customers to make the world healthier, cleaner, and safer. Key Responsibilities: - Design, build, and maintain scalable data pipelines for both structured and unstructured commercial data. - Develop and optimize ETL/ELT processes using Python, SQL, and orchestration tools such as Airflow. - Automate data workflows and integrations across various systems including sales, finance, pricing, and operations. - Drive the integration of ChatGPT and LLM activities through scalable prompt-driven development workflows, and operationalize AI-assisted engineering projects. - Design and implement data marts and scalable data architectures, applying dimensional modeling techniques such as star and snowflake schemas. - Integrate data from CRM systems, financial systems, and other enterprise platforms, ensuring data consistency and governance. - Partner with analysts and data scientists to deliver clean, reliable datasets and support advanced analytics initiatives. - Lead complex data projects from design through delivery, collaborating with IT, sales, finance, and analytics teams. Qualifications Required: - 4-5+ years of experience in data engineering or analytics engineering. - Strong proficiency in SQL (advanced queries, performance tuning) and Python (data processing, automation). - Experience with data warehousing, such as Redshift and AWS. Thermo Fisher Scientific is dedicated to enabling customers to make the world healthier, cleaner, and safer, and as a member of our team, you will have the opportunity to contribute to this mission while developing your skills and expertise in the field of data analytics. As a Data Analyst II at Thermo Fisher Scientific, you will play a crucial role in transforming complex data into actionable insights that drive strategic business decisions. Your responsibilities will include collaborating with cross-functional teams to gather requirements, analyze data, and develop scalable solutions using advanced analytics tools. By combining technical expertise with business acumen, you will contribute to achieving the company's mission of enabling customers to make the world healthier, cleaner, and safer. Key Responsibilities: - Design, build, and maintain scalable data pipelines for both structured and unstructured commercial data. - Develop and optimize ETL/ELT processes using Python, SQL, and orchestration tools such as Airflow. - Automate data workflows and integrations across various systems including sales, finance, pricing, and operations. - Drive the integration of ChatGPT and LLM activities through scalable prompt-driven development workflows, and operationalize AI-assisted engineering projects. - Design and implement data marts and scalable data architectures, applying dimensional modeling techniques such as star and snowflake schemas. - Integrate data from CRM systems, financial systems, and other enterprise platforms, ensuring data consistency and governance. - Partner with analysts and data scientists to deliver clean, reliable datasets and support advanced analytics initiatives. - Lead complex data projects from design through delivery, collaborating with IT, sales, finance, and analytics teams. Qualifications Required: - 4-5+ years of experience in data engineering or analytics engineering. - Strong proficiency in SQL (advanced queries, performance tuning) and Python (data processing, automation). - Experience with data warehousing, such as Redshift and AWS. Thermo Fisher Scientific is dedicated to enabling customers to make the world healthier, cleaner, and safer, and as a member of our team, you will have the opportunity to contribute to this mission while developing your skills and expertise in the field of data analytics.