Role: microsoft fabric analytics engineerrequired qualifications prior analytics experience in a research or analytics-driven environment, preferably supporting clinical research teams and working with clinical electronic data capture (edc) data and related medical or pharmaceutical datasets. Hands-on experience with data visualization and bi platforms, such as power bi, tableau, or looker. Strong programming and data-modeling experience, preferably including sql, python, power query (m), and dax, with the ability to write performant, maintainable, and well-structured code. Experience designing and delivering end-to-end analytics solutions, including data ingestion, transformation, modeling, and visualization. Proven ability to work independently in a contractor setting, effectively managing time, priorities, and deliverables with minimal oversight. Ability to quickly learn new tools, data domains, and technical concepts and apply them effectively in a fast-paced, delivery-focused development environment. Exceptional communication skills, with demonstrated experience: translating ambiguous or high-level business, research, or clinical requirements into clear technical designs and analytics deliverables proactively engaging stakeholders to clarify requirements, validate assumptions, and communicate progress, risks, and trade-offs explaining technical concepts and analytical outputs clearly to non-technical audiences strong experience with source control systems (e.g., git, azure devops, github), including: managing branches, pull requests, and code reviews versioning analytics code, microsoft fabric notebooks, and data transformation logic adhering to team standards for change management and deployment strong documentation practices, including the ability to produce clear technical documentation, data definitions, and usage guidance to support solution handoff and long-term maintainability. Nice-to-have - preferred qualifications prior hands-on experience with microsoft fabric, including lakehouse, data warehouse, data pipelines, notebooks, and semantic models. Microsoft certified: fabric analytics engineer associate (dp-600) or an equivalent microsoft analytics certification. Experience building and maintaining etl/elt processes using microsoft fabric notebooks (e.g., pyspark, spark sql) for large or complex datasets. Familiarity with data governance, security, and compliance considerations in regulated or research-focused environments.