• Be a Trusted Strategic Advisor: Act as a direct analytical partner to senior leadership and executive management. You will spend a significant portion of your day in an advisory role, translating complex data findings into clear, leadership-level recommendations and partnering across business units to drive changes in strategy. • Proactive Value Capture: Do not wait for questions to be asked. You will proactively hunt for opportunities to optimize business performance, increase efficiency, and capture untapped value, then work hand-in-hand with teams across the organization to execute on those opportunities. • Rapid, Scripted Analytics & EDA: Perform deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks to diagnose business trends, test complex hypotheses, and discover hidden relationships in our data. • Modern Interactive Reporting: Build and maintain streamlined, interactive data tools using Python and Streamlit, and design high-impact, BigQuery-connected Google Sheets to deliver self-service data directly into the workflows of business leaders. • Analytical Workflow Automation & AI Integration: Actively integrate modern AI assistant technologies and secure automation practices into your day-to-day analytics workflows. You will utilize model-driven tools to accelerate code generation, optimize SQL queries, and automate repetitive data exploration tasks safely and efficiently. • Data Assembly & Quality: Gather, clean, and model data from various sources using optimized Python, SQL, and dbt, ensuring absolute consistency and accuracy. • Evaluate & Produce Quality: Ensure the integrity of our analytical output. You will participate in peer reviews of SQL queries, Python scripts, and analytical methodologies to keep our standards high.

• Apply quantitative methods and techniques to manage, analyze, and interpret research data. • Construct, clean, and document large datasets for both internal use and project-specific needs. • Create customized, presentation-quality reports based on data analysis results. • Contribute to the design and methodology of research studies. • Manage administrative components of projects to ensure smooth execution. • Assist in the preparation of technical procedures, documentation, and reports. • Write, compile, and edit assigned sections of proposals and project deliverables. • Review work products to ensure accuracy, clarity, and consistency of content.

• Lead the design and implementation of data and information architecture • Sustain & troubleshoot PowerBI dashboards • Collaborate with Customer Solutions teams • Investigate reporting issues • Monitor use of reports and dashboards

• Analyze scientific and operational data to support Data Surveillance process • Review project-specific Quality Tolerance Limits • Assist in developing Data Surveillance Plans (DSPs) • Conduct defined project reviews • Attend internal and external Data Surveillance meetings, presenting relevant findings to the project team • Support the development of a robust Data Surveillance Plan • Configure and maintain Data Surveillance technologies (e.g., CluePoints Central Monitoring Platform) • Review relevant data to support reviews per the project specific Data Surveillance Plan • Document findings from Data Surveillance activities • Provide feedback and collaborate with technology teams • Identify potential data quality trend, outliers and emergent issues • Participate in Investigator and other external/internal meetings and audits & regulatory inspections • Recognize impact of study non-compliance/issues/delays/data quality signals and communicate promptly