• Design, deliver, and maintain interactive, study-level data visualizations that support Medical Data Review (MDR) and safety signal detection • Create standardized yet customizable data visualization templates • Provide study teams with high-impact graphical tools to support early development decision-making • Serve as a partner and point of support for clinical scientists, offering training and ongoing consultation • Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection • Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints • Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones • Support documentation and quality control of visualization deliverables to ensure traceability and compliance • Participate in training sessions and incorporate feedback from experienced Real-time Visual Analytics Specialists • Address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility.

• Gather, analyse and document business requirements for dashboards and analytical use cases • Translate business needs into data models, transformation logic and dashboard designs • Design and implement data transformations across Data Lake layers (RAW → TRUSTED → REFINED) • Develop and maintain data pipelines using PySpark and Python • Ensure data quality, consistency and compliance with data governance standards • Build, test and deploy datasets, analyses and dashboards in AWS QuickSight • Collaborate with Data Stewards, IT teams and business stakeholders • Support UAT, user training and adoption of self-service analytics

• Join a small Business Intelligence team working within Operational Support • Interrogate data in Google Big Query and develop data pipelines for analysis and reporting • Build a portfolio of reports and dashboards using Looker Studio • Ensure business alignment, active adoption and trust in numbers • Curate trusted data models to enable self service analytics • Manage the access and distribution of reports • Adopt best practice data management techniques • Be accountable for servicing information to our operations managers and team leaders

Role Description The Senior Data Analyst will work closely with Data, Technology, and Operational teams to analyze complex healthcare datasets, develop analytical models, and generate actionable insights that inform internal products, client solutions, and strategic decisions. This role plays a key part in shaping how clinical and administrative data are ingested, curated, and leveraged across the organization. The Senior Data Analyst collaborates with engineering, product, and subject matter experts to develop scalable analytics, ensure data quality, and support data-driven decision-making. The ideal candidate combines strong analytical and statistical skills with a deep understanding of healthcare data, regulatory context, and business impact. - Analyze and interpret large-scale healthcare datasets (e.g., claims, EHR, FHIR, registries) to identify trends, outliers, and key performance indicators that inform clinical, operational, and strategic initiatives. - Lead complex analytical efforts to evaluate healthcare performance, utilization patterns, and program outcomes across diverse datasets. - Collaborate with data engineers, product managers, and domain subject matter experts to define data requirements, metrics, and quality controls that support reliable analytics and reporting. - Build and maintain curated datasets, data models, and dashboards for internal and external stakeholders using SQL, Python, or business intelligence tools. - Design and execute advanced analyses for clinical, operational, and policy use cases, including cohort definitions, utilization patterns, quality measurement, and risk stratification. - Develop and document business rules for data standardization, mapping, and transformation to support consistent and scalable analytics. - Support data validation, testing, and quality assurance for data pipelines and analytics-ready datasets, identifying anomalies and supporting root cause analysis. - Translate analytic findings into clear, compelling narratives and data visualizations in Qlik/ AWS Quicksight that support decision-making by technical and non-technical stakeholders. - Monitor key data health and performance metrics and support anomaly detection and ongoing data quality improvements. - Support data strategy and architecture decisions through domain-informed analysis, metric modeling, and collaboration with engineering and product teams. - Mentor junior analysts or cross-functional team members on best practices in data analysis, documentation, and data quality. Qualifications - Bachelor’s degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field; Master’s degree preferred. - 7+ years of experience working with healthcare data, including EHR, claims, registries, or public health datasets. - Strong proficiency in SQL and at least one analytics-oriented programming language such as Python or R. - Experience building analytical datasets, dashboards, or reporting frameworks using tools such as Excel, Tableau, Power BI, or QuickSight. - Experience with Databricks, Snowflake, or other modern cloud/notebook-based data platforms. - Familiarity with healthcare data standards such as FHIR, HL7, ICD, CPT, and LOINC, and experience working with healthcare quality or performance measures. - Demonstrated ability to synthesize complex data and present findings to both technical and non-technical audiences. - Strong data validation, data governance, and documentation practices. - Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical teams. - Strong problem-solving skills, attention to detail, and a commitment to continuous learning and improvement. - Experience working in a healthcare or regulated environment. - Experience working in Agile development environments and collaborating within cross-functional product or engineering teams. Requirements - Understanding of data governance and security frameworks relevant to healthcare such as NIST or HITRUST. - Prior experience working with government agencies such as CMS, VA, or DoD, or with payer or provider organizations. - Knowledge of healthcare delivery systems, policy frameworks, and value-based care programs. - Experience designing or supporting dashboards or reports for operational, clinical, or executive audiences. - Master’s degree or professional certifications in Data Analytics, Health Informatics, or a related field. Work Environment/Physical Demands The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - This is an office/remote position. - While performing the duties of this job, the employee regularly works in a climate-controlled environment. - Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. - Occasionally required to stand, walk, use hands and fingers, kneel or crouch.