• Support Advarra’s Analytics and Reporting team • Work closely with both Business Intelligence and Data Engineering to deliver reporting, dashboards, and data-driven insights • Create and maintain deliverables • Conduct ad hoc analysis • Resolve business and technical issues • Understand and optimize data structure to drive consistent data capture and reporting • Lead situations where new data modeling is required to support the business • Follow best practice as defined by Data Engineering to support Business Intelligence needs • Drive collaboration with identification of required individuals necessary for identified resolutions • Work with Business and Product Management team to ensure appropriate requirements are captured and documented • Support the architect of solutions to support analytics needs • Participate in release management and deployment, where necessary • Monitor data feeds and engage with Data Engineering to resolve issues

The pay for this position is between $90,000 and $105,000 annually. Data Analyst Position Overview The Data Analyst is a cross functional role responsible for translating organizational, clinical, compliance, and financial questions into clearly defined data requirements and usable analytical outputs. This role sits at the intersection of Quality, Finance, Operations, Clinical Leadership, and IT and ensures that data is consistent, trusted, well documented, and aligned with business intent. This position is foundational to improving reporting accuracy, reducing rework, strengthening compliance confidence, and enabling leadership to make informed decisions based on shared, well understood metrics. The Data Analyst does not replace data engineering or reporting development functions. Instead, this role ensures that what is built is the right thing, built with shared definitions, and validated before it is relied upon. Core Responsibilities Business and Compliance Translation • Work closely with leadership to define compliance measures, outcome metrics, and reporting requirements • Translate regulatory, contractual, QI and program level requirements into clear, structured data specifications • Partner with Finance to ensure measures reconcile to source systems and align with financial reporting standards - Collaborates with Quality and Clinical leadership to identify and synthesize data and data trends into actionable operational frameworks • Works in collaboration with quality and training team members as a translator between non-technical stakeholders and technical teams Data Definition and Governance • Own and maintain shared definitions for key organizational metrics • Establish and document calculation logic, assumptions, exclusions, and limitations • Ensure consistent interpretation of metrics across departments and reports • Support the development of basic data governance practices, including documentation and validation standards Reporting and Analysis Support • Support recurring operational, compliance, and leadership reporting • Conduct ad hoc analysis to answer emerging business and program questions • Validate data outputs prior to distribution to ensure accuracy and intent alignment • Identify data quality issues and work with IT and source system owners to resolve them Collaboration and Enablement • Serve as a central point of contact for data related questions across the organization • Collaborate with data engineering and IT teams to ensure analytical readiness • Improve intake processes for data requests to reduce ambiguity and rework • Educate stakeholders on data availability, limitations, and appropriate use Required Qualifications - Bachelor’s, preferably Master's degree in data analytics, information systems, statistics, public health, or related field • Demonstrated experience working with complex, multi-source datasets • Strong SQL skills and experience querying relational databases • Extensive experience with reporting and visualization tools such as Power BI • Strong ability to communicate technical concepts in clear, plain language • Experience in healthcare, behavioral health, human services, or regulated environments preferred - Experience working in matrixed or cross functional environments • Exposure to data governance or data quality frameworks Preferred Qualifications • Experience supporting compliance or regulatory reporting • Familiarity with EMR or EHR systems and healthcare data structures

• Lead complex project discovery sessions, conducting advanced ROI assessments and stakeholder prioritisation. • Develop sophisticated solution designs and technical specifications for multi-faceted business requirements. • Oversee UAT processes for complex solutions, ensuring comprehensive testing and quality assurance. • Design and execute launch strategies for high-impact solutions, including advanced training and change management. • Generate proactive insights and conduct scenario development and modelling to support strategic decision-making. • Apply expert-level knowledge of AzaraAI and analytics tools to deliver innovative solutions for complex business requirements. • Overlay client insights, market data, and research to enrich analytics and support JLL solution cross-selling. • Mentor and coach Analytics Specialists and contribute to team capability development. • Partner with offshore technical delivery teams to ensure successful solution implementation.

• Independently builds and maintains KPIs, dashboards, reports, and data related products. • Independently gathers and prepares large, complex datasets from diverse sources. • Performs exploratory and statistical analyses to uncover deeper trends and insights. • Independently answers complex business questions with data-driven and actionable recommendations. • Designs and delivers sophisticated dashboards and custom reports for diverse audiences. • Adapts visualizations to communicate technical findings to non-technical stakeholders effectively. • Leads discussions with business units to deeply understand data needs and proactively suggest solutions. • Educates stakeholders on advanced analytics techniques and best practices for secure data handling. • Represents D&I team on ePMO projects ensuring timely delivery of assignments • Mentors associate data analysts to ensure data integrity and consistency. • Leads automation projects to streamline complex workflows and improve efficiency. • Serves as a trusted partner to leadership, providing insights that shape strategic decisions and drive operational success. • Partners with data scientists and engineers on multidisciplinary projects.