Role Description Performs specialized/advanced health information activities necessary to organize, maintain and use electronic and paper patient health records. Reviews, analyzes and maintains data integrity within the enterprise master patient index (EMPI) and health information exchange (HIE) databases for the integrity and resolution of patient and/or person identity issues. Performs encounter management. Qualifications - Associate’s/Technical Degree or equivalent combination of education/related experience: Required - Bachelor's Degree: Preferred - Three years' technical experience: Preferred - Two years' healthcare medical records experience: Preferred Requirements - Compares data between different locations of the Enterprise, then links patient records that are determined to be the same person for the purposes of HIPAA compliant clinical data sharing. - Resolves duplicate or overlay medical record number (MRN) occurrences by performing data comparison using on-line systems in a timely manner. - Researches potential overlays or duplicate (MRN) requests in a timely manner, and correct or assign them for correction based on site process. - Collaborates to identify and correct MRN-related errors when they occur (e.g. improper merge, movement of a patient contact from one MRN to another MRN, etc.); when a duplicate MRN cannot be merged because the patient is in-house, links the appropriate MRNs and marks the source MRN as ‘marked for merge’ within the EHR systems. - Coordinates and communicates enterprise master patient index (EMPI) activities and merges with other departments for source system resolution. - Analyzes data results through investigation, analysis and evaluation. - Ensures the integrity of data, including extraction, processing, storage, manipulation and analysis. - Analyzes data for trends and support findings through adequate documentation. - Ensures that reports support the overall goals of the organization. - Reconciles file/encounter merges. - Performs other job-related duties as assigned. Organizational Requirements - Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. - Adventist Health participates in E-Verify. Visit E-Verify for more information about E-Verify. Company Description Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.

Role Description We're looking for a Senior Data Analytics Consultant who can bring clarity to complexity. Our clients have no shortage of data. They have websites generating traffic, ad campaigns running across multiple platforms, CRMs collecting customer information, and dashboards that may or may not be telling the full story. What they need is someone who can connect the dots, build reliable measurement frameworks, and turn fragmented information into decision-making tools. This is not a reporting role. We're looking for someone who understands the entire analytics ecosystem—from data collection and governance to dashboard design and business insights. Someone who can audit a setup, identify what's missing, implement the right tracking structure, and build reporting environments that clients actually use. You'll work alongside strategists, marketers, account teams, developers, and client stakeholders to create analytics infrastructures that are accurate, scalable, and easy to understand. Some engagements will involve building systems from scratch; others will require untangling years of accumulated technical debt. This is a freelance consulting role with recurring project opportunities. Some mandates will be strategic and advisory in nature; others will require hands-on implementation across analytics, reporting, and data management platforms. What You'll Own - Analytics Architecture: You design and implement measurement frameworks that provide a reliable foundation for reporting and decision-making. - Tracking & Data Collection: You audit, configure, and maintain analytics implementations across websites and digital properties, ensuring data is collected accurately and consistently. - Dashboard Development: You build dashboards that surface meaningful insights, not just metrics. Reports should help clients understand performance, identify opportunities, and make informed decisions. - Platform Integration: You connect data sources across analytics, advertising, CRM, and marketing platforms to create unified reporting environments. - Data Governance: You establish naming conventions, documentation standards, tracking plans, and processes that keep data clean and trustworthy over time. - Analytics Consulting: You help clients understand what they're measuring, why it matters, and where opportunities exist to improve performance. - Technical Troubleshooting: You identify gaps, inconsistencies, and implementation issues before they become reporting problems. - Internal Collaboration: You work closely with developers, strategists, marketers, and project teams to ensure analytics requirements are considered throughout the lifecycle of a project. Qualifications - Demonstrated experience designing and implementing analytics solutions for websites, marketing campaigns, and digital products - Advanced experience with Google Analytics 4 (GA4) - Strong expertise in Looker Studio and dashboard development - Experience integrating data from advertising platforms, CRM systems, marketing automation platforms, and other business tools - Strong understanding of event tracking, conversion measurement, attribution, and reporting methodologies - Experience conducting analytics audits and translating findings into actionable recommendations - Ability to communicate technical concepts to non-technical stakeholders - Strong attention to detail and commitment to data accuracy - Comfortable working independently and providing strategic recommendations directly to clients Nice-to-Haves - Experience with Google Tag Manager (GTM) - Experience with BigQuery and data warehousing environments - Knowledge of SQL and data transformation workflows - Experience integrating platforms such as HubSpot, Salesforce, Meta Ads, Google Ads, LinkedIn Ads, Shopify, or similar ecosystems - Experience building executive-level dashboards and KPI frameworks - Agency or consulting experience working across multiple clients and industries What Success Looks Like - Clients trust their data because you've eliminated uncertainty around how it's collected, organized, and reported. - Dashboards become decision-making tools, not screenshots people glance at once a month. - Stakeholders can answer important business questions without digging through multiple platforms. - Tracking issues are identified before they impact reporting. - Data sources that once lived in silos are connected and working together. - Analytics setups are documented, scalable, and easy for teams to maintain. - Clients understand not only what happened, but why it happened and what to do next. - When a new campaign, platform, or website launches, measurement is already part of the plan—not an afterthought. Engagement Details - Freelance / contract-based - Project-based engagements with potential for recurring consulting work - Remote-friendly - Flexible workload based on project requirements - Availability for occasional discovery sessions, audits, implementation projects, and ongoing analytics support

• Design, maintain, and enhance core datasets and data models and data lineage used for BI and operational reporting. • Define and document metric logic, data definitions, and transformation rules. • Support data quality checks, reconciliations, and issue triage to ensure reporting accuracy. • Maintain data documentation such as datasets, logic notes, and dependencies. • Develop and enhance Power BI datasets, reports, and dashboards. • Apply visualization best practices to ensure clarity and actionability of insights. • Support routine operational reporting, refreshes, validations, and exception analysis. • Partner with Finance, Operations, Technology, and Governance teams to align on data usage and expectations.

• Build a cohesive view of Harvey's employee lifecycle — connecting recruiting, onboarding, engagement, performance, mobility, retention, and exits into a single, actionable narrative that shows where exceptional talent thrives or breaks down • Own the vision and roadmap for Harvey's people data infrastructure — partner with Data Engineering and Security to stand up the people data layer in Snowflake (or similar), define architecture requirements, and drive role-based access controls and data governance so the right people have the right access • Consolidate workforce data across Workday, Ashby, Envoy, Culture Amp, and other HR systems, and build the data quality frameworks that keep it trustworthy at scale • Define and maintain Harvey's people metrics dictionary — standardize how headcount, attrition, hiring, and workforce trends are measured across the org • Design the frameworks and methodologies that scale beyond v1 — forecast headcount, model attrition, segment the org, benchmark against market — built to explain not just *what* is happening but *why* • Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems, and help Harvey understand what attracts, enables, retains, and risks losing exceptional talent • Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function — and shape exec-level decisions with the insights they surface • Build the self-service foundation that lets partner teams operate independently — design the frameworks, tooling, and documentation so that comp, PBPs, and other partners can surface their own insights without routing every question through analytics • Drive alignment across PBPs, RecOps, People Systems, and Finance to define reporting cadence and answer the questions that drive strategic people decisions • Set the bar for people data craft at Harvey — define standards, review work, and grow the analytics capability of partner teams • Use AI aggressively to automate workflows, accelerate analysis, and scale your impact — this is a role where AI-first thinking compounds fast