data quality analyst

Sentara

<div><div><h1 class="jobSectionHeader"><b>Sentara is hiring a Senior Healthcare Data Analyst!</b></h1>
<p>This position is fully remote.</p>
<p></p><h1 class="jobSectionHeader"><b>Overview
</b></h1><p>The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational performance. Promotes self-service analytics for customer adoption, understanding and use of data. Supports design of programmatic analyses and reporting capabilities in addition to business requirement definition for new analyses and performs ad-hoc analysis as directed. This position supports data quality and data stewardship functions to maintain data accuracy and identify new metrics. As a subject matter expert, the Healthcare Data Analyst Senior uses analytic skills to offer data-driven conclusions and recommendations to business partners.
</p><p></p><h1 class="jobSectionHeader"><b>Education
</b></h1><ul><li>Bachelor's Degree in analytics, statistics, informatics, business, public health, or related field (Required)</li>
</ul><h1 class="jobSectionHeader"><b>Certification/Licensure
</b></h1><ul><li>No specific certification or licensure requirements</li>
</ul><p></p><h1 class="jobSectionHeader"><b>Experience
</b></h1><ul><li>3 years of experience in data analysis (Required)</li>
<li>Must have advanced-level skills in Microsoft Excel, SQL, Power BI, data validation, dashboard development
</li><li>Must have h ands-on analysis, dashboard delivery, recurring and ad hoc reporting, metric development
</li><li>Experience in Epic, claims, quality, utilization , finance, operations, service lines, population health is preferred</li>
<li>Looking for someone who can independently build dashboards, answer business questions, and explain insights clearly to partners
</li><li>Looking for someone with experience solving business problems with data</li>
<li>Ability to communicate findings clearly with operational, clinical, finance, or executive stakeholders.
</li></ul><p></p><p>Talroo</p></div></div><p></p>

Senior Healthcare Data Analyst - Remote

UVM Health - UVM Medical Center

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The Sr. Analyst, Enterprise Analytics serves as an experienced analytics partner for senior clinical, operational, and administrative leadership within a designated domain at UVM Health. Domain assignments may include ambulatory care, inpatient operations, quality and patient safety, perioperative/surgical services, procedural specialties, emergency department, revenue cycle, population health, or other areas. The Sr. Analyst independently manages a complex portfolio of analytics work, partnering with leaders to define needs, scope projects, negotiate timelines, and deliver insights that drive clinical, operational, and quality improvement.
 <br/>
 <br/>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree required; Master's degree in Health Informatics, Data Science, Public Health, or related field preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-6 years of healthcare analytics or data analysis experience.
  </li>
  <li>
   Demonstrated experience with Epic Cogito tools and Power BI, Tableau, or other data visualization tools.
  </li>
  <li>
   Experience independently managing analytics workloads and stakeholder relationships.
  </li>
  <li>
   Demonstrated ability to mentor or lead task-level work for junior staff.
  </li>
  <li>
   Experience working in agile product delivery preferred.
  </li>
 </ul>
</div>


Sr. Data Analyst (Healthcare)

Global Software Resources

<p><div><div><div><div><b>Job Title: </b>Data Governance Analyst V<br>
<b>Location: </b>Remote within the U. S<br>
<b>Duration: </b>June 29, 2026 &ndash; December 31, 2026<br>
</div>
</div><br>
</div></div><div><div><div><div><b>Account Manager Notes:
</b></div>
</div><br>
</div></div><div><div><div><div><b>Job Description:
</b><br>
Minimum 5 years of experience. Candidate will be remote and would only need to come onsite if absolutely needed
<ul><li>Executes defined stewardship work under the direction of Business Data Stewards (BDS are matrixed roles to this effort), including:
<ul><li>Metadata definition and maintenance (business definitions, attributes, standards)</li>
<li>Review and validation of data profiling results</li>
<li>Identification of data quality issues and root causes</li>
<li>Planning for and eventual execution of approved remediation activities</li>
</ul></li><li>Provides business usage context for datasets, including creation, consumption, and dependency insights.</li>
<li>Supports Planning?for?Control readiness by ensuring required metadata, rules, and checks are complete.</li>
<li>Collaborates with Technical Stewards and System Owners to validate lineage and system behavior.</li>
<li>Escalates risks or gaps that could prevent datasets from achieving required maturity.</li></ul></div></div></div></div></p>

Data Governance Analyst V

State of Arizona

<div><div><div><div><div><ul><li>541306
</li></ul></div><div><ul><li>PHOENIX
</li></ul></div><div><ul><li>DEPT OF EDUCATION
</li></ul></div><div><ul><li>Full-time
</li></ul></div><div><ul><li>Closing at: Jun 15 2026 - 23:55 MST
</li></ul></div></div><p></p><div><div><h1 class="jobSectionHeader"><b>Department of Education</b></h1>
<h2 class="jobSectionHeader"><b><i>The Arizona Department of Education is a service organization committed to raising academic outcomes and empowering parents.</i></b></h2>
</div>
<p><b>Senior Data Analyst - Accountability</b></p>
<div>
Job Location:
</div><div><h4 class="jobSectionHeader"><b>Address: Accountability and Research Section</b><br>
<b>Phoenix, AZ 85007</b></h4>
</div><div>Posting Details:
</div><div><h4 class="jobSectionHeader"><b>Salary: $87,500 - $92,500</b><br>
<b>
</b></h4><h4 class="jobSectionHeader"><b>Grade: 26</b><br>
<b>
</b></h4><h4 class="jobSectionHeader"><b>Closing Date: 06/07/26</b></h4>
</div><div>Job Summary:
</div><div><ul><li>The Senior Data Analyst directs the Accountability process as an experienced leader and data analytics professional with a passion for leveraging data to inform K&ndash;12 education decisions throughout the state.</li>
<li>This position:
<ul><li>Oversees the development and deployment of Python and SQL ETL and CI/CD pipelines. A vital part of this role also involves collaborating with education leaders and other stakeholders to gather feedback and address complex policy discussions; and</li>
<li>Develops and delivers engaging training sessions for educators to promote data literacy, ensure clear understanding of accountability measures, and foster a sense of ownership in the K&ndash;12 context.</li>
</ul></li><li>In this capacity, the Senior Data Analyst leads a dynamic team of Python data analysts, oversees statewide accountability measures, and ensures valid data usage in compliance with state and federal mandates. This role drives data-informed decision-making to benefit Arizona&rsquo;s educators and students, while also skillfully navigating stakeholder discussions to build consensus and support for new initiatives.</li>
<li>Occasional in-state and out-of-state travel is required for this position.<br>
</li></ul></div><div>Job Duties:
</div><div><ul><li>Lead and manage a team of early-career data analysts, providing clear guidance, mentorship, and performance feedback</li><li>Oversee project pipelines, set priorities, and ensure timely, high-quality deliverables that align with state and federal guidelines
</li><li>Serve as the primary liaison with school leaders, policymakers, and other education stakeholders to gather feedback, address concerns, and facilitate policy discussions
</li><li>Develop and deliver engaging training sessions that enhance data literacy and promote a shared understanding of accountability measures</li><li>Maintain rigorous data validation procedures to ensure accuracy, reliability, and security of accountability metrics and reports</li><li>Oversee data integrity for state and federal reporting requirements, including EdFacts, School Report Cards, and other critical mandates</li><li>Research and propose new tools, processes, or analytical methods to enhance the efficiency and impact of accountability initiatives</li><li>Foster a culture of continuous learning and promote best practices for data usage, analysis, and reporting</li><li>Collaborate with ADE leadership and cross-functional teams to shape long-term goals, and inform policy decisions</li><li>Provide high-level guidance to ensure data-informed insights are embedded in broader departmental and statewide educational initiatives</li></ul></div><br>
<div>
Knowledge, Skills &amp; Abilities (KSAs):
</div><div><div>Knowledge in:
<br>
<ul><li>Python for data science, object-oriented programming data validation, data integrity protocols, and best practices for creating accurate accountability reports</li><li>Understanding of adult learning principles and effective training strategies for diverse educator audiences</li><li>A Master&rsquo;s degree in data science, a related field or equivalent experience to substitute for the degree is required.</li></ul><br>
Skills in:
<br>
<ul><li>Supervising and mentoring staff, setting priorities, and ensuring project deadlines are met</li><li>Engaging stakeholders, presenting complex data findings, and leading discussions that build consensus.</li><li>Synthesizing feedback, analyzing data, and proposing innovative solutions to novel problems.</li></ul><br>
Ability to:
<br>
<ul><li>Interpret data, validate findings by asking probing questions, and present insights in a compelling, easy-to-understand format; ensuring the data effectively informs decision-making and sparks further analysis</li><li>Work cross-functionally within ADE and with external stakeholders, incorporating diverse input to shape policies</li><li>Navigate complex policy discussions and build relationships with a range of education leaders and policymakers.</li><li>Manage staff turnover, evolving accountability requirements, and dynamic project scopes</li><li>Distill technical or statistical information into practical insights for non-technical audiences</li><li>Identify improvement opportunities, champion new processes, and maintain a forward-thinking approach to accountability measures</li></ul></div></div><br>
<div>
Selective Preference(s):
</div><div><p>Preference will be given to those applicants with experience with K-12 education.</p>
</div>
<div>Pre-Employment Requirements:
</div><div><p><i>Offers are contingent upon successful completion of all background and reference checks, required documents and, if applicable, a post-offer medical/physical evaluation.</i></p>
<p><i>
If this position requires driving or the use of a vehicle as an essential function of the job to conduct State business, then the following requirements apply: </i><i>Driver&rsquo;s License Requirements.</i></p><br>
<p><i>
All newly hired State employees are subject to and must successfully complete the Electronic Employment Eligibility Verification Program (E-Verify).</i></p>
</div>
<div>Benefits:
</div><div><div>The State of Arizona provides an excellent comprehensive benefits package including:<br>
<br>
<ul><li>Affordable medical, dental, life, and short-term disability insurance plans</li><li>Top-ranked retirement and long-term disability plans</li><li>Ten paid holidays per year</li><li>Vacation time accrued at 4.00 hours bi-weekly for the first 3 years</li><li>Sick time accrued at 3.70 hours bi-weekly</li><li>Paid Parental Leave-Up to 12 weeks per year paid leave for newborn or newly-placed foster/adopted child (pilot program).</li><li>Deferred compensation plan</li><li>Wellness plans</li></ul></div>
<p><i>
Learn more about the Paid Parental Leave program </i><i>here</i><i>. For a complete list of benefits provided by The State of Arizona, please visit our </i><i>benefits page</i></p>
</div>
<div>Retirement:
</div><div><p>You will be required to participate in the Arizona State Retirement System (ASRS) upon your 27th week of employment, subject to waiting period. On or shortly after, your first day of employment you will be provided with enrollment instructions and effective date.</p>
</div>
<div>Contact Us:
</div><div><p>The State of Arizona is an Equal Opportunity/Reasonable Accommodation Employer. Persons with a disability may request a reasonable accommodation such as a sign language interpreter or an alternative format by calling (602) 542-3186 or emailing Human.Resources@azed.gov. Requests should be made as early as possible to allow sufficient time to arrange the accommodation.</p></div></div></div></div></div>

SENIOR DATA ANALYST - ACCOUNTABILITY

RATP Dev Mobility Cairo

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
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  Responsibilities/Duties
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  <br/>
 </strong>
 <strong>
  Profil de candidat recherch&eacute; :
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  <br/>
 </strong>
 <strong>
  Advanced Financial Analytics &amp; Risk Mitigation
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  <br/>
 </strong>
 <ul>
  <li>
   Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
  </li>
  <li>
   Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
  </li>
  <li>
   Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
  </li>
  <li>
   Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strategic Reporting &amp; Digital Transformation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
  </li>
  <li>
   Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
  </li>
  <li>
   Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
  </li>
  <li>
   Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Functional Leadership &amp; Operational Excellence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
  </li>
  <li>
   Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
  </li>
  <li>
   Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
  </li>
  <li>
   Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Safety Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
  </li>
  <li>
   Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
  </li>
  <li>
   Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
  </li>
  <li>
   Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
  </li>
  <li>
   Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
  </li>
  <li>
   Deep knowledge of data privacy laws.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Behaviors &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
  </li>
  <li>
   Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
  </li>
  <li>
   A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
  </li>
  <li>
   High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
  </li>
  <li>
   High level of professionalism, ethical conduct, and integrity.
  </li>
 </ul>
</div>


Sr Client Data Analyst

Salt

<div>
 <p>
  ***HIRING*** - 3 Month Contract (Extendable)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Title &ndash; Data Quality Engineer (Databricks).
  </strong>
 </p>
 <p>
  <strong>
   Salary &ndash; AED 35,000 - 38,000 Per Month.
  </strong>
 </p>
 <p>
  <strong>
   Contract Length &ndash; 3 Months &ndash; Extendable.
  </strong>
 </p>
 <p>
  <strong>
   Location &ndash; Dubai.
  </strong>
 </p>
 <p>
  <strong>
   Start Date &ndash; ASAP.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  The Data Quality Engineer will be responsible for designing, implementing, and operating the client's enterprise data quality framework within the Databricks platform. The role will deliver automated profiling, quality rule execution, cleansing, monitoring, remediation support, and quality reporting capabilities across 170 datasets and 1,346 prioritised Critical Data Elements (CDEs).
 </p>
 <p>
  <br/>
 </p>
 <p>
  Working closely with Data Modellers, Data Catalogue Specialists, business data owners, and platform engineers, the Data Quality Engineer will establish scalable and reusable quality controls that improve trust, accuracy, completeness, consistency, timeliness, validity, and uniqueness across the client's data estate.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Databricks Platform Configuration and Administration
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Configure and manage the Databricks environment supporting enterprise data quality operations.
   </strong>
  </li>
  <li>
   Establish and maintain:
  </li>
  <li>
   Compute clusters.
  </li>
  <li>
   PySpark notebook frameworks.
  </li>
  <li>
   Delta Lake storage structures.
  </li>
  <li>
   Unity Catalog integration.
  </li>
  <li>
   Optimise platform performance for large-scale profiling and rule execution across all in-scope datasets and CDEs.
  </li>
  <li>
   Implement development, testing, and production deployment standards for data quality assets.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Profiling and Quality Assessment
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design and develop AI-assisted profiling notebooks using PySpark.
   </strong>
  </li>
  <li>
   Perform baseline data quality assessments across the six quality dimensions:
  </li>
  <li>
   Completeness.
  </li>
  <li>
   Accuracy.
  </li>
  <li>
   Consistency.
  </li>
  <li>
   Validity.
  </li>
  <li>
   Timeliness.
  </li>
  <li>
   Uniqueness.
  </li>
  <li>
   Capture and analyse:
  </li>
  <li>
   Null value rates.
  </li>
  <li>
   Duplicate records.
  </li>
  <li>
   Invalid values.
  </li>
  <li>
   Format violations.
  </li>
  <li>
   Outliers.
  </li>
  <li>
   Schema drift.
  </li>
  <li>
   Produce quality profiling outputs for all prioritised CDEs and datasets.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Quality Rule Factory Development
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design and implement a reusable Data Quality Rule Factory.
   </strong>
  </li>
  <li>
   Build parameterised PySpark-based rule templates capable of supporting large-scale rule deployment.
  </li>
  <li>
   Enable automated generation and management of approximately 6,730 data quality rules without manual rule-by-rule development.
  </li>
  <li>
   Ensure rules are reusable, configurable, and maintainable across multiple datasets and domains.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Quality Controls and Pipeline Integration
  </strong>
 </p>
 <ul>
  <li>
   Deploy quality rules as reusable Databricks Jobs integrated into Delta Lake processing pipelines.
  </li>
  <li>
   Embed quality controls within bronze, silver, and gold processing stages.
  </li>
  <li>
   Implement automated quality gates preventing data progression where defined thresholds are not met.
  </li>
  <li>
   Maintain rule traceability and execution history for audit and governance purposes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Cleansing and Quality Improvement
  </strong>
 </p>
 <ul>
  <li>
   Develop automated remediation and cleansing pipelines using PySpark.
  </li>
  <li>
   Implement:
  </li>
  <li>
   Standardisation routines.
  </li>
  <li>
   Data enrichment processes.
  </li>
  <li>
   Deduplication logic.
  </li>
  <li>
   Schema harmonisation controls.
  </li>
  <li>
   Deploy machine learning models managed through MLflow for:
  </li>
  <li>
   Anomaly detection.
  </li>
  <li>
   Exact duplicate detection.
  </li>
  <li>
   Fuzzy matching and duplicate identification.
  </li>
  <li>
   Ensure all AI and ML recommendations are explainable, auditable, and routed through human-in-the-loop validation processes where required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Exception Management and Reprocessing
  </strong>
 </p>
 <ul>
  <li>
   Design and manage exception handling processes for failed quality records.
  </li>
  <li>
   Implement quarantine Delta Lake tables serving as the Failed Record Register.
  </li>
  <li>
   Capture and maintain:
  </li>
  <li>
   Failure reason.
  </li>
  <li>
   Associated CDE.
  </li>
  <li>
   Rule reference.
  </li>
  <li>
   Processing timestamp.
  </li>
  <li>
   Resolution status.
  </li>
  <li>
   Develop reprocessing workflows to support correction and controlled re-ingestion of remediated records.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Quality Metrics and Reporting
  </strong>
 </p>
 <ul>
  <li>
   Develop Delta Lake metric aggregation structures supporting enterprise quality reporting.
  </li>
  <li>
   Calculate and publish:
  </li>
  <li>
   Data Quality Index (DQI) scores.
  </li>
  <li>
   Dimension-level quality metrics.
  </li>
  <li>
   Rule pass/fail rates.
  </li>
  <li>
   Dataset compliance scores.
  </li>
  <li>
   SLA adherence indicators.
  </li>
  <li>
   Provide curated outputs to support Power BI quality dashboards and executive reporting.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Monitoring, Alerting and Predictive Quality Management
  </strong>
 </p>
 <ul>
  <li>
   Configure automated quality monitoring and alerting mechanisms.
  </li>
  <li>
   Implement threshold-based notifications using:
  </li>
  <li>
   Databricks SQL Alerts.
  </li>
  <li>
   Azure Monitor integrations.
  </li>
  <li>
   Develop predictive risk scoring models to identify datasets at risk of future quality degradation.
  </li>
  <li>
   Support proactive quality management and operational intervention activities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Root Cause Analysis and Remediation Support
  </strong>
 </p>
 <ul>
  <li>
   Apply Databricks machine learning and pattern analysis techniques to profiling and rule execution outputs.
  </li>
  <li>
   Support AI-assisted root cause analysis across established remediation categories.
  </li>
  <li>
   Identify recurring quality issues, systemic defects, and process breakdowns.
  </li>
  <li>
   Produce prioritised remediation datasets for business and operational stakeholders.
  </li>
  <li>
   Export remediation outputs to Power BI and Excel to support:
  </li>
  <li>
   Remediation Tiering Matrix.
  </li>
  <li>
   Prioritisation Scoring Models.
  </li>
  <li>
   Governance reporting processes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Governance, Compliance and Stakeholder Engagement
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with Data Modellers and Data Catalogue Specialists to ensure quality controls align with authoritative data definitions and metadata standards.
  </li>
  <li>
   Support DDA and DGE governance processes by producing required quality artefacts and evidence.
  </li>
  <li>
   Maintain documentation, version control, and audit trails for all quality assets, rules, models, and processes.
  </li>
  <li>
   Participate in quality reviews, governance forums, and stakeholder workshops.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills and Experience
  </strong>
 </p>
 <ul>
  <li>
   Strong experience designing and implementing enterprise Data Quality frameworks.
  </li>
  <li>
   Advanced Databricks engineering experience.
  </li>
  <li>
   Strong PySpark development skills.
  </li>
  <li>
   Experience with:
  </li>
  <li>
   Delta Lake.
  </li>
  <li>
   Unity Catalog.
  </li>
  <li>
   Databricks Workflows and Jobs.
  </li>
  <li>
   Databricks SQL.
  </li>
  <li>
   Experience building scalable data validation and quality rule frameworks.
  </li>
  <li>
   Knowledge of machine learning techniques for anomaly detection and data quality monitoring.
  </li>
  <li>
   Experience using MLflow for model management and deployment.
  </li>
  <li>
   Strong understanding of data governance, metadata management, and data lifecycle processes.
  </li>
  <li>
   Experience integrating data quality metrics into reporting platforms such as Power BI.
  </li>
  <li>
   Knowledge of cloud-based data engineering and modern lakehouse architectures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Deliverables
  </strong>
 </p>
 <ul>
  <li>
   Configured Databricks Data Quality environment.
  </li>
  <li>
   Enterprise Data Quality Rule Factory.
  </li>
  <li>
   AI-assisted profiling notebooks and baseline assessment outputs.
  </li>
  <li>
   Automated data quality validation and gating processes.
  </li>
  <li>
   Data cleansing and remediation pipelines.
  </li>
  <li>
   Failed Record Register and reprocessing workflows.
  </li>
  <li>
   Data Quality metric aggregation tables.
  </li>
  <li>
   DQI reporting feeds and dashboard datasets.
  </li>
  <li>
   Predictive quality monitoring and alerting solutions.
  </li>
  <li>
   Root Cause Analysis and remediation support datasets.
  </li>
  <li>
   Governance, audit, and compliance artefacts supporting DDA and DGE reviews.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Regards,
 </p>
 <p>
  Ollie
 </p>
 <p>
  <br/>
 </p>
</div>


Data Quality Engineer (Databricks)

SCAN Health Plan

<div><p>Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the &ldquo;12 Angry Seniors.&rdquo; Their mission continues to guide everything we do.</p><p>
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.</p><p>
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.</p><p>
At SCAN, we believe scale should strengthen&mdash;not dilute&mdash;our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.</p><p></p><p><b>
The Job</b></p><p>
In this role, you will help advance SCAN&rsquo;s AI enablement and enterprise data governance practices. This role is responsible for improving the trust, usability, and business context richness of data that powers AI, analytics, reporting, and operational decision-making.</p><p></p><p>
This role helps build the foundation for enterprise AI by strengthening core knowledge management capabilities via the development, governance, and adoption of enterprise data assets and knowledge structures, including business glossaries, governed metrics, semantic layers, ontologies, knowledge graphs, metadata, lineage, and stewardship practices. You will work closely with data stewards, subject matter experts, platform teams, and executive business leaders to build context, standardize business terminology, improve data quality, and make enterprise data easier for people and AI-enabled tools to understand and use.</p><p></p><p>
This is an essential role as SCAN modernizes its data ecosystem through a modern platform, scalable self-service analytics, and AI-assisted ways of working.</p><p><b><br>
You Will</b></p><ul><li><b>
Enhance SCAN&rsquo;s semantic foundation</b> by developing dimensional models, hierarchies, domain relationships, and governed metrics that enable consistent AI use cases.</li><li><b>
Support ontology and knowledge graph initiatives</b> by identifying key business entities, relationships, synonyms, and domain concepts that improve data connectivity, searchability, and AI comprehension.</li><li><b>
Govern and document data assets</b> across Snowflake, Databricks, and Iceberg environments to ensure structured and semi-structured data is well-described, discoverable, and trusted for analytics and AI workflows.</li><li><b>
Maintain and enrich the enterprise data catalog</b>, documenting metadata, lineage, ownership, usage context, and business meaning for high-value data assets.</li><li><b>
Improve data discoverability and usability</b> through tagging, glossary management, workflow optimization, and metadata quality controls.</li><li><b>
Perform data and metric validation</b> to assess accuracy, completeness, aggregation logic, consistency, and timeliness across data products, including via the use of AI-assisted tools.</li><li><b>
Partner with business stakeholders</b>, data stewards, subject matter experts, analytics teams, and technical teams to execute enterprise data governance and AI-readiness priorities across key domains.</li><li><b>
Investigate data quality issues</b>, conduct root cause analysis, document business impact, and partner with data engineering, analytics, reporting, and business teams to support resolution.</li><li><b>
Participate in Agile ceremonies</b> to ensure governance and AI enablement work is visible, prioritized, and delivered effectively.</li><li><b>
Drive continuous improvement</b> in governance automation, stewardship workflows, reporting certification, and AI-assisted governance capabilities.</li><li>
We seek Rebels who are curious about AI and its power to transform how we operate, improve decision-making, and serve our members.</li><li>
Actively support the achievement of SCAN&rsquo;s Vision and Goals.</li><li>
Other duties as assigned.</li></ul><p></p><p><b>
Your qualifications</b></p><ul><li>
Bachelor's degree in information systems, Data Analytics, Computer Science, Business Administration, Healthcare Administration, Statistics, or a related field; equivalent experience may be considered.</li><li>
3+ years of experience in data engineering, data governance, data management, data quality, analytics, business intelligence, metadata management, knowledge management, or related data-focused role.</li><li>
Experience in the health care industry, especially in areas such as Medicare Advantage, clinical analytics, medical economics, quality, pharmacy, claims, provider, member, or operational data environments, is strongly preferred.</li><li>
Experience with modern knowledge management techniques such as semantic layers, ontologies, knowledge graphs, retrieval-augmented generation, AI-assisted documentation, or metadata-driven discovery preferred.</li><li>
Familiarity with modern warehouse and open Lakehouse concepts, including cloud object storage, open table formats such as Apache Iceberg or Delta Lake, metadata catalogs, data sharing, lineage, and governance of structured and semi-structured data.</li><li>
Familiarity with using AI-assisted tools to improve documentation, analysis, data discovery, metadata quality, and governance workflows.</li><li>
Experience with enterprise data catalog, metadata management, data lineage, business glossary, stewardship, and/or or report certification practices.</li><li>
Experience with BI and reporting platforms such as Power BI, Tableau, SSRS, or similar tools.</li><li>
Experience with CLI tools such as Cortex Code, Claude Code, or similar.</li><li>
Experience working in SAFe Agile or another Agile delivery framework.</li><li>
Preferred certifications include CDMP, DGSP, DCAM, DAMA-related training, Snowflake certification, Microsoft Power BI certification, or relevant Agile/SAFe certifications.</li></ul><p></p><p><b>
Competencies</b></p><ul><li><b>
Knowledge Management Mindset:</b> Helps organize business meaning, definitions, relationships, ownership, and metadata so that enterprise data is easier to find, understand, govern, and reuse.</li><li><b>
Business Partnership:</b> Builds trusted relationships with business and technical stakeholders and translates governance, data quality, and AI-readiness practices into business value.</li><li><b>
Analytical Thinking:</b> Uses structured analysis to evaluate data issues, identify root causes, assess business impact, and improve trust in data used for analytics and AI-enabled capabilities.</li><li><b>
Governance Discipline:</b> Applies consistent standards for definitions, metadata, quality rules, stewardship, lineage, and documentation.</li><li><b>
Communication:</b> Explains complex data concepts clearly to both technical and non-technical audiences.</li><li><b>
Continuous Improvement:</b> Identifies opportunities to improve governance workflows, data usability, automation, AI-assisted documentation and scalable self-service analytics.</li></ul><p></p><p><b>
Skills &amp; Abilities</b></p><ul><li>
Ability to support semantic layer and metrics governance, including standardized definitions, dimensional concepts, hierarchies, measure consistency, and policy adherence.</li><li>
Familiarity with knowledge management concepts such as ontologies, knowledge graphs, taxonomies, and domain models.</li><li>
Ability to translate technical data structures into clear, business-aligned definitions and documentation, especially via data dictionaries, catalog entries, report inventories, data quality findings, and usage context.</li><li>
Strong SQL skills for data profiling, validation, reconciliation, and issue investigation.</li><li>
Familiarity with Snowflake, SQL Server, Power BI, Tableau, SSRS, data catalogs, modern analytics platforms, and open lakehouse concepts such as cloud object storage, open table formats, metadata catalogs, and governed data access.</li><li>
Ability to work effectively across business, analytics, data engineering, platform, stewardship, and leadership teams.</li><li>
Practical understanding of healthcare data domains such as claims, membership, providers, clinical operations, pharmacy, quality, utilization management, or finance preferred.</li><li>
Ability to manage multiple priorities in an Agile environment while maintaining attention to detail.</li><li>
Awareness of emerging automation, AI-assisted documentation, data quality monitoring, semantic search, and governed by self-service analytics capabilities.</li></ul><p></p><p><b>
What's in it for you?</b></p><ul><li><p>
Base Salary Range: $80,300 to $138,330 annually</p></li><li><p>
An annual employee bonus program</p></li><li><p>
Robust Wellness Program</p></li><li><p>
Generous paid-time-off (PTO)</p></li><li><p>
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days</p></li><li><p>
Excellent 401(k) Retirement Saving Plan with employer match</p></li><li><p>
Robust employee recognition program</p></li><li><p>
Tuition reimbursement</p></li><li><p>
An opportunity to become part of a team that makes a difference to our members and our community every day!</p></li></ul><p></p><p>
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!</p><p></p><p>
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.</p><p></p><p>
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.</p><p></p><p>
#LI-JB1 #LI-Hybrid</p><p><b>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></p><p></p><p><i>
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information. 41 CFR 60-1.35(c)</i></p></div>

Sr. Engineer, Data Governance & AI Enablement

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