Developer - Analytics Engineer - Level 2

At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and discover how we can advance health together.

About Duke Health Technology Solutions

Pursue your passion for caring and innovation with Duke Heath Technology Solutions, which is dedicated to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence — and pairing them with a forward-thinking approach — Duke Health Technology Solutions is revolutionizing the future of health care at Duke Health and beyond.

The Analytics Engineer serves as a trusted analytics partner supporting clinical, operational, and quality initiatives across Duke Health. This role partners with stakeholders to develop reporting, analytics, and decision-support solutions that improve patient outcomes, support operational excellence, advance quality and patient safety, and enable informed decision making.

The position will support a diverse portfolio of analytics initiatives, including areas such as Pain and Opioid Analytics and Quality Analytics , while also playing an important role in the team’s transition to Microsoft Fabric. The ideal candidate combines strong technical expertise with the ability to understand complex healthcare needs and translate them into scalable, accurate, and actionable analytics solutions.

Key Responsibilities

- Partner with clinical, operational, and business stakeholders to understand needs, establish priorities, and develop data-driven solutions supporting strategic and operational objectives.
- Serve as a trusted analytics advisor by proactively communicating project progress, risks, dependencies, and opportunities to stakeholders.
- Design, develop, validate, document, and maintain reporting, semantic models, dashboards, and analytics solutions that provide accurate, timely, and actionable information.
- Develop and maintain SQL queries, data transformations, reusable data assets, and governed analytics solutions supporting clinical, operational, quality, patient safety, and performance improvement initiatives.
- Contribute to the organization’s transition to Microsoft Fabric by developing and supporting modern data pipelines, data models, semantic models, and Power BI solutions.
- Translate complex healthcare data and analytical findings into clear, meaningful insights for audiences ranging from operational teams to senior leadership.
- Collaborate with multidisciplinary teams to improve data collection, reporting efficiency, data quality, governance, and operational performance.
- Participate in analytics engineering best practices, including documentation, source control, peer review, testing, deployment, and ongoing solution support.
- Manage multiple assignments and projects while maintaining clear communication and delivering solutions that meet customer and organizational needs.

Preferred Qualifications

- Experience working in a healthcare environment with an understanding of clinical operations, quality improvement, patient safety, regulatory reporting, or performance improvement.
- Epic certification or demonstrated proficiency with Epic Clarity, Caboodle, Cogito, or other Epic clinical and operational data models.
- Experience with Microsoft Fabric and Power BI, including semantic models, Lakehouse, Data Warehouse, Dataflows, Pipelines, or related analytics capabilities.
- Experience developing dashboards, scorecards, reports, and self-service analytics solutions using Power BI, Tableau, or similar business intelligence platforms.
- Strong SQL development, dimensional modeling, semantic modeling, and analytical problem-solving skills.
- Experience developing ETL/ELT processes, data pipelines, and modern analytics engineering solutions.
- Experience with Git, GitLab, Azure DevOps, source control, peer review, or CI/CD deployment practices.
- Strong communication skills and the ability to translate business and technical requirements into effective analytics solutions.

Level 1 Work Performed at a Minimum

- Works as an individual contributor under the direct supervision of a Level 3 or above and collaborates as a member of a team
- Demonstrates a basic understanding of core data platforms (Clarity and Caboodle) and the underlying data structures relevant to the assigned role or domain
- Demonstrates a basic understanding of analytics and BI technologies and terminology relevant to the role
- Transforms data into meaningful deliverables using analytics and BI tools
- Translates business and technical requirements into assigned deliverables, such as data extracts or reports
- Demonstrates basic knowledge of SQL query debugging
- Follows all DUHS, DHTS, and ACE policies and procedures applicable to the role
- Responds to customer requests for assistance as assigned and prioritized by the manager
- Maintains timely, clear, concise, and accurate communication with the manager, business analyst, or analytics partner (customer) keeping them apprised of request status
- Maintains appropriate analytics engineering documentation and metadata, such as GitLab artifacts or data dictionaries, as assigned

Level 2 Work Performed at a Minimum

- Meets all Competencies in Level 1 AND:
- Works with new hires and Level 1 team members to use the tools and technologies required to perform their job duties
- Demonstrates advanced knowledge of the assigned domain, including related data, workflows, tools, and semantic models
- Demonstrates the ability to work with stakeholders to understand business needs and perform business analysis independently >75% of the time
- Translates business requirements into technical, data, and semantic model requirements independently >75% of the time
- Writes and modifies accurate SQL queries independently >90% of the time
- Demonstrates basic knowledge of SQL query performance tuning
- Writes complex SQL inclusion and exclusion criteria for cohort development
- Mentors team members on SQL questions and query tuning
- Locates data elements independently >75% of the time
- Demonstrates knowledge and utilization of basic data design and infrastructure
- Participates in peer reviews of SQL, data transformations, and semantic model designs
- Actively participates in data quality assurance and submits requests for new or enhanced data structures, tables, and attributes
- Actively participates in special projects and effectively completes project assignments with minimal supervision
- Manages multiple projects to completion in a timely manner
- Develops and presents topics as assigned or needed by the customer and/or ACE team
- Actively participates in the Duke Analytics Community or other professional forums applicable to the role

Level 3 Work Performed at a Minimum

- Meets all Competencies in Level 2 AND:
- Demonstrates expertise in analytics engineering platforms, data models, and tools related to the project area (e.g., Microsoft Fabric, Tableau, Power BI, semantic model development, Caboodle, advanced RW SQL, UNIX, OMOP, PCORnet, and UNOS)
- Serves as the team expert and resource in SQL, data modeling, and semantic modeling
- Demonstrates expertise in locating required data elements and assists team members as needed
- Trains team members in advanced skills for using tools and technologies to accomplish job duties
- Demonstrates proficiency with ETL processes, data pipelines, transformation workflows, and source control/deployment practices, including use of tools such as SSIS, ADF, SQL Server Agent, Python, GitLab, and CI/CD
- Demonstrates knowledge and appropriate use of fundamental statistics to support data interpretation, stakeholder communication, and effective visualization design
- Demonstrates the ability to work independently to solve problems and complete assigned work >95% of the time
- Demonstrates the ability to work with customers to understand business needs or problems independently >95% of the time
- Leads projects with minimal supervision
- Serves as a change agent by improving team processes and workflows when issues or gaps are identified
- Serves as an expert in a given area, including the data, semantic model, and business workflow
- Serves as a moderator, leader, or channel owner for a forum such as Duke Analytics Community or another professional networking organization

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Team Lead Work Performed at a Minimum

- Meets all Competencies in Level 3 AND:
- Provides day-to-day leadership, guidance, and oversight for a team of Analytics Engineers across multiple experience levels
- Aligns team priorities, project assignments, and resource utilization with departmental goals and the strategic objectives of the Chief Data and Analytics Officer (CDAO) organization
- Provides technical leadership for the design, development, deployment, optimization, and support of enterprise data assets, data pipelines, semantic models, analytics solutions, and reporting platforms
- Conducts regular one-on-one meetings, provides coaching and mentorship, completes performance reviews, and supports the professional development and career growth of assigned team members
- Reviews and approves paid time off requests and monthly timecards while ensuring appropriate team coverage and operational continuity
- Leads team meetings and serves as an escalation point for complex technical, operational, and customer issues, facilitating timely resolution and effective communication
- Coordinates team workload and project assignments to support the successful delivery of analytics initiatives, operational commitments, and strategic objectives
- Establishes and reinforces standards and best practices for analytics engineering, including data modeling, semantic modeling, documentation, quality assurance, source control, deployment, governance, and change management
- Collaborates with business, clinical, operational, analytics, and technical stakeholders to ensure successful delivery of analytics solutions and exceptional customer service
- Participates in candidate interviews as needed, provides input during the selection process, and recommends team members for promotion to the manager or director
- Promotes accountability, innovation, collaboration, knowledge sharing, and continuous improvement while keeping leadership informed of project risks, staffing concerns, performance issues, and operational challenges

Behaviors and Soft Competencies

Advancement to Level 3 or above requires an employee, at a minimum, to successfully attain the following:

The following measures support a fair and comprehensive evaluation process for promotions and help ensure that employees are recognized and provided opportunities to advance.

- Proven ability to work at the next level: This involves demonstrating the skills and competencies required for the next level of responsibility. Employees should have demonstrated that they can handle tasks and challenges that are typically associated with a higher position.
- Potential to serve beyond the next level: This measure looks at the employees’ long-term potential and their ability to grow within the organization. The employee should have the vision, ambition, and capability to take on even greater responsibilities in the future.
- Consistently demonstrates a values-based approach in how they work: Employees should consistently exhibit behaviors and decision-making processes that align with DUHS values. The exhibited values are integrity, teamwork, diversity, excellence, and safety. Patient focus is also critical to success.
- Is considered one of the top performers at their level across the organization: This measure evaluates the employee's overall performance and reputation within DHTS. Top performers are often recognized for their exceptional contributions, reliability, and ability to exceed expectations. Selection is based on demonstrated readiness and merit.

Required Qualifications

Education and Training

Bachelor's degree in a related field or four years of equivalent technical experience is required.

Licensure and Certification

None required. Certification in Epic Cogito, a Cogito data model, or an analytics engineering technology such as Microsoft Fabric is preferred.

Experience

- Level 1: No experience is required beyond the minimum education or equivalency requirement.
- Level 2: Two years of directly related experience is required. Prior experience with Microsoft Fabric, GitLab, and CI/CD practices is preferred.
- Level 3: Four years of directly related experience is required. Prior experience with Microsoft Fabric, GitLab, and CI/CD practices is preferred.
- Team Lead : 5+ years of related experience, including approximately 3+ years of demonstrated leadership through projects, initiatives, mentoring, coordination or technical direction.

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.