{"id":3651107,"url":"https://alion.io/job/duke-health-developer-analytics-engineer-level-2","title":"Developer - Analytics Engineer - Level 2","company":{"id":14457,"name":"Duke Health","domain":"dukehealth.org","url":"https://alion.io/company/duke-health","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":21,"ghost_share":0,"stale_share":0.095,"repost_share":0.19,"time_to_fill_p50_days":20,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Durham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"GitLab","optional":true},{"name":"Python","optional":true},{"name":"SSIS","optional":true},{"name":"Tableau","optional":true},{"name":"Unix","optional":true}],"status":"closed","first_seen_at":"2026-11-03T00:09:10Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T13:44:10Z","board_verified":false,"closed_at":"2026-11-04T13:44:10Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"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.\nAbout Duke Health Technology Solutions\nPursue 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.\nThe 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.\nThe 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.\nKey Responsibilities\nPartner with clinical, operational, and business stakeholders to understand needs, establish priorities, and develop data-driven solutions supporting strategic and operational objectives.\nServe as a trusted analytics advisor by proactively communicating project progress, risks, dependencies, and opportunities to stakeholders.\nDesign, develop, validate, document, and maintain reporting, semantic models, dashboards, and analytics solutions that provide accurate, timely, and actionable information.\nDevelop and maintain SQL queries, data transformations, reusable data assets, and governed analytics solutions supporting clinical, operational, quality, patient safety, and performance improvement initiatives.\nContribute to the organization’s transition to Microsoft Fabric by developing and supporting modern data pipelines, data models, semantic models, and Power BI solutions.\nTranslate complex healthcare data and analytical findings into clear, meaningful insights for audiences ranging from operational teams to senior leadership.\nCollaborate with multidisciplinary teams to improve data collection, reporting efficiency, data quality, governance, and operational performance.\nParticipate in analytics engineering best practices, including documentation, source control, peer review, testing, deployment, and ongoing solution support.\nManage multiple assignments and projects while maintaining clear communication and delivering solutions that meet customer and organizational needs.\nPreferred Qualifications\nExperience working in a healthcare environment with an understanding of clinical operations, quality improvement, patient safety, regulatory reporting, or performance improvement.\nEpic certification or demonstrated proficiency with Epic Clarity, Caboodle, Cogito, or other Epic clinical and operational data models.\n Experience with Microsoft Fabric and Power BI, including semantic models, Lakehouse, Data Warehouse, Dataflows, Pipelines, or related analytics capabilities.\nExperience developing dashboards, scorecards, reports, and self-service analytics solutions using Power BI, Tableau, or similar business intelligence platforms.\nStrong SQL development, dimensional modeling, semantic modeling, and analytical problem-solving skills.\nExperience developing ETL/ELT processes, data pipelines, and modern analytics engineering solutions.\nExperience with Git, GitLab, Azure DevOps, source control, peer review, or CI/CD deployment practices.\nStrong communication skills and the ability to translate business and technical requirements into effective analytics solutions.\nLevel 1 Work Performed at a Minimum\nWorks as an individual contributor under the direct supervision of a Level 3 or above and collaborates as a member of a team\nDemonstrates a basic understanding of core data platforms (Clarity and Caboodle) and the underlying data structures relevant to the assigned role or domain\nDemonstrates a basic understanding of analytics and BI technologies and terminology relevant to the role\nTransforms data into meaningful deliverables using analytics and BI tools\nTranslates business and technical requirements into assigned deliverables, such as data extracts or reports\nDemonstrates basic knowledge of SQL query debugging\nFollows all DUHS, DHTS, and ACE policies and procedures applicable to the role\nResponds to customer requests for assistance as assigned and prioritized by the manager\nMaintains timely, clear, concise, and accurate communication with the manager, business analyst, or analytics partner (customer) keeping them apprised of request status\nMaintains appropriate analytics engineering documentation and metadata, such as GitLab artifacts or data dictionaries, as assigned\nLevel 2 Work Performed at a Minimum\nMeets all Competencies in Level 1 AND:\nWorks with new hires and Level 1 team members to use the tools and technologies required to perform their job duties\nDemonstrates advanced knowledge of the assigned domain, including related data, workflows, tools, and semantic models\nDemonstrates the ability to work with stakeholders to understand business needs and perform business analysis independently >75% of the time\nTranslates business requirements into technical, data, and semantic model requirements independently >75% of the time\nWrites and modifies accurate SQL queries independently >90% of the time\nDemonstrates basic knowledge of SQL query performance tuning\nWrites complex SQL inclusion and exclusion criteria for cohort development\nMentors team members on SQL questions and query tuning\nLocates data elements independently >75% of the time\nDemonstrates knowledge and utilization of basic data design and infrastructure\nParticipates in peer reviews of SQL, data transformations, and semantic model designs\nActively participates in data quality assurance and submits requests for new or enhanced data structures, tables, and attributes\nActively participates in special projects and effectively completes project assignments with minimal supervision\nManages multiple projects to completion in a timely manner\nDevelops and presents topics as assigned or needed by the customer and/or ACE team\nActively participates in the Duke Analytics Community or other professional forums applicable to the role\nLevel 3 Work Performed at a Minimum\n Meets all Competencies in Level 2 AND:\nDemonstrates 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)\nServes as the team expert and resource in SQL, data modeling, and semantic modeling\nDemonstrates expertise in locating required data elements and assists team members as needed\nTrains team members in advanced skills for using tools and technologies to accomplish job duties\nDemonstrates 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\nDemonstrates knowledge and appropriate use of fundamental statistics to support data interpretation, stakeholder communication, and effective visualization design\nDemonstrates the ability to work independently to solve problems and complete assigned work >95% of the time\nDemonstrates the ability to work with customers to understand business needs or problems independently >95% of the time\nLeads projects with minimal supervision\nServes as a change agent by improving team processes and workflows when issues or gaps are identified\nServes as an expert in a given area, including the data, semantic model, and business workflow\nServes as a moderator, leader, or channel owner for a forum such as Duke Analytics Community or another professional networking organization\nTeam Lead Work Performed at a Minimum\n Meets all Competencies in Level 3 AND:\nProvides day-to-day leadership, guidance, and oversight for a team of Analytics Engineers across multiple experience levels\nAligns team priorities, project assignments, and resource utilization with departmental goals and the strategic objectives of the Chief Data and Analytics Officer (CDAO) organization\nProvides technical leadership for the design, development, deployment, optimization, and support of enterprise data assets, data pipelines, semantic models, analytics solutions, and reporting platforms\nConducts regular one-on-one meetings, provides coaching and mentorship, completes performance reviews, and supports the professional development and career growth of assigned team members\nReviews and approves paid time off requests and monthly timecards while ensuring appropriate team coverage and operational continuity\nLeads team meetings and serves as an escalation point for complex technical, operational, and customer issues, facilitating timely resolution and effective communication\nCoordinates team workload and project assignments to support the successful delivery of analytics initiatives, operational commitments, and strategic objectives\nEstablishes and reinforces standards and best practices for analytics engineering, including data modeling, semantic modeling, documentation, quality assurance, source control, deployment, governance, and change management\nCollaborates with business, clinical, operational, analytics, and technical stakeholders to ensure successful delivery of analytics solutions and exceptional customer service\nParticipates in candidate interviews as needed, provides input during the selection process, and recommends team members for promotion to the manager or director\nPromotes accountability, innovation, collaboration, knowledge sharing, and continuous improvement while keeping leadership informed of project risks, staffing concerns, performance issues, and operational challenges\nBehaviors and Soft Competencies\nAdvancement to Level 3 or above requires an employee, at a minimum, to successfully attain the following:\nThe following measures support a fair and comprehensive evaluation process for promotions and help ensure that employees are recognized and provided opportunities to advance.\nProven 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.\nPotential 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.\nConsistently 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.\nIs 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.\nRequired Qualifications\nEducation and Training\nBachelor's degree in a related fiel...","description_format":"text","description_chars":14003,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hospitals & Health Systems","Medical Education & Training"],"lifecycle":[{"event":"open","at":"2026-11-03T00:09:10Z"},{"event":"close","at":"2026-11-04T13:44:10Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/duke-health-developer-analytics-engineer-level-2","json_url":"https://alion.io/job/duke-health-developer-analytics-engineer-level-2.json","meta":{"generated_at":"2026-11-04T18:05:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27792,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":14457},"rest":"https://alion.io/mcp/rest/get_company?id=14457"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fduke-health-developer-analytics-engineer-level-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fduke-health-developer-analytics-engineer-level-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fduke-health-developer-analytics-engineer-level-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/duke-health-developer-analytics-engineer-level-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fduke-health-developer-analytics-engineer-level-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3651107}},{"tool":"search_jobs","arguments":{"company":"dukehealth.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3651107},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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