Job Title & Specialty Area: Analytics Engineer III (Microsoft Fabric, Power BI) Department: Enterprise Data and Analytics Location: Dallas, TX Shift: 8:00 am to 5:00 pm Job Type: Remote Why Children's Health? At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal. Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being. Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all. Summary: Under minimal direction of data & analytics engineering leadership, the Analytics Engineer III will lead analytics engineering at scale for complex healthcare domains (e.g., enterprise surgical analytics, clinical outcomes, enterprise supply chain analytics), design semantic and product solution architectures (metrics stores, knowledge graphs), embed governance controls, shape analytics federated delivery, and mentor teams to raise analytics engineering maturity. This role will be working closely with operational stakeholders, product team members, and data stewards to ensure successful delivery of analytics products that support business goals. Analytics engineers bridge data engineering and analytics development to deliver analytics-ready data assets, semantic layers, metric stores, analytics models/marts, and operationalized anlaytics products for clinical and operational domains at Children's Health. This role family supports domain-aligned analytics, federated CI/CD and lifecycle management for analytics artifacts, and close collaboration with clinical, financial, supplychain and operational stakeholders. Responsibilities: Core Responsibilities: - Prepare and model analytically ready datasets; implement and maintain semantic layers, metrics stores or data marts; apply data engineering best practices to analytics (version control, CI/CD, environment management); collaborate with BI analysts, data scientists and domain stakeholders to operationalize analytics products; ensure alignment with governance and data quality requirements Level Specific Requirements: - Architect and govern domain semantic layers, metrics stores and knowledge-graph integrations that combine structured and unstructured clinical, operational and supplychain data to enable conversational analytics and agent-driven workflows - Drive analytics engineering best practices enterprise-wide: code/version control, CI/CD, testing, performance engineering, metadata governance and observability to ensure high model/analytics uptime and low defect rates - Ensure analytics products meet regulatory, privacy and security requirements for healthcare data; partner with governance, ARB and security teams for AI/analytics artifacts that impact clinical workflows - Lead cross-functional delivery for high-impact use cases (procedural analytics driving clinician behavior, demand planning integrated with scheduling/EHR, control tower for inventory and disruption management) - Mentor and upskill analytics engineers and BI teams; define role progression, create repeatable delivery patterns and measure analytics engineering maturity and business impact - Strategic domain ownership, stakeholder influence, ability to articulate ROI and value, mentor/lead technical teams and represent analytics engineering in architecture/governance forums - Shapes analytics engineering strategy and delivers high-impact analytics initiatives with minimal supervision - Technical and project oversight and mentorship to junior engineers and product analysts Healthcare domain considerations: - Work with EHR/clinical data and supply‑chain/ERP data sources, follow interoperability expectations (FHIR/HL7 awareness for clinical integrations), support clinical analytics use cases (procedural analytics, outcomes measurement, preference card analytics) and supply‑chain analytics (spend, contract, inventory visibility) when relevant Engineering practices to measure and apply: - Version control of analytics content, separate dev/test/prod environments, workflow orchestration, metadata/cataloging and performance testing to improve model uptime, adoption, code quality and defect resolution Governance & risk: - Adhere to organizational data governance, privacy and security requirements (e.g., HIPAA-relevant controls), and collaborate with governance or ARB where analytics/AI artifacts will be used in clinical or high-risk contexts How You’ll Be Successful: WORK EXPERIENCE - At least 6 years Across data engineering, analytics engineering or analytics platform roles with proven experience in semantic architecture, metrics stores and production CI/CD Req - At least 6 years Deep expertise in metrics stores, semantic layer design, knowledge graph/ontology concepts, advanced SQL, Python and production orchestration, platform experience (Snowflake/Databricks/MS Fabric) and BI tool optimization Req - At least 6 years Experience embedding analytics/AI governance controls into architecture (logging, monitoring for drift, access controls, traceability) and working with ARBs for regulated/AI-enabled analytics products Req - At least 6 years Leadership and project management skills; Strategic vision for analytics engineering Req - At least 6 years Strategic domain ownership, stakeholder influence, ability to articulate ROI and value, mentor/lead technical teams and represent analytics engineering in architecture/governance forums Req - At least 3 years Demonstrated healthcare domain experience (EHR/ERP integration, clinical of supply chain analytics) Pref - At least 3 years Exposure to machine learning, data science, or artificial intelligence concepts Pref EDUCATION - Four-year Bachelor's degree or equivalent experience In Computer Science, MIS, Engineering, or related field is required LICENSES AND CERTIFICATIONS - Analytics related certifications (e.g. Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan requirement to be provided with offer includes missing relevant certifications needed to perform role, and certifications must be obtained within 180 days of starting is required A Place Where You BelongWe put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children’s Health a place where everyone can contribute. Holistic Benefits – How We’ll Care for You: · Employee portion of medical plan premiums are covered after 3 years. · 4%-10% employee savings plan match based on tenure · Paid Parental Leave (up to 12 weeks) · Caregiver Leave · Adoption and surrogacy reimbursement As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.

Build your Career at Cooper Equipment Rentals We are looking for customer-oriented, motivated individuals to join our professional team. Please note, to be considered for this position applicants should currently be residing in Canada and legally entitled to work. Why Work with Us? Perks! - Competitive salary - Excellent benefit package with premiums paid by the company - RRSP Match - Safety-minded organization - Stable, year-round employment - Continuous training, learning and development opportunities - Fun-loving work environment with strong social responsibility Role Overview We are seeking a Senior Power BI Developer to lead the design, optimization, and governance of enterprise semantic models and reports across the business. This is not a basic dashboard-authoring role. You will operate as a senior technical lead for Power BI and the semantic layer: shaping dimensional models, DAX patterns, report standards, performance tuning, deployment discipline, and AI readiness for Copilot and Fabric data agents. You will work closely with data engineers, analytics stakeholders, and platform leaders to ensure Fabric data products are performant, reusable, secure, and easy for the business to consume. What You'll Be Doing Duties and Responsibilities: - Design enterprise semantic models using strong dimensional modeling, reusable measures, hierarchies, calculation groups. - Build high-quality Power BI reports and self-service templates with strong usability, accessibility, storytelling, and performance. - Optimize models and reports using DAX best practices, simplification, query reduction, and tools such as Performance Analyzer, DAX Studio. - Develop Direct Lake semantic models in Fabric and understand when Direct Lake, import, or composite approaches are appropriate. - Partner with data engineering on lakehouse/warehouse design, curated tables, SQL endpoints, and refresh strategies for a stable semantic layer. - Establish standards for naming, measure design, calculation groups, documentation, certification, and release management. - Apply modern lifecycle practices including Git integration, deployment pipelines, workspace discipline, and TMDL where appropriate. - Prepare models for AI-assisted analytics through business-friendly schemas, verified answers, AI instructions, and strong metadata. - Support secure, governed analytics through effective RLS/OLS, workspace standards, endorsement, and OneLake-aligned governance. - Monitor adoption, refresh health, semantic model quality, and Fabric activity using Monitoring Hub, capacity insights, and service diagnostics. - Support near-real-time reporting where justified, partnering with teams using Real-Time Intelligence or event-driven patterns. - Mentor developers and raise standards across Power BI, semantic modeling, report design, and Fabric practices. What You'll Bring to the Team Qualifications and Requirements: - Bachelor's degree in computer science, information systems, data analytics, mathematics, software engineering, business analytics, finance, economics, or a related field, or equivalent practical experience. Master’s degree is an asset. - 5+ years in BI / analytics development, including substantial hands-on experience designing enterprise Power BI semantic models and reports. - Expert-level DAX, strong knowledge of VertiPaq and semantic model performance tuning, and deep experience with star schema / dimensional design. - Strong SQL skills and the ability to work effectively with curated analytical data in lakehouse, warehouse, or SQL endpoint patterns. - Hands-on Microsoft Fabric experience, especially with Power BI, OneLake, semantic models, Direct Lake, lakehouse / warehouse integration, and Fabric workspace governance. - Experience with calculation groups, field parameters, reusable measure patterns, and model organization for enterprise-scale reporting. - Experience with RLS/OLS, security-aware model design, and governed self-service reporting. - Experience with Git-based workflows, deployment pipelines, and structured promotion of Power BI / Fabric content across environments. - Strong communication skills and the ability to translate business questions into durable semantic-layer and reporting solutions. Nice to Have - Experience with Tabular Editor, XMLA / TOM / TMDL, Power BI REST APIs, or semantic model automation. - Experience preparing models for Copilot, Prep for AI, verified answers, or Fabric data agents. - Exposure to Fabric notebooks, Spark SQL / PySpark, or Data Factory pipelines. - Experience with paginated reporting, legacy SSRS modernization, or migration of legacy BI assets into Fabric. Want to learn more about this as well as other opportunities at Cooper? Visit our Careers page to view Day in the Life videos cooperequipment.ca/careers. We passionately believe that our inclusive and diverse team is key to the success of our business. We are dedicated to building an environment where everyone has an equitable opportunity to thrive, and where diversity, equity and inclusion is celebrated and embraced. We strive to hire diverse talent and to ensure that everyone feels safe, respected, and valued during the hiring process and throughout their journey with us. To continue the conversation, or if you require accommodations, reach out to our team at careers@cooperequipment.ca.

Langue requise :Anglais requis (français intermédiaire à avancé) Heures de travail par semaine :35 heures par semaine Type de poste : à distance / sur site :100 % télétravail (Québec ou Ontario) Durée de la mission en mois :11 mois À propos du posteNous recherchons un Analyste d’affaires BI pour contribuer à la conception et au déploiement de solutions analytiques au sein des opérations logistiques (Inbound & Outbound). Dans ce rôle, vous collaborerez avec les équipes d’affaires et TI afin de recueillir les besoins, structurer des solutions de reporting et développer des tableaux de bord à forte valeur ajoutée. Vous serez également impliqué dans la compréhension des données issues de SAP ECC, S/4HANA et des systèmes connexes, afin de transformer ces informations en insights exploitables. Ce poste offre une opportunité de travailler dans un environnement dynamique, orienté données, avec une forte autonomie et un impact direct sur la prise de décision. Exigences et compétences techniquesExigences principales : - 3 à 5 ans d’expérience en analyse d’affaires BI - Expérience en reporting (Power BI, Tableau ou équivalent) - Bonne maîtrise des concepts : - BI - Data Warehouse - Expérience avec : - Snowflake, Databricks ou équivalent - Expérience avec SAP ECC et/ou SAP S/4HANA - Expérience en analyse des besoins, modélisation et documentation - Capacité à traduire des besoins d’affaires en exigences fonctionnelles - Expérience en environnement d’entreprise de grande envergure Objectifs et livrables - Concevoir et déployer des solutions de reporting BI - Traduire les besoins d’affaires en livrables analytiques - Améliorer la qualité des données et la prise de décision - Soutenir les utilisateurs dans l’utilisation des outils BI - Contribuer à l’évolution de la plateforme data Responsabilités principales - Participer aux ateliers et réunions d’affaires pour recueillir les besoins - Concevoir et développer des tableaux de bord (Power BI, AI, autres outils BI) - Analyser les données provenant de SAP ECC, S/4 et autres systèmes - Traduire les besoins en exigences fonctionnelles et techniques - Proposer des solutions de visualisation et d’analyse adaptées - Prioriser les besoins et gérer les demandes (backlog, roadmap) - Collaborer avec les équipes TI et data pour assurer la livraison - Assurer le support des utilisateurs et l’évolution des solutions - Communiquer les résultats et insights aux parties prenantes Atouts - Expérience avec modules SAP : - EWM, MM, TMS - Expérience en méthodologie Agile - Expérience avec outils : - LucidChart, Collibra, Dataiku - Expérience en environnement international ou multi-sites En soumettant votre candidature, vous consentez à ce que Xideral recueille, utilise et conserve vos renseignements personnels uniquement à des fins de recrutement et de sélection pour ce poste ou pour des opportunités similaires en lien avec vos domaines d’expertise. Vos informations seront traitées de manière confidentielle et conformément à la Loi 25 sur la protection des renseignements personnels du Québec. Vous pouvez en tout temps demander l’accès, la rectification ou la suppression de vos données en nous contactant à l’adresse suivante : contact@xideral.ca.

• Design, develop, and maintain Power BI dashboards and reports to support business operations. • Ensure data accuracy and consistency across all reports. • Analyze data trends and provide insights to improve business performance. • Develop automated reporting solutions to streamline data analysis processes. • Meet with decision makers, data owners, and end users to define reporting requirements and goals; develop reporting procedures, models, and protocols. • Stay current with industry trends and best practices in data visualization and analytics.