Role Description FableticsOS is looking for a Senior Data Analytics Engineer to strengthen the data foundations of our Global Supply Chain and Merchandise Planning domains. You will model and build the data that powers how we move product around the world and decide what to make and buy — connecting logistics, sourcing, ERP, and planning systems into trusted, reusable data products. As a Senior Data Analytics Engineer, you will design and build scalable, high-quality data models and pipelines that support our supply chain and merchandise planning organizations. You'll lead technical design, establish engineering standards, and deliver analytical data products end-to-end—from discovery and architecture through implementation. Partnering closely with planning, sourcing, logistics, and commercial teams, you'll translate business needs into data solutions that improve planning, forecasting, and operational decision-making. This role focuses on two primary domains: - Logistics & Supply Chain Visibility: Integrate ETA, transit, freight, and landed-cost data from logistics platforms into Snowflake, combining it with PLM, ERP, and planning data to improve purchase order planning and visibility. - Planning Platform Data Architecture: Own the data feeds and integrations that power our supply chain and merchandise planning platform, ensuring data integrity while supporting expansion into assortment, production, and capacity planning. Supporting both areas is a strong foundation in our enterprise data warehouse (EDW), including core models, standards, and architectural principles that underpin all analytics and data engineering work across the organization. Qualifications - 6+ years of experience in a data or software-adjacent field, working with systems and data infrastructure at scale. - Experience designing and implementing mature data pipelines across a data lake and Enterprise Data Warehouse (EDW), using Dimensional (Kimball) modeling methodologies. - Experience integrating data across fragmented or disparate source systems into coherent, reliable data products. - Experience with ELT/ETL tooling and workflow orchestration (e.g., Apache Airflow). - Strong experience with relational databases and SQL in an analytical context. - Experience with data exploration, visualization, and data storytelling. - Excellent written and spoken communication, with a proven ability to work with a wide range of both technical and non-technical stakeholders. - Highly skilled at writing and maintaining high-quality, reusable code, applying design patterns and meeting coding standards. - A pragmatic adopter of AI in your own work — you use LLMs and AI-assisted tooling to accelerate development, code review, documentation, and data exploration, with good judgment about where they help and where they don't. - Track record of independently owning complex, ambiguous data initiatives end-to-end — making the architectural decisions, setting standards, and influencing technical direction across teams. - Experience with Snowflake, Airflow and Tableau is preferred. Requirements - Integrate logistics and planning data: Bring logistics visibility data (ETAs, transit times) into Snowflake and connect it with PLM, ERP, and planning sources for accurate PO loading and freight/landed-cost estimates. - Build trusted, reusable data products: Connect disparate supply chain and merchandising datasets into curated data products across our data lake and EDW, with reliable, well-defined metrics that power self-serve analytics across teams. - Own data quality and integration integrity: Take ownership of data quality across fragmented upstream systems — building the monitoring and controls that keep critical feeds reliable and integrations healthy as the planning landscape evolves. - Model data using best practices: Apply established Data Warehousing methodologies, primarily Dimensional (Kimball) modeling. - Turn complexity into insight: Transform large, complex datasets into actionable insights, delivered in a consumable format for historical and predictive analysis. - Perform data governance: Handle technical stewardship, data classification, compliance, and security considerations. - Validate before release: Build data visualizations to trial and validate data products before releasing them to customers. Benefits - Hybrid Work Schedule* - Discretionary Paid Time Off* - Summer Fridays* - Healthcare Plans - Employee Discounts - 401k - Annual Bonus Program - Equity Program* - And More *Varied for retail, fulfillment and fully remote roles. The annual base salary range for this position is from $120,000-$140,000. The range provided includes the base salary that FableticsOS expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate’s related work experience, subject matter expertise and work location.

Role Description The Data Analytics Engineer 3 is responsible for designing and creating tables within data marts, data lakes, and data warehouses, along with all related extraction, transformation, and load of data functions. The role involves: - Building systems that collect, manage, and convert raw data into usable information for analytics developers and business analysts. - Making data accessible for organizations to evaluate and optimize performance. - Developing and testing architectures for data extraction and transformation for predictive or prescriptive modeling. - Expanding and optimizing data and data pipeline architecture. - Optimizing data flow and collection for cross-functional teams. - Taking direction and guidance from lead data engineers and department leadership. - Mentoring junior data engineers and promoting data education across the organization. Qualifications - Required: Bachelor's Degree in Business, Computer Science, Engineering, Information Systems, Public Health, or related field. - Preferred: Master's Degree in Computer Science, Business, Healthcare Management, Information Systems, or related field. - 5 years of experience building data pipelines using ETL technologies such as SSIS or Informatica. - 3 years of SQL development with SQL Server/Oracle environment (Required). - 2 years of experience with cloud data platforms and associated tools such as MS Azure, AWS, or GCP (Required). Requirements - Deep understanding of modern data architectures, including lakehouse design patterns and scalable data processing approaches. - Hands-on experience with Azure data platforms, including ADLS, Azure Data Factory (ADF), Databricks, and related lakehouse technologies. - Strong experience designing and implementing metadata-driven, scalable data pipelines. - Proficiency in Python and PySpark for building data pipelines, transformations, and distributed processing workloads. - Experience integrating data across systems using APIs and other modern data connectivity patterns. - Proficiency with DevOps and DataOps practices, including CI/CD for data pipelines and cloud infrastructure. - Advanced SQL skills with experience managing and optimizing relational data platforms. - Familiarity with Microsoft Fabric is a plus. - Experience with healthcare data platforms such as Epic Cogito is a plus. Benefits - Comprehensive benefit offerings for eligible employees. - Overview available on the benefit section of our career site: jobs.franciscanhealth.org.

Role Description In your new role as an Analytics Engineer at i6 you will be responsible for designing, building, and maintaining complex data models using dbt (Jinja, Macros, Incremental strategies) and managing high-availability ingestion pipelines. You will focus on the "build" phase of the data lifecycle—implementing DataOps best practices, including CI/CD via GitHub Actions and automated testing frameworks. You will optimise warehouse performance (BigQuery/Snowflake) to support millions of rows of data and collaborate across teams to ensure data contracts are met and data quality is guaranteed before it reaches the end-user. What you will do - Own the Transformation Layer: Design, build, and maintain complex dbt models to power internal BI and external customer analytics. - Pipeline Management: Manage and monitor data ingestion pipelines to ensure high availability and low latency. - Performance Tuning: Optimise cloud data warehouse costs and query performance (clustering, partitioning) for sub-second response times. - Data Quality & Testing: Build and maintain automated testing frameworks (dbt test, Great Expectations) to proactively catch data issues. - DataOps: Maintain CI/CD pipelines (GitHub Actions) for data deployment, applying software engineering principles to data workflows. - Collaboration: Partner with Data Analysts to provide clean models and work with the Data Engineering Lead on architectural infrastructure decisions. - Technical Documentation: Document data models, macros, and transformation logic clearly to ensure team scalability. Qualifications - 3-4+ years of experience in Data or Analytics Engineering. - Expert SQL: Ability to write complex window functions, optimise joins, and debug query plans. - dbt Expertise: Deep hands-on experience in production (snapshots, incremental models, custom generic tests, Jinja/Macros). - Cloud Data Warehousing: Deep understanding of BigQuery or Snowflake, specifically clustering and partitioning strategies. - Version Control: Expert-level comfort with Git, branching strategies, and Pull Request workflows. - Orchestration: Experience with Airflow, Dagster, or similar tools. - NoSQL Knowledge: Understanding of NoSQL structures and how to transform them into relational models. - Data Contracts: Understanding of data contracts and their role in pipeline stability. Requirements - Experience with Google Cloud Platform (GCP) and its data services (BigQuery). - Familiarity with Infrastructure-as-Code (Terraform). - Experience with Containerization (Docker). - Programming proficiency in Python for automation and data manipulation. Benefits - 25 days annual leave + your birthday day off. - Private healthcare. - 5% pension contribution.

Title: EPIC Analytics and Reporting Engineer- Project- Senior Consultant Location: Remote - United States Job Description: Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals Work you'll do As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps. - Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems - Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR - Work on Epic upgrades and Nova Notes - This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic - This resource needs to work on content management activities - Excellent documentation skills such as - Application understanding, change management etc. - This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities - Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders - This resource will also work with end-users to help communicate enhancements/improvements needed for business processes - This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care - Experience with healthcare domains and concepts - Understanding of Agile methodologies - Experience with Business concepts, processes, information, and data - Exceptional problem-solving skills - Excellent written and verbal communication skills The Team Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Qualifications Required - Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience - Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules - 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities - Experience with US healthcare reporting data models - Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis. Preferred - Experience in new Report builds, Modifications and analysis on existing reports - Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool - Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred - Can operate independently or with minimum supervision - Excellent written and communication skills Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.