• Build and maintain efficient ETL pipelines across EHRs, HRIS, financial systems, and other sources • Optimize data models for performance and scale • Ensure data quality through validation and cleansing processes • Partner with cross‑functional teams to translate business needs into data solutions • Design scalable Star Schemas aligned with business requirements • Develop interactive Tableau dashboards and reports for KPIs like turnover, labor costs, and satisfaction scores • Tailor visualizations for executives, HR, operations, and clinical teams • Work closely with teams to deliver data solutions that meet their needs • Communicate technical concepts clearly to technical and non‑technical stakeholders • Document pipelines, models, and dashboards for maintainability • Mentor junior engineers and share best practices

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is responsible for leading the technical strategy and execution of a complex data ecosystem, transforming legacy systems into a modular, high-performance architecture. You will architect scalable solutions, define data standards, and optimize performance across analytics pipelines. - Lead the migration of large-scale, legacy data models into a modular Medallion Architecture to improve maintainability and scalability. - Define and enforce standards for data contracts, naming conventions, testing frameworks, and governance across analytics projects. - Optimize performance and efficiency in data warehouses, workflows, and DAGs to reduce costs and improve query speed. - Mentor and provide technical guidance to Senior and Mid-level engineers, elevating the overall technical bar. - Collaborate with business stakeholders and analysts to ensure infrastructure supports both immediate analytics needs and long-term strategic growth. - Drive architectural vision, identify systemic inefficiencies, and implement elegant solutions that balance simplicity and scalability. Qualifications - 8+ years of experience in analytics engineering or data architecture, with a strong track record of migrating complex legacy environments. - Expert-level knowledge of dbt, including multi-project dependencies and refactoring large-scale pipelines without breaking downstream systems. - Advanced proficiency in Python for data operations, Airflow for orchestration, and version control/CI-CD practices. - Strong architectural vision with the ability to design simple, elegant abstractions from complex data environments. - Proven ability to influence cross-functional teams and stakeholders without direct authority. - Experience with performance optimization, scalability, and governance in data warehouse environments (e.g., Snowflake). - Excellent problem-solving, mentoring, and collaboration skills in a fast-paced, mission-driven environment. Benefits - Competitive base salary range of $140,000—$192,000 USD, with potential for equity and variable pay. - Health, dental, and vision benefits with additional wellness resources. - Flexible hybrid or fully remote work arrangements, with resources to set up a productive home office. - Opportunities to work on high-impact analytics projects in a fast-growing, data-driven platform. - Mentorship and professional growth in advanced data engineering practices and architecture. - Inclusive, collaborative environment emphasizing innovation, quality, and long-term infrastructure health.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Manager, Business Analytics is a key member of the Novolex Business Intelligence and Procurement organization. In this role, you will lead the development of advanced analytics and automation solutions that support pricing, category strategy, and commercial decision-making. - Partner with business leaders to translate data into scalable insights and operational tools - Oversee a team of Category Analysts responsible for designing, developing, and standardizing scalable analytics, dashboards, data automation, and reporting - Enable strategic procurement decisions, enhance category performance visibility, and streamline processes across the business - Thrive in a fast-paced environment with strong analytical acumen and a “business owner” mindset Responsibilities - People Leadership - Lead, coach, and develop a team of 2–3 Category Analysts - Set analytical priorities aligned with category and business strategy - Ensure consistent methodology, documentation, and quality across all analytics deliverables - Analytics & Reporting - Own development, delivery, and maintenance of dashboards and analytics for: - Category performance - Supplier metrics - Savings and value tracking - Spend visibility - Translate business needs into scalable analytical and reporting solutions - Ensure high data accuracy, consistency, and business relevance - Communicate insights clearly and concisely to stakeholders at all levels - Automation & Process Improvement - Identify and implement automation opportunities for recurring reports, manual data preparation, and repetitive analyses - Drive adoption of Power BI, Power Query/Power Automate, and SQL/scripting tools across the team - Standardize processes and develop repeatable analytical frameworks and data products - Stakeholder Partnership - Serve as the analytics partner to procurement category leadership - Support category strategies with opportunity sizing, scenario modeling, trend analysis, KPI reporting, and data modeling - Collaborate with internal operational, procurement, and finance stakeholders to deliver accurate, actionable insights Qualifications - 5–8 years of experience in analytics, business intelligence, or business analysis roles - 2+ years of people leadership experience - Strong Power BI and data-modeling expertise - Demonstrated experience with automation, including data preparation and reporting workflows - High analytical capability with strong attention to detail - Excellent communication, organizational, and prioritization skills - Experience supporting procurement, finance, or operations preferred Preferred Qualifications - BA/BS in Business, Analytics, Supply Chain, Finance, Data Science, or related field - Experience modernizing reporting processes and establishing enterprise dashboards - Exposure to SAP, Blue Yonder, or other enterprise data systems - Prior experience with advanced analytics tools, scripting languages, or large-scale BI environments Requirements - A reasonable estimate of the current range is $109,300-182,100 + bonus + benefits - Individual pay is determined by job-related skills, experience, and relevant education or training Benefits - 401(k) plan with company match - Comprehensive medical, dental, and vision insurance - Flexible spending and health savings accounts - Paid vacation and sick days - Paid parental leave - Paid holidays and wellness program

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.