Role Description The Looker BI Developer is responsible for spearheading the migration of a large and complex portfolio of Tableau dashboards to Looker, establishing a new Looker ecosystem, and subsequently owning its product roadmap, governance, and continuous improvement. As the primary product owner, you will bridge the gap between business needs and technical execution. A deep, hands-on expertise in Looker and LookML will be critical in shaping our analytics future and empowering data-driven decisions for our clients. Responsibilities - Looker Platform Product Strategy & Vision - Define and champion the vision, strategy, and roadmap for our Looker BI platform, aligning with business objectives and stakeholder needs. - Translate complex business requirements into clear, actionable user stories, epics, and technical specifications for Looker development. - Prioritize features and enhancements based on business impact, technical feasibility, and user feedback. - Act as the primary subject matter expert for Looker, advising stakeholders on best practices, capabilities, and limitations. - Large-Scale Tableau to Looker Migration Leadership - Develop and execute a comprehensive strategy for migrating a large and diverse portfolio of existing Tableau dashboards and reports to Looker. - Conduct thorough discovery and comparative analysis of Tableau reports, ensuring accurate translation of business logic, metrics, and visualizations into Looker. - Design and implement scalable LookML models that effectively represent our underlying data warehouse structures. - Ensure data consistency, accuracy, and validation throughout the migration process, meticulously testing against source systems. - Collaborate closely with Data Engineering to optimize underlying data structures and pipelines for Looker's performance and scalability. - Manage the change management process, including communication, training, and support for users transitioning from Tableau to Looker. - Advanced Looker Development & Governance - Hands-on design, development, and optimization of sophisticated LookML models, including Explores, Views, Models, Persistent Derived Tables (PDTs), data groupings, and caching strategies. - Leverage advanced LookML techniques such as Liquid templating, custom dimensions/measures, and parameters to create flexible and powerful analytics experiences. - Implement and enforce best practices for LookML style guides, code reviews, Git integration, and version control to maintain a clean, performant, and scalable Looker codebase. - Proactively monitor Looker performance, identify bottlenecks, and implement solutions for performance tuning on large datasets. - Champion the adoption of new Looker features, Looker Marketplace blocks, and industry best practices. - Continuous Improvement & Maintenance - Manage the bug backlog, incident resolution, and ongoing maintenance of Looker content. - Stay abreast of industry trends, emerging BI technologies, and the evolving data landscape to inform future platform enhancements. Qualifications - 3+ years of experience in Product Management, Business Intelligence, or Analytics roles, with a strong focus on data platforms. - 3+ years of proven hands-on expertise with Looker development, including advanced LookML modeling, Explores, PDTs, and performance optimization. - 2+ years of experience leading or significantly contributing to a large-scale BI platform migration. - Strong background with Tableau development, administration, and features to effectively compare and translate reporting logic. Requirements - Technical Skills (must-have) - Expert-level proficiency in Looker and LookML: Deep understanding of LookML concepts, Views, Models, Explores, Refinements, Liquid Templating, Caching Policies, Persistent Derived Tables (PDTs), Data Groups, and performance tuning strategies within Looker. - Proficient with Git for LookML version control and collaborative development workflows. - Strong SQL skills, with experience querying large, complex datasets. - Excellent communication skills, including written, presentation, and story-telling. - Experience with modern cloud data warehousing platforms (e.g., Snowflake, Google BigQuery, AWS Redshift). - Familiarity with data governance best practices and tools. - Strong background with Tableau development, administration, and features to effectively compare and translate reporting logic. - Product Management Skills - Demonstrated ability to define product vision, strategy, and roadmaps. - Experience with Agile development methodologies (Scrum, Kanban). - Exceptional stakeholder management, communication, and presentation skills (both technical and non-technical audiences). - Strong analytical and problem-solving abilities, with a keen eye for detail. - Ability to balance business needs, technical constraints, and user experience. Nice to Have - Looker certifications (e.g., Looker Developer, Looker Admin). - dbt experience a big plus. - Experience in advertising, marketing, or media industries. - Familiarity with Python or R for data analysis or scripting. - Experience with data cataloging, metadata management, or data quality tools. - Experience with other BI tools (e.g., Power BI, Qlik Sense). Benefits - Paid Family Care for parents and caregivers for 12 weeks or more. - Monetary assistance and support for Adoption, Surrogacy, and Fertility. - Monetary assistance and support for pet adoption. - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance. - Tuition Assistance. - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more. - Matching Gifts programs. - Flexible working arrangements 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility). - Business Resource Groups that support multiple affinities and alliances.

Role Description Design and deliver interactive dashboards, reports, and visualizations using UKG Pro, Oracle FDI, Tableau, and Google Sheets to help stakeholders easily identify workforce trends and operational patterns. - Identify and eliminate bottlenecks in UKG Pro processes to maximize capacity utilization, optimize labor, and enhance both patient care delivery and operational efficiency. - Query and manipulate data from modern data storage systems using SQL, Python, R, and BigQuery to address complex WFM challenges and requirements. - Establish KPI targets and thresholds using historical data and utilize advanced statistical techniques or machine learning to analyze staffing levels, scheduling patterns, and labor costs. - Drive large-scale WFM analytics projects, identify efficiency reporting opportunities, and develop real-time solutions for agile operational decision-making. - Partner with ADSI and cross-functional teams to ensure data accuracy and integrity while advising on WFM best practices and service delivery models. Qualifications - High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required. - 3 years of leadership or management experience preferred. Requirements - Advanced proficiency as a UKG data expert and solutions specialist, with strong technical skills in Oracle Cloud, SQL, Python, R, and BigQuery. - Proven ability to balance multiple cross-functional priorities, manage large-scale WFM analytics projects, and support complex operational requirements. - Experience leveraging data-driven insights and scheduling analytics specifically aimed at optimizing healthcare operations or patient care delivery. Benefits - Paid time off (PTO) - Various health insurance options & wellness plans - Retirement benefits including employer match plans - Long-term & short-term disability - Employee assistance programs (EAP) - Parental leave & adoption assistance - Tuition reimbursement - Ways to give back to your community

• Conduct modeling and data analysis to support analytics, BI, and AI-enabled solutions. • Report to the Manager of Enterprise Data. • Partner with leaders across the Center of Excellence and Business Units. • Design, build, and document semantic and medallion models for BI dashboards and AI tools. • Advocate for data-driven culture by publishing data sources and building knowledge resources. • Analyze results to ensure data integrity and help improve data governance processes. • Collaborate on testing and documentation standards for model development. • Capture business rules and data quality requirements. • Partner to audit key dashboards in Tableau and Streamlit. • Participate in Agile/Scrum processes for solutions development. • Research new tools and practices for data systems effectiveness.

Role Description We are seeking a data-driven and operationally astute Senior Supply Chain Analyst to optimize warehouse fulfillment, demand planning, and material flows for our strategic, locked-in hyperscaler accounts. Operating within a premier B2B 3PL environment, this role serves as the critical node linking global inventory strategy with daily warehouse execution. The ideal candidate will have at least 5 years of experience managing complex, contractual enterprise logistics. You will own the capacity and workload planning for our global operations to meet stringent, high-stakes enterprise SLAs. What You'll Do - Warehouse Operations & Capacity Planning (Production Planning) - Operational Workload Scheduling: Translate hyperscaler demand into weekly and daily warehouse activity plans. - Throughput & Labor Modeling: Forecast floor capacity, floor space, and material handling equipment (MHE) required to prevent bottlenecks and ensure zero-delay dispatch in collaboration with Warehouse and Logistics leadership and procurement. - SLA & Queue Management: Monitor real-time warehouse backlog and processing metrics to ensure 100% compliance with rigid B2B contract timelines and KPIs. - Demand & Material Planning - Program Alignment: Analyze hyperscaler forecast, demand, project timelines, and regional hardware refresh cycles to generate accurate asset-handling demand plans. - Material & Kitting Readiness: Manage the pipeline for auxiliary materials (packaging, custom racking, specialized installation kits) ensuring zero operational delays due to missing components. - Cross-Border Visibility: Coordinate with global operations teams to track global inventory in transit and synchronize receiving schedules at global warehouses. - B2B Inventory Analysis & Asset Control - High-Value Inventory Management: Execute precision inventory analysis using ABC/XYZ categorization, serialization tracking, and aging analysis for massive enterprise assets. - Discrepancy Root-Cause Analysis: Lead cycle count programs, reconcile variances, and minimize inventory leakage within the WMS in collaboration with the Warehouse & Logistics leadership team. Qualifications - Bachelor’s degree in Engineering, Logistics, Supply Chain, or a related field. - APICS (CPIM/CSCP) or specialized certifications in Lean Operations are highly preferred. Requirements - Minimum 5 years of core experience in B2B supply chain planning, specifically within 3PL contract logistics, tech infrastructure fulfillment, or enterprise asset management. - Advanced proficiency in Tier-1 Warehouse Management Systems (WMS) (e.g., Manhattan, Blue Yonder, SAP EWM, or Oracle WMS). - Strong mastery of enterprise ERP environments (SAP or Oracle) and advanced MS Excel (Data Modeling, Power Query, Macros). - Direct experience building operational dashboards via Power BI or Tableau. - Strong professional presence to manage communication with high-value enterprise stakeholders. - Exceptional operational problem-solving capability—ability to translate raw data into floor-level execution. Benefits - At EOS, we believe diversity drives innovation. - We are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to contribute. - We welcome applicants from all backgrounds and strive to ensure equitable opportunities for all.