Vista

Data Engineer

• Architect & Lead Operational Data Flows by designing and overseeing the implementation of an Operational Data Store (ODS)
• Build low-latency data streams using technologies like Kafka or Flink to power embedded analytics directly within customer-facing applications
• Establish "Data Contracts" with upstream engineering teams to ensure high availability and schema stability for all real-time operational flows
• Own the transition and scaling of our Analytical Data Store (e.g., Snowflake), ensuring it is optimized for both performance and cost-efficiency
• Modernize transformation layer by implementing robust ELT patterns and modular data modeling (using dbt and airflow)
• Champion Data Governance, ensuring that every dashboard and report is backed by high-quality, audited, and well-documented data
• Build the "Data Foundation" for Machine Learning, including development of Feature Stores and automated pipelines for model training and inference
• Mentor and grow a high-performing engineering team, fostering a culture of "DataOps" where automation, testing, and observability are the default
• Act as a strategic partner to Product and Executive leadership, translating complex technical roadmaps into clear business value

Lead Data Engineer

Data Analyst

• Embed data governance and privacy-by-design into Enterprise Architecture, defining data pipeline operations, technical and business requirements, and ensuring privacy and security compliance from the design phase
• Develop core reporting systems, prioritize analytics requests, centralize core metrics definitions, and establish a scalable data governance framework
• Lead a centralized analytics team supporting Finance, Sales, Client Services, and Operations, delivering actionable insights to improve business performance, customer retention, and operational efficiency
• Improve operational efficiency through data-driven strategies for on-time performance, aircraft utilization, and crew scheduling
• Own data visualization and automation tools
• Implement predictive analytics and machine learning models to enhance operations and strategic planning
• Recruit, train, develop, and manage analysts

Director, Data Analytics

• Design and partner with engineering to deliver high-performance tables, dynamic views, and data pipelines within Snowflake
• Develop sophisticated visualizations in Looker that translate trends and manufacturing efficiency into actionable insights
• Align on KPI definitions and implement them across Fulfillment metrics
• Leverage Snowflake Cortex to deploy LLM-powered functions or predictive forecasting
• Analyze complex data to optimize fulfillment metrics
• Act as a consultant to Product Management, Customer, and other Cimpress teams
• Provide technical guidance and code reviews for junior analysts

Lead Data Analyst

Procurement

• Partner with Product and Program Management teams to lead procurement deliverables for New Product Introductions (NPI); take end-to-end ownership of material sourcing, supply chain readiness, and packaging validation.
• Review and analyze volatile production forecasts against highly dynamic actual sales; proactively adjust Material Requirements Planning (MRP) parameters to ensure 100% material availability while mitigating excess and obsolete (E&O) inventory risk.
• Independently navigate and resolve highly complex, multi-functional supply chain scenarios involving cross-border plant management.
• Synthesize detailed supply chain analysis into clear, high-level summaries for executive review.
• Represent the procurement function at all core launch meetings; generate and maintain critical supply chain readiness dashboards, KPIs, and risk-mitigation reports.
• Act as the primary supply chain liaison bridging gaps between Global Product Marketing, Program Management, Manufacturing Operations, Global Procurement, and Finance to ensure financial and operational alignment.
• Develop and execute comprehensive sourcing strategies for assigned raw material and packaging categories by leveraging market intelligence, spend analysis, and total cost of ownership (TCO) models.
• Identify, research, and prioritize high-impact sourcing opportunities through structured internal spend concentration analysis, aligning initiatives with business urgency and regional savings targets.
• Lead full-lifecycle sourcing activities, including Request for Proposal (RFP) development, rigorous commercial analysis, supplier selection recommendations, and comprehensive contract management.
• Prepare, coordinate, and execute complex supplier negotiations; draft, review, and finalize contractual language to institutionalize commercial terms, SLAs, and pricing frameworks.
• Lead regional and plant-specific packaging optimization initiatives—including structural and design updates—to maximize packaging density, reduce freight/material costs, and eliminate transport damage.

Lead Data Engineer

Director, Data Analytics

Lead Data Analyst

Lead Procurement Manager