Top Data & Analytics Jobs

Own data strategy for a business unit, ensuring data readiness for AI initiatives. Assess data quality, accessibility, lineage, and suitability; partner with engineering teams on data preparation, transformation, ontology design, and knowledge-base construction. Define data roadmaps, integration priorities, governance frameworks, and quality standards for AI and agentic workflows. Translate strategy and technical trade-offs for executives and cross-functional teams.

Supports CRM, data management, BIO, and business teams by assessing impacts, documenting implementation-ready requirements, resolving dependencies, and prioritizing delivery. Performs data profiling, discrepancy investigation, mapping validation, reporting impact analysis, and business-rule documentation. Facilitates stakeholders, coordinates delivery, and works with Salesforce and Veeva Vault CRM specialists using SQL, Python, Jira, and Confluence.

Develops and oversees data strategies and architectures for Tech Ops IT. Translates business requirements into technical solutions, supports data modeling and warehouse integration, establishes standards for BI and advanced analytics, ensures data quality and integrity, coordinates warehouse changes with reporting teams, and recommends technology and process improvements.

Designs and leads enterprise database architectures, data models, integrations, governance, and performance initiatives. The role supports scalable and secure SQL Server environments, cloud platforms, data warehouses, ETL processes, reporting, analytics, and transportation safety data systems. Responsibilities include optimization, security, backup and recovery, documentation, technical standards, and collaboration with software engineering and business teams. The position requires strong relational database, SQL development, administration, and enterprise data modeling expertise.

Lead data strategy and execution for emerging sectors, transforming large consumer datasets into accurate, scalable client insights. Responsibilities include resolving data-quality issues, designing workflows, maintaining sector taxonomies, partnering with product, revenue, engineering, and insights teams, and coaching analysts. The role requires hands-on analysis, production-grade data workflow development, stakeholder communication, and ownership of quality standards and methodologies in a rapidly evolving environment.

Leads enterprise analytics platform governance, architecture, roadmap, support, and continuous improvement. Translates business requirements into scalable analytics solutions, oversees BI and reporting tools, prioritizes backlogs, ensures security and data quality, and coordinates cross-functional delivery. Mentors analytics professionals, supports self-service analytics, standardizes solution patterns, manages stakeholder priorities, and provides technical guidance across projects and business units.

Analyzes business and system requirements, translates them into functional designs, and supports technology enhancements and quality initiatives. Collaborates with stakeholders on project scope, timelines, testing, demos, and implementation. Monitors system usage, investigates errors and exceptions, assists with UAT, tracks project progress, communicates risks, and serves as a technology subject matter expert within the mortgage and secondary market domain.

Designs and maintains scalable data pipelines, ETL/ELT processes, metadata repositories, data catalogs, and governance solutions. Responsibilities include data integration, modeling, lineage, quality monitoring, cloud data platform engineering, automation, and support for analytics and AI/ML workloads. Partners with architects, analysts, scientists, governance teams, and business stakeholders to improve data discoverability, compliance, and self-service analytics.

The Category Analyst leads sales and category analytics for Costco, tracking initiative performance, regional and store-level trends, inventory, promotions, assortment, and innovation. They use syndicated and household panel data to develop actionable insights, forecasts, presentations, and recommendations for sales, marketing, supply chain, brokers, and buyers. The role also manages recurring performance reviews, data storytelling, cross-functional communication, and regional growth analyses.

Provide data-driven insights for executive decision-making and long-term planning across service lines. Mine and validate multiple data sources, produce regular and ad-hoc reports, support growth initiatives and forecasting, and present actionable recommendations to leadership to improve care and operations.