Top Data & Analytics Jobs

Lead and mentor a data engineering team to architect and implement scalable cloud lakehouse/warehouse solutions, design enterprise data models, build batch and real-time ETL/ELT pipelines, enforce data quality and governance, establish CI/CD and DataOps practices, and enable AI and advanced analytics.

Leads Pacsun’s enterprise business intelligence, data warehouse, analytics, and system integration strategy. Oversees BI developers and analysts, MuleSoft integrations, retail systems including Microsoft D365 and Manhattan OMS/POS, ETL and OLAP initiatives, data architecture, modeling, validation, and AI-driven predictive analytics. Partners with business and IT leaders on ERP and financial system transformation, resolves technical challenges, documents data designs, and mentors the BI team.

Manages global sourcing analytics across travel, gaming, and onboard media categories. Designs Power BI dashboards, analyzes complex datasets, builds business models, and delivers insights supporting sourcing strategies, negotiations, and operational improvements. Leads data governance, automation, AI adoption, and reporting optimization while serving as the team’s Power BI subject matter expert. Partners with IT, Finance, and Centers of Excellence to improve data structures, analytics tools, and transactional data quality.

Manage global sourcing analytics for travel, gaming, and onboard media categories. Design and maintain Power BI dashboards, analyze complex datasets, build models, identify sourcing opportunities, and support negotiation strategies. Lead data governance, automation, AI adoption, and analytics projects while partnering with IT, Finance, and sourcing teams. Ensure data integrity and improve reporting efficiency across enterprise-scale datasets.

Manage Filevine’s corporate analytics function, including executive dashboards, KPI reporting, data pipelines, and complex analyses. Lead and mentor data analysts, ensure data integrity, track SaaS metrics such as ARR, GRR, NRR, churn, and retention, and translate insights into strategic recommendations. Partner with executive leadership and Finance, Operations, Product, and Customer Success teams to support business decisions.

Manages global sourcing analytics for travel, gaming, and onboard media categories. Designs and maintains Power BI dashboards, analyzes complex datasets, develops models, identifies sourcing opportunities, and supports negotiation strategies. Leads data governance, automation, AI adoption, and analytics improvement initiatives while partnering with IT, Finance, and other stakeholders. Serves as the team’s Power BI subject matter expert and oversees data integrity, reporting accuracy, and enterprise-scale analytical solutions.

Designs, builds, and operates production data pipelines supporting AI-enabled engineering workflows. Owns data curation, indexing quality, pipeline reliability, schemas, governance, metadata, lineage, and data-quality controls. Partners with AI, IT, and engineering teams to integrate systems such as Windchill, Jira, GitLab, and AWS. Supports retrieval-augmented generation, agentic workflows, evaluation harnesses, and production scaling in a regulated medical-device R&D environment.

Research, annotate and structure financial data from public filings using proprietary tools; standardize and maintain databases, ensure data integrity, collaborate on reporting requirements, and support special projects. Role requires attention to detail, ability to handle high-volume quarterly periods (overtime eligible), and strong Excel skills.

Leads and develops a data engineering team implementing data integrations for partner campuses. Owns implementation approaches, scalable delivery processes, data mapping, validation, reconciliation, quality controls, project health, and capacity planning. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve integrations, and support adoption. Provides technical mentorship, design and code reviews, stakeholder communication, and continuous process improvement.

Lead company-wide data and analytics strategy across insurance and real estate investment operations. Build governance, collection frameworks, reporting platforms, dashboards, models, and KPI systems; translate complex data into executive insights; automate analytics workflows; support underwriting, claims, forecasting, capital allocation, and portfolio performance; and build and mentor a high-performing analytics team while remaining hands-on.