Top Data & Analytics Jobs

Analyze workforce capacity, utilization, demand, and performance trends. Build dashboards and reports, support forecasting and scenario analysis, identify workforce risks and optimization opportunities, and translate data into actionable insights for HR, Operations, Finance, and leadership stakeholders.

Design, build, and maintain scalable batch and streaming data pipelines, cloud infrastructure, and the Enterprise Data Hub. Partner with stakeholders to productionize ingestions, ensure data quality, implement metadata/catalog solutions, mentor junior engineers, and support analytics and ML workloads using cloud and big-data tooling.

Leads the analytics function for media clients, developing measurement frameworks, attribution models, dashboards, and actionable insights. Advises senior clients, translates complex data into strategic recommendations, supports business development, and partners with media, strategy, creative, and technical teams. Manages and mentors analytics professionals while overseeing reporting quality, first-party data applications, marketing mix modeling, multi-touch attribution, and performance measurement across digital and retail media channels.

Plans and manages customer research projects, designs surveys, analyzes qualitative and quantitative data, builds dashboards, and translates findings into actionable business insights. The role manages external research partners, integrates customer data sources, presents research to leadership, and drives adoption of insights across business units. It also supports customer experience improvements, identifies research opportunities, and mentors team members without formal supervisory responsibility.

Designs and leads enterprise data management, database architecture, governance, modernization, migration, performance optimization, security, high availability, disaster recovery, and automation initiatives. The role establishes data policies and standards, ensures regulatory compliance, collaborates on architecture decisions, maintains documentation, and mentors database administrators and developers.

Analyzes and improves third-party financial data flows across wealth management providers, feeds, intermediaries, and enterprise platforms. Responsibilities include source documentation, data profiling, reconciliation, lineage mapping, root-cause analysis, provider engagement, scorecards, and remediation tracking. The role translates complex technical findings into business recommendations, develops scalable data-quality standards and automation, and serves as a subject matter expert across data, operations, architecture, engineering, and external partners.

Leads enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, and predictive analytics. Partners with executives and cross-functional leaders to drive revenue, profitability, customer engagement, product innovation, and operational performance through actionable insights and improved reporting infrastructure.

Analyze platform, product, customer, advertising, and operational data to generate actionable insights. Build dashboards, reporting frameworks, automated workflows, and scalable analytics pipelines. Evaluate experiments and analytical methodologies, improve forecasting and data accuracy, and partner with product, engineering, marketing, revenue, and leadership teams to influence strategy, customer experience, and platform growth.

Analyzes consumer, shopper, and market data to identify trends, risks, and growth opportunities. Translates complex findings into presentations, visualizations, recommendations, and client-ready insights. Supports client meetings, cross-functional solution development, relationship building, and engagement expansion while developing expertise in Circana’s data assets and platforms.

Leads the enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, predictive analytics, and AI-driven automation. Advises executive leadership and partners cross-functionally to improve revenue, profitability, customer retention, product adoption, and operational performance. Establishes reporting standards, data architecture roadmaps, and scalable self-service analytics capabilities.