Top Data & Analytics Jobs

Leads the strategy, roadmap, and delivery of enterprise business intelligence capabilities. Oversees BI products, semantic models, reporting standards, governance, adoption, and AI-assisted analytics in partnership with Data Engineering, Data Science, IT, and business leaders. Manages and develops the BI team, prioritizes demand, translates business needs into scalable products, monitors performance and value, and remains technically engaged in solution design and troubleshooting.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, IT, and business leaders to deliver trusted, scalable reporting and decision-support capabilities. Manages BI demand, adoption, performance, standards, and team development while remaining technically involved in solution design and complex initiatives.

Lead enterprise data governance strategy and operating model implementation, including ownership, stewardship, quality, metadata, classification, access policies, and regulatory alignment. Establish governance councils, define accountability, and drive adoption of cataloging, lineage, and data quality tools such as Collibra, Alation, and Microsoft Purview. Manage cross-functional workstreams, stakeholders, and delivery across regulated enterprise environments, with potential client travel of up to 80%.

Leads the technical development, deployment, and client delivery of M-NAV marketing measurement solutions. Applies marketing mix modeling, attribution, experimentation, Bayesian modeling, feature engineering, validation, and budget optimization. Partners with product, data science, marketing, media, and client teams while translating complex analytical methods into practical investment recommendations and supporting sales engagements as a subject matter expert.

Leads advanced Brand and Consumer analytics, integrating insights across marketing mix modeling, forecasting, commercial performance, and digital commerce. Develops data-driven narratives, translates complex analyses into actionable recommendations, and advises executives and stakeholders. Builds trusted client relationships across Marketing, IT, Sales, and Finance while using SQL, Python, statistical methods, and hypothesis-driven analysis to identify performance drivers and business opportunities.

Develops Salesforce and business intelligence dashboards, reporting, and ad hoc analyses for sales and commercial excellence. Maintains CRM data quality, validates system enhancements, automates processes, and supports AI-driven tools. Partners with Sales Operations and cross-functional teams on recurring analytics, executive presentations, documentation, testing, and business reviews. Investigates complex data and process issues while supporting analytics-system transitions and operational decision-making.

Leads analytical teams supporting senior executives across operations, marketing, and product functions. Sets priorities, oversees complex business analyses, and applies data-driven insights to guide strategic decisions. Partners with P&L owners and business leaders to solve problems, align analytical resources, manage competing priorities, develop employees, and improve business intelligence capabilities. The role also includes people management, risk oversight, process optimization, resource allocation, and executive communication.

Supports risk reporting, portfolio and loss trend analysis, database and query development, data quality remediation, control monitoring, and ad hoc reporting. Performs validation, reconciliation, UAT, parallel testing, and production checks while partnering with Technology and Risk stakeholders to manage credit and operational losses.

Leads global strategy for sales performance reporting, advanced analytics, and KPI measurement. Develops analytical frameworks, reconciles financial and operational data, establishes metric governance, and delivers executive reporting. Partners with Sales, Finance, Product, Technology, and regional teams to drive scalable reporting capabilities, identify business drivers, and translate complex analysis into actionable insights. Shapes the analytics roadmap and leads cross-functional initiatives in a global matrixed environment.

Leads strategic data enablement initiatives across business teams, bottlers, technical groups, and enabling functions. Establishes shared data standards, governance, operating processes, decision rights, and accountability. Manages third-party data value, acquisition, access, contracts, and renewals while improving data flow from identification through use. Translates business needs into practical data and process improvements, aligns stakeholders without formal authority, and builds sustainable mechanisms for prioritization, adoption, and follow-through.

Leads the global technology strategy, roadmap, and execution for supply chain master data modernization. Oversees SAP data standardization, AI and analytics adoption, governance, ERP transformation, multidisciplinary teams, budgets, vendors, business readiness, and change management. Partners with global supply chain and technology stakeholders to deliver trusted data, autonomous capabilities, operational improvements, and measurable business value across planning, manufacturing, quality, maintenance, and logistics.

Leads sophisticated supply chain analytics and develops scalable data products across procurement, manufacturing, inventory, transportation, and fulfillment. Defines KPIs, analytical models, data quality standards, and measurement frameworks while partnering with product, architecture, engineering, and business teams. Uses Azure, Fabric, PySpark, SQL, Python, and Power BI to generate actionable insights, communicate findings, influence product priorities, and strengthen analytical practices across the organization.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable, secure, reusable BI capabilities. Manages and develops the BI team, prioritizes demand, measures business value, and guides technical design and delivery across Power BI, Snowflake, and related platforms.

Twelve-week, fully onsite R&D internship integrating data analytics and visualization into paint research and development. The intern will collaborate with chemists and scientists, complete a technical data science project, apply statistical modeling and data wrangling, and present project results to leadership. The role also includes performance reviews, networking, learning events, and cross-functional collaboration.

Analyze marketing campaigns, website performance, customer journeys, and A/B tests to measure ROI and identify growth opportunities. Build dashboards, monitor KPIs, apply statistical methods, and communicate actionable insights to marketing, product, and engineering stakeholders. The role requires SQL, Excel, Python, web analytics, visualization, e-commerce data, and experimentation expertise.

Leads quality data engineering and analytics initiatives, including data pipelines, integrations, databases, dashboards, governance, automation, and AI-enabled solutions. Translates business requirements into scalable systems, analyzes quality trends, improves processes, administers quality platforms, and partners with IT and vendors. Provides technical leadership, training, mentoring, and support while driving adoption of Power Platform, intelligent agents, copilots, and responsible AI practices.