Top Senior Data & Analytics Jobs

Leads a business analytics team supporting revenue management and pricing decisions. Translates ambiguous commercial questions into analytical objectives, hypotheses, and actionable recommendations using large structured and unstructured datasets. Oversees A/B testing and causal analysis, evaluates revenue strategies, and presents findings to senior executives. Manages priorities, coaching, performance, stakeholder relationships, and multiple high-priority analytical projects affecting revenue, occupancy, and yield.

Manages data analysts and leads analytics initiatives for AbbVie Complete Access. Develops complex data models, dashboards, visualizations, reports, KPIs, and predictive analytics to translate data into actionable business insights. Oversees data quality, reporting systems, investigations, process improvements, and operational efficiency while partnering cross-functionally and coaching analytical staff.

Leads the enterprise data quality strategy, roadmap, standards, monitoring, incident management, and governance program. Establishes quality rules and thresholds, oversees dashboards and data profiling, drives root-cause analysis and remediation, and embeds preventive controls across data products and enterprise systems. Partners with Data Owners, Data Stewards, Business Analysts, and IT teams while providing training and mentorship to improve data literacy, governance adherence, and organization-wide data quality maturity.

Analyze customer behavior and business performance to identify strategic opportunities across acquisition, activation, retention, and reactivation. Define measurement strategies, conduct diagnostics, correlations, and hypothesis testing, and transform complex datasets into actionable insights. Create reports, dashboards, visualizations, and presentations that clearly communicate recommendations and support data-driven decisions across the business.

Designs, builds, and maintains conformed dimensional models in dbt across multiple business domains. Integrates independent source systems, resolves inconsistencies, implements semantic-layer and data-governance artifacts, and improves data quality monitoring. Leads complex transformation projects, partners with stakeholders, mentors junior team members, and uses AI tools to improve development efficiency and quality.

Develops business intelligence products and analytics supporting strategic decision-making across the firm. Responsibilities include client profitability and segmentation analysis, growth and margin analysis, reusable data models, KPI governance, executive dashboards, automated reporting, and self-service analytics. Partners with Finance, Revenue, Business Development, Pricing, Technology, and other stakeholders to translate financial, market, operational, and client data into actionable insights while maintaining reporting quality and consistency.

Leads end-to-end data architecture, ETL pipelines, data models, quality frameworks, monitoring, and BI platform operations. Manages Tableau infrastructure, drives project plans and agile sprint delivery, establishes AI-enabled analytics capabilities, and partners with cross-functional stakeholders. Coaches and manages data engineering team members while ensuring data availability, accuracy, security, documentation, and continuous improvement.

Owns customer, marketing, digital, loyalty, and business intelligence analytics. Responsibilities include building dashboards, analyzing segmentation and lifecycle behavior, measuring campaign and promotional performance, evaluating experiments, forecasting customer value, improving data quality, and translating complex findings into actionable recommendations. Partners cross-functionally with Marketing, Finance, Product, Operations, Technology, and external agencies to improve decision-making and establish consistent measurement.

Leads Sensient’s global Business Intelligence practice and data strategy. Oversees BI, data warehousing, enterprise reporting, IT infrastructure, and reporting capabilities. Advises senior leadership, manages technology selection and implementation, coordinates infrastructure priorities, supports contract negotiations, and drives continuous improvement. The role leads IT teams and collaborates globally to turn complex data into actionable business insights while ensuring systems meet organizational needs, budgets, and timelines.

Designs, develops, tests, and maintains scalable data systems, SQL/ETL procedures, reporting processes, and .NET applications supporting pharmacy benefit management. Responsibilities include database performance optimization, query tuning, troubleshooting pharmacy claims and NCPDP submissions, technical design, stakeholder collaboration, Agile participation, cloud integration, mentoring, and recommending reliable engineering solutions. The role requires expertise in SQL Server, data warehousing, dimensional modeling, healthcare data compliance, and pharmacy industry standards.