Top Senior Data & Analytics Jobs

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.

Analyzes syndicated retail data and client information to identify growth opportunities, deliver strategic insights and recommendations, and support client decision-making. Manages client needs and concurrent projects, coordinates training on SPINS data and applications, builds relationships across client organizations, and identifies relevant SPINS solutions. Requires strong analytical skills, business acumen, advanced Excel and PowerPoint capabilities, and experience with CPG, consulting, market research, or syndicated data.

Leads Revance’s enterprise business intelligence function, including the Power BI platform, BI development team, semantic layer, reporting standards, and self-service natural-language analytics. Partners with stakeholders and Data Engineering to deliver trusted, decision-ready insights. Oversees BI strategy, governance, data integrity, platform operations, project prioritization, and distributed team leadership while driving dashboard quality, adoption, and modernization.

Leads Ford’s multi-touch attribution team and enterprise marketing measurement capability. Responsibilities include managing eight employees, vendor relationships, data pipelines, analytics intake, taxonomy governance, data quality, statistical validation, causal inference, dashboards, and reporting. The role uses GCP, Python, and SQL to automate attribution workflows, evaluates marketing effectiveness, oversees budgets and contracts, partners with media agencies, and communicates insights to technical and business stakeholders. It also promotes AI/ML and generative AI adoption while ensuring privacy, policy compliance, and alignment with Marketing objectives.

Lead the strategy, roadmap, governance, standards, quality, and adoption of the enterprise payer data domain. Partner with executives, data stewards, custodians, product, technology, analytics, compliance, and operations teams to prioritize data products and initiatives. Own domain-level decisions, definitions, metadata, policies, KPIs, regulatory risk, and stakeholder alignment while supporting provider and healthcare data strategies across the organization.

Build and maintain large-scale data infrastructure, ETL pipelines, and cloud-native data applications for a Department of Defense platform. Design systems using Kafka, Flink, Kafka Streams, databases, Kubernetes, and related technologies. Collaborate with experienced engineers to deliver fault-tolerant, low-latency data platforms, while supporting enterprise cloud infrastructure, automation, observability, and data governance.