Top Data & Analytics Jobs

Leads the data engineering organization and enterprise Databricks Lakehouse on AWS. Owns team development, platform strategy, delivery, reliability, governance, budget, vendors, architecture standards, and regulatory compliance. Partners with executives on data transformation, MDM, ERP migration, analytics, and AI enablement. Requires extensive data engineering leadership, Databricks and AWS expertise, regulated-environment experience, and proven budget and vendor management.

Provides customer data management, reporting, trend analysis, and actionable insights to support Customer Success Managers and program goals. Develops reporting processes, identifies customer behavior patterns, recommends proactive strategies, supports strategic projects, and improves operational efficiency. Collaborates cross-functionally to connect business intelligence with customer outcomes and advises on performance, engagement, and value realization. Requires up to 30% travel.

Analyze consumer sales and order data to identify purchasing trends, product preferences, pricing impacts, and trade-up behavior across products, stores, markets, and time periods. Translate findings into actionable recommendations for product and business decisions while developing skills in data analysis, visualization, problem solving, and stakeholder communication.

Supports investment management data systems by improving data integrity, reporting, process automation, and operational efficiency. Processes and quality-controls portfolio data, troubleshoots systems, builds actionable reports, and assists with portfolio analysis, cash-flow projections, and financial modeling. Partners with investment, sales, client relations, and business teams while responding to data and reporting inquiries. The role also leverages AI tools to improve data access, workflow efficiency, and decision-making.

Leads an Integration Engineering team responsible for enterprise data integrations, scalable pipelines, data transformation, governance, monitoring, security, and reliability. Manages team performance, coaching, planning, delivery risks, and resource capacity. Aligns integration initiatives with analytics and data platform priorities while advancing integration frameworks, DevOps practices, observability, performance optimization, and cloud deployment standards.

Provides executive leadership for enterprise data and analytics strategy across clinical, operational, financial, quality, and population health domains. Leads data governance, stewardship, quality, AI and machine learning initiatives, analytics platforms, reporting, and data architecture partnerships. Builds and manages multidisciplinary analytics teams, promotes data literacy, ensures regulatory compliance, and delivers trusted insights for strategic and operational decisions.

Leads and develops product, marketing, and data analysts while overseeing analytics strategy, prioritization, technical standards, experimentation, reporting, and data quality. Partners with Product, Marketing, Finance, Engineering, and recruiting to deliver trusted insights, scalable self-service analytics, and team growth. Requires strong SQL and Python skills, modern data-tool experience, analytics leadership, stakeholder communication, and at least five years in data roles with two years managing teams.

Builds and configures Power BI reports, automates workflows, integrates business applications, and analyzes financial and operational data. Develops financial models for budgeting, forecasting, profitability, and ROI analysis. Prepares KPI and monthly financial reports for leadership and the Board, supports business improvement initiatives, and collaborates with Finance, FP&A, project controls, and operational teams on data-driven decision-making.

Support digital tools, technology initiatives, project workflows, data management, visualization, and technology-enabled solutions. Collaborate with technical professionals to improve engineering and design team workflows, apply classroom knowledge to real-world challenges, and participate in professional development and networking activities.

Manage enterprise data governance and data management for customer and transactional data. Define data models, taxonomies, standards, policies, quality metrics, and data dictionaries; establish stewardship practices; monitor privacy and compliance; assess and remediate data quality issues; support analytics, testing, and reporting; and coordinate between technology, marketing, and business teams to improve data integrity and marketing effectiveness.