Top Senior Data & Analytics Jobs

Manages data analysts and oversees workflow, reporting, forecasting, benchmarking, and complex analysis for company and client needs. Provides technical guidance to analysts across field offices, communicates findings to senior management and clients, delivers training, and supervises hiring and performance development. Requires strong analytical, communication, organizational, and interpersonal skills, along with insurance and statistical analysis experience.

Lead Betterment’s Analytics Engineering team by setting its vision, roadmap, and operating model; hiring and developing engineers; and guiding reliable data products at scale. Partner with Analytics, Data Platform, Product Engineering, Finance, Marketing, CRM, and Revenue Operations. Oversee dbt models, Airflow pipelines, data quality, documentation, monitoring, deployment, data contracts, and prioritization across business needs and technical health.

Business Analyst partners with stakeholders and developers to analyze requirements, improve business processes, and implement IT system solutions. Responsibilities include functional documentation, data flows, end-to-end testing, User Acceptance Testing, application support, access issue resolution, reporting and visualizations, user training, and project participation. The role requires SDLC experience, business analysis or software implementation experience, strong communication, project management, and familiarity with Agile and waterfall methodologies.

Build trusted analytics models, reports, dashboards, and light predictive analyses for revenue, finance, procurement, operations, and renewable energy stakeholders. Develop dbt models in Snowflake, analyze SAP data, maintain curtailment reporting, automate workflows with Python, validate data quality, and document metrics and data assets. Partner with business stakeholders to gather requirements, prioritize requests, and communicate insights. This hybrid role requires working in the Scottsdale office three days per week.

Designs, develops, and optimizes scalable Snowflake and dbt data pipelines, ELT/ETL workflows, dimensional data models, and analytics warehouse solutions. Implements data quality, governance, security, CI/CD, monitoring, and documentation practices. Troubleshoots data issues, collaborates with analytics and business teams, and mentors junior engineers. Requires experience with Azure Data Factory and structured and semi-structured data formats.

Owns streaming KPI reporting and subscriber lifecycle analysis across AMC Global Media’s streaming portfolio. Leads deep-dive analyses of acquisition, engagement, retention, churn, pricing, and promotions; develops executive-ready recommendations; partners with cross-functional teams; oversees syndicated research; and guides BI and data teams on KPI definitions, validation, and scalable analytics workflows.

Designs and delivers enterprise BI solutions, including Power BI dashboards, semantic models, data models, and reporting frameworks. Partners with stakeholders and data teams to standardize KPIs, improve data quality, optimize performance, and establish scalable governance practices. The role is initially highly hands-on before evolving toward leadership, enablement, and BI standardization across teams.

Develops scalable data models, dashboards, reports, data pipelines, and reporting workflows using Power BI and SQL. Ensures data integrity, supports performance measurement, conducts advanced analysis, and translates program requirements into actionable insights. Supervises data analysts, supports agency-wide performance frameworks, integrates disparate data sources, maintains data structures, and partners with IT on data governance, interoperability, and quality improvement.

Owns executive reporting for autonomous vehicle system performance, including the weekly Software Performance Review and broader commercial readiness analyses. Synthesizes robotics data, diagnostic evaluations, and performance metrics into strategic narratives for senior leadership. The role aligns cross-functional engineering data, automates reporting pipelines and presentation generation, establishes visualization standards, and mentors junior engineers. It requires deep knowledge of robotics, autonomous vehicle performance, data architectures, executive communication, and AI-assisted development workflows.

Own spend analytics and business intelligence for Global Sourcing by building dashboards, supplier scorecards, savings trackers, and category KPI reporting. Steward spend taxonomy and data quality, analyze ERP data for cost-saving opportunities, support should-cost modeling, reconcile savings with Finance, and partner with IT and category teams on data pipelines and self-service analytics.