Top Senior Data & Analytics Jobs

Build network capacity and demand forecasts across 50 states, support clinician recruitment and retention analytics, measure clinical and scheduling outcomes, and design experiments with Product and Engineering. Develop governed data models, KPI definitions, and AI-powered analytics infrastructure. Serve as the primary analytics partner for Network leadership by translating complex, multi-source data into actionable recommendations and presenting insights to technical and executive audiences.

Lead data governance and spend analytics programs, prioritize enterprise data requirements, build executive dashboards and alerts, analyze Oracle and Salesforce data, improve data quality and traceability, and test AI agents using prompt engineering and LLM technologies. The role bridges business strategy and engineering while delivering scalable governance frameworks, automation, compliance-ready processes, and savings opportunities.

Provides analytical support and strategic recommendations for consumer marketing and loyalty initiatives. Analyzes customer, transactional, category, brand, and campaign data; develops forecasts, measurement plans, dashboards, and scorecards; identifies trends and opportunities; automates recurring reporting; ensures data accuracy; and presents actionable insights to marketing, merchandising, store operations, retailers, and leadership.

Lead the technical direction and hands-on development of scalable data pipelines, data-serving platforms, and AI-enabled data frameworks. Design systems across ingestion, transformation, serving, and consumption; improve data quality, observability, reliability, security, query performance, and infrastructure efficiency. Lead cross-team initiatives, resolve complex production issues, mentor engineers, guide architectural decisions, and apply AI effectively throughout software development.

Design, build, and operate scalable Azure data pipelines and Databricks lakehouse platforms. Modernize SSIS workloads, implement Spark and Delta Lake solutions, and ensure production reliability, observability, data quality, and performance. Champion TDD, XP, CI/CD, AI-assisted development, and engineering standards while mentoring engineers. Support event-driven architectures and potentially MLOps, feature stores, and high-volume transportation data systems.

Build and oversee scalable data platforms, warehouses, lakehouses, ETL pipelines, Spark workflows, and tracking architecture. Integrate data from disparate sources, implement governance and monitoring, optimize queries, and support KPI dashboards and business insights. Develop AI/ML capabilities within data pipelines, automate infrastructure with AWS, Terraform, and CI/CD, and collaborate across engineering, product, DBA, DevOps, and SecOps teams. Mentor engineers and analysts while delivering secure, accurate, terabyte-scale data solutions.

Leads advanced and predictive analytics for an insurance client, diagnosing business performance and analyzing conversion and customer trends. Partners with underwriting, marketing, data, and engineering teams to improve business rules and outcomes. Translates complex findings into executive narratives, dashboards, and recommendations while advising senior stakeholders, promoting data storytelling, and mentoring analysts.

Freelance Business Intelligence Analyst supporting the Marketing Science team during leave coverage. Responsibilities include managing Snowflake data, developing campaign dashboards and reports, forecasting performance, integrating digital marketing data, validating tracking and data quality, building SQL transformations, automating analysis with Python, and translating findings into stakeholder-ready recommendations and presentations.

Leads paid media analytics by integrating data from advertising platforms, building scalable data models and automated dashboards, maintaining tracking and attribution systems, and developing performance benchmarks. Partners with Paid Media, Marketing, Product, Engineering, and Data teams to evaluate campaigns, optimize budgets and targeting, conduct tests, and deliver actionable recommendations related to ticket sales, event awareness, and customer acquisition.

Leads data, business intelligence, financial analytics, and AI engagements for private equity and middle-market clients. Designs scalable data models and architectures, develops Power BI solutions and AI agents, validates financial data, delivers forecasting and performance insights, manages engagement budgets and timelines, and advises executive stakeholders. The role also mentors team members, establishes delivery standards, supports AI enablement, and contributes to practice growth.