Top Senior Data & Analytics Jobs

Leads the design, development, and optimization of scalable data platforms, architectures, pipelines, and governance practices supporting analytics, AI, and machine learning. Manages technical direction, data modeling, migrations, observability, security, and compliance while mentoring and growing a high-performing engineering team. Partners cross-functionally to deliver trusted enterprise data products and consolidate fragmented systems into a reliable source of truth.

Leads a 150-person sustainment data organization supporting global aircraft fleets. Sets data strategy, oversees data engineering, analytics, modeling, business intelligence, and reporting teams, drives digital modernization and technology investments, briefs executives and customers, and develops technical leaders. Requires extensive data, analytics, or IT experience, significant management experience, and familiarity with large-scale data platforms and BI tools.

Build and optimize data transformation pipelines using SQL, dbt, Airflow, Python, BigQuery, and relational databases. Collaborate with stakeholders and data engineers, manage task scheduling, resolve data issues, perform analyses, present recommendations, support data exploration tool adoption, and mentor team members. The role also contributes to hiring, onboarding, and professional development while ensuring data accuracy and insight quality.

Leads revenue strategy and analytics by identifying growth opportunities, forecasting performance, analyzing churn and retention, evaluating pricing and commercial effectiveness, and building executive dashboards. Partners with Finance, Sales, Marketing, Product, Customer Success, and Operations to translate complex data into actionable recommendations, improve forecast accuracy, reduce churn, and support strategic revenue decisions.

Supports commercial effectiveness through data analysis, KPI development, performance reporting, pricing governance, commission tracking, data integrity, and process improvement. Identifies growth opportunities, evaluates campaigns, maintains dashboards, and provides actionable insights to leadership. Leads Business Intelligence tool implementation and adoption for the Commercial team, coordinating requirements, testing, training, change management, and system integration. Partners cross-functionally with Sales, Marketing, Finance, Account Management, and Salesforce administration.

Build network, demand, pricing, and partner analytics for specialty pharmacy and infusion networks. Develop claims-based prevalence, volume, geographic capacity, pricing, routing, and impact models; create scalable tools with Engineering; automate analyses using AI; support enterprise sales with client-specific insights; and provide executive recommendations on pricing, partnerships, and growth.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects through continuous improvement.

Designs and maintains secure, reliable data platforms, including relational data models, migrations, pipelines, monitoring, data quality processes, and self-service reporting access. The role protects PHI and PII through access controls, encryption, audit logging, and governance in a HIPAA environment. It also involves backend API development, code reviews, security reviews, stakeholder collaboration, and mentoring teams on data practices.

The Senior Data Analyst develops data models, dashboards, reports, and visualizations to support behavioral health programs and organizational decisions. The role extracts, cleans, transforms, and analyzes complex datasets using tools such as SQL, Python, and R; identifies trends; communicates findings to technical and non-technical stakeholders; ensures data integrity and confidentiality; and mentors junior analysts. The position handles protected health information and supports compliance with HIPAA and 42 CFR Part 2.

Leads advanced credit risk and marketing analytics, business intelligence, executive dashboards, reporting, experiments, and scalable analytics solutions. Translates complex data into strategic recommendations for enterprise growth and loss mitigation. Ensures reporting quality, governance, regulatory compliance, and internal controls while mentoring junior analysts and serving as a technical subject matter expert for business partners and leadership.