Top Senior Analytics Jobs in Dallas, TX

Uses advanced healthcare analytics to identify member and client needs, evaluate programs, develop predictive models and segmentation criteria, measure clinical, utilization, and financial outcomes, and guide product innovation and business strategy. Partners with clinical and business leaders, conducts applied research, develops analytical methodologies, addresses data limitations, and communicates findings through reports, white papers, conferences, and publications.

Leads complex healthcare analytics projects using clinical, administrative, claims, and related datasets. Develops advanced SQL queries, analytical methodologies, cohorts, outcomes, and segmentation approaches; investigates data anomalies; translates client needs into analytic requirements; validates deliverables through quality assurance; and collaborates with consultants, statisticians, and subject matter experts to produce actionable insights for strategic decisions, clinical quality improvement, and real-world evidence.

Lead delivery and transformation of financial analytics for investment banking partners. Oversee team utilization and capacity planning, implement AI and automation (UIPath, Python, GPT/Claude) to create scalable products (profiles, pitchbooks, dashboards), partner with research and stakeholders, measure service effectiveness, and identify new analytics opportunities.

Leads global customer experience analytics strategy, developing analytical frameworks, predictive models, KPI systems, dashboards, forecasting, segmentation, retention analysis, and operational insights. Partners with CX, contact center, product, data, and business leaders to improve satisfaction, efficiency, retention, and business outcomes. Manages analytics initiatives and teams while translating complex data into executive-level recommendations and narratives.

Manages analytics and reporting teams supporting financial and operational decisions. Oversees reporting consistency, process improvement, automation, data interpretation, quality initiatives, and strategic executive reporting. Leads team training, collaborates with departmental leaders, and partners with account teams to deliver client recommendations. Requires healthcare operations and claims-data expertise, supervisory experience, and proficiency with Excel, Access, VBA, Crystal Reports, T-SQL, SSMS, and SSRS.

Leads Lennar’s third-party data analytics function and enterprise data strategy. Responsibilities include setting priorities, improving data infrastructure, overseeing data engineering and analytics practices, ensuring governance and security compliance, and partnering with senior leadership. The role designs scalable data architectures, integrates multiple data sources, develops dashboards and reporting solutions, applies advanced analytics and AI, and leads data projects and teams while mentoring staff and driving organizational data initiatives.

Design, develop, and maintain scalable data pipelines using Databricks, Spark, Python, Scala, and Hadoop. Build and optimize ETL/ELT processes, manage batch workflows with Control-M, troubleshoot failures, and implement data validation and quality checks. Support production deployments, performance tuning, incident resolution, and ongoing maintenance while collaborating with architects, analysts, and cross-functional teams.

Lead PMG’s analytics organization across clients, industries, and regions. Define the analytics capability roadmap, scale teams, guide senior client relationships, and align measurement strategies with business objectives. Oversee attribution, incrementality, reporting, experimentation, and data architecture while partnering cross-functionally. Manage Director-level leaders, succession planning, performance processes, governance, and thought leadership. Use AI, automation, and emerging analytics technologies to improve efficiency, decision-making, and marketing performance.

Lead analytics initiatives to inform strategic decision making, providing actionable insights and recommendations using various data sources. Oversee projects, mentor analysts, and guide stakeholders.

Lead customized analytics engagements for hospital clients using Vizient data and tools. Conduct comparative analyses across operations, quality, costs, productivity, supply use, and facility performance; identify benchmarks and actionable opportunities; develop accurate reports; and present insights to clients and executives. Manage requirements and stakeholder meetings, support adoption of analytics tools, guide analytical approaches, and contribute to mentoring and team best practices.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Leads customer performance analytics for the Growth organization and business units, translating transaction, digital, CRM, and customer data into strategic recommendations. Manages and develops an analytics team, prioritizes high-impact initiatives, establishes data quality and methodology standards, and oversees dashboards, reporting, visualization, and executive storytelling. Partners with senior leaders across Growth, Marketing, Finance, Technology, and CX to identify customer trends, risks, and growth opportunities.

Lead complex marketing and media analytics engagements, developing scalable reporting, dashboards, measurement frameworks, and analytical solutions. Use SQL, Python, or R and advanced methodologies such as media mix modeling, lift testing, incrementality testing, and experimental design to evaluate performance. Translate complex findings into strategic recommendations, influence client KPIs and investment decisions, resolve data-quality challenges, establish best practices, and mentor analytics professionals.

Leads enterprise data and analytics transformation, including Snowflake platform strategy, reporting modernization, AI-enabled automation, data governance, predictive analytics, and executive insights. Builds and manages analytics teams, oversees enterprise data warehouse development, establishes responsible AI controls, manages budgets and vendors, and partners with senior leadership to improve business performance, credit outcomes, and customer results.

Provides customized healthcare operations analytics using Vizient and hospital data. Analyzes performance, costs, productivity, utilization, outcomes, supply use, and benchmarks; develops reports and actionable insights for hospital leaders. The role facilitates client meetings, translates findings into strategic and operational recommendations, ensures reporting accuracy, and contributes to mentoring and team best practices.

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

Leads BI, analytics, and AI initiatives that transform energy market and customer data into dashboards, automated insights, predictive analyses, and strategic recommendations. The role supports pricing, acquisition, retention, marketing, finance, and customer experience decisions through Python, SQL, Tableau, Power BI, generative BI, experimentation, and machine learning. Responsibilities include building executive reporting, evaluating AI-enhanced BI platforms, analyzing customer lifecycle performance, mentoring analysts, and partnering with cross-functional business and technical teams.

Develops AI, analytics, SQL, Python, and Tableau solutions for Internal Audit across risk assessment, planning, testing, reporting, and continuous monitoring. Builds data extraction and reconciliation workflows, audit dashboards, repeatable testing scripts, and AI-assisted tooling. Assesses data lineage, controls, and risks across business systems, supports GRC administration, identifies automation opportunities, and trains audit staff on analytics and AI-enabled workflows.

Analyze large datasets to identify opportunities that improve customer experience and profitability. Build and automate reporting, develop quantitative analyses and visualizations, and provide strategic recommendations to senior leaders. The role uses Excel, SQL, Snowflake, R, and Tableau while collaborating across teams, managing multiple project streams, and designing and implementing new products and solutions.

Designs, builds, and maintains scalable ETL/ELT pipelines, cloud data infrastructure, storage, and batch or real-time processing workloads. Optimizes queries, PySpark jobs, pipelines, performance, and cloud costs. Partners with BI, analytics, data science, and AI teams to develop dimensional data marts supporting reporting and machine learning. Implements governance, data quality validation, lineage tracking, security controls, and automated infrastructure and code deployments using CI/CD practices.

Leads the Data Engineering and Analytics team, managing people, technical strategy, intake prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products while guiding predictive analytics and machine-learning initiatives such as forecasting, recommendations, and segmentation. Establishes quality, reliability, governance, and development standards; mentors team members; supports debugging, process improvement, monthly reporting, invoices, and scorecards. The role also promotes responsible AI adoption and PHI-compliant data practices.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs and implements governed enterprise data pipelines and Snowflake archival solutions supporting acquisitions, integrations, compliance, reporting, and analytics. Partners with architecture, security, application, infrastructure, business, and vendor teams to translate requirements into scalable pipelines, mappings, quality controls, monitoring, documentation, and deployment plans. Leads migration, cutover, validation, hypercare, and operational handoff activities while improving reusable engineering patterns, automation, performance, cost efficiency, and data observability.

Leads loyalty analytics for 7Rewards and Speedy Rewards, managing analysts and translating customer, transaction, and campaign data into insights. Owns KPI frameworks, executive reporting, segmentation, incrementality measurement, campaign effectiveness, personalization, and ROI analysis. Partners across Marketing, CRM, Finance, Product, Operations, and Technology to influence strategy and improve member engagement, retention, frequency, and sales. Oversees data infrastructure, analytical standards, team development, and advanced analytics initiatives.