Top Senior Analysis Reporting Jobs in Dallas, TX

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.

Lead client-facing data engineering initiatives, designing scalable data pipelines, architectures, models, and schemas. Translate business requirements into technical solutions, optimize data delivery and automation, mentor engineering teams, and support project planning, proposals, estimation, and solution delivery. Work with technologies including Databricks, Spark, Snowflake, Airflow, Kafka, cloud services, SQL, and programming languages such as Python, Scala, Java, and C++. Travel averages 30–50%, with home-office work when not at client sites.

Owns Care.com's Voice of the Customer program, analyzing large-scale survey, review, account-management, and contact-center feedback. Leads a VOC Insights Analyst and translates quantitative and qualitative findings into actionable recommendations for Product, Design, Operations, and other stakeholders. Oversees NPS, CSAT, and customer-effort measurement frameworks, survey methodology, taxonomy, reporting, and program expansion. Uses AI and text analytics to identify themes and trends, influence roadmaps, and improve member experiences.

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.

Senior Business Analyst leading discovery and requirements definition for Data & AI initiatives. Translates business needs into user stories, technical and functional requirements, and acceptance criteria; coordinates stakeholders, data engineers, BI developers, and product owners through delivery. Manages intake, prioritization, sprint progress, and communication while promoting Agile practices, MVPs, process consistency, and data-driven decision-making. Requires experience with analytics environments, Power BI, Tableau, project tracking tools, SDLC, and data concepts.

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.

Develops and advances revenue management analytics, tools, reports, models, and processes. Partners with Marketing, Finance, and Merchandising to optimize pricing, promotions, and offer-pack architecture. Translates complex data into actionable business insights, supports strategic category initiatives, leads stakeholder communications and design sprints, prioritizes product enhancements, and enables end users. Requires strong analytical, data storytelling, stakeholder influence, change management, and business KPI skills.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Designs, deploys, tests, and supports integrations connecting systems, software, databases, and business processes. Investigates integration issues, implements continuous improvements, and provides technical expertise to internal teams, customers, carriers, vendors, and third parties. The role also requires building ETL processes, data warehouses, tables, and pipelines; querying SQL data; creating reports and dashboards; performing statistical analysis; programming in R or Python; and managing teams or external vendors.