Top Senior Analysis Reporting Jobs in Dallas, TX

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Leads financial reporting and data analytics by developing dashboards, reporting packages, KPI insights, and data workflows. Oversees reporting governance, data quality, warehousing practices, automation, and infrastructure improvements. Manages and mentors analysts while partnering with executives, Finance, IT, and business units to translate complex data into actionable insights. Requires advanced Power BI and SQL skills, Databricks experience, and expertise in data management, reporting, and analytics.

Leads IT audit data analytics, overseeing data extraction, complex algorithms, query validation, data quality, audit reporting, and analytical support for internal audit testing. Manages, coaches, and develops Data Analyst staff; maintains knowledge of databases, audit tools, and data relationships; consults with audit leadership on analytical needs; and supports budgeting and salary evaluations.

Configure and implement Informatica IDMC MDM solutions across customer, product, and supplier domains. Responsibilities include data modeling, match and merge logic, survivorship, golden records, hierarchies, data quality, governance, stewardship workflows, user access, testing, deployment, documentation, and production support. The role collaborates with business, governance, integration, and data engineering teams to deliver trusted enterprise master data.

Generates enterprise, market, customer, and competitive insights for Customer Solutions. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds models, forecasts, and scenario analyses; translates research and voice-of-customer data into strategic recommendations; presents executive-ready insights; and supports marketing and PMO initiatives.

Generates business, market, customer, and competitive insights for enterprise strategy and growth initiatives. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds forecasts, market models, and scenario analyses; synthesizes research, voice-of-customer data, and internal analytics; and presents executive-ready recommendations. Provides analytical and project support to marketing and PMO teams while translating customer insights into strategic actions.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Designs and implements Azure and Databricks data architectures, including scalable platforms, ingestion and ELT pipelines, governance, security, data quality, performance optimization, and disaster recovery. Develops PySpark solutions, applies Medallion Architecture, manages Unity Catalog and Delta Live Tables, and partners with stakeholders to deliver analytics solutions for insurance and operational use cases.

Lead and develop data engineering leadership and teams to deliver scalable enterprise data products and platforms. Own product lifecycle, roadmap, and execution; design scalable pipelines and frameworks; enforce data quality, governance, and observability; partner with stakeholders to align data strategy to business outcomes; evaluate and implement modern data technologies; drive adoption and reliability across domains.

Designs, builds, and supports enterprise data products, analytics platforms, scalable pipelines, Lakehouse architectures, and integration solutions. The role integrates operational and enterprise systems, develops governed and reusable data products, supports reporting and analytics, and implements data quality, validation, monitoring, lineage, and modeling processes. Strong Databricks, SQL, Python, Azure, and Power BI expertise is required, with experience in operationally intensive environments such as manufacturing, IoT, supply chain, or logistics.