Top Senior Analysis Reporting Jobs in Dallas, TX

Supports the design and implementation of financial and management reporting and analytics. Oversees business intelligence strategy, KPI alignment, report rationalization, data governance, and reporting automation. Partners with finance and actuarial teams to improve reporting efficiency, consistency, quality, timeliness, and risk management. Requires business intelligence, relational database, project management, strategy, change management, process improvement, and reporting experience, with Oracle reporting expertise preferred.

Leads the design, administration, optimization, and modernization of enterprise data platforms across SQL Server, Azure, and Microsoft Fabric. Responsibilities include database operations, high availability and disaster recovery, performance tuning, replication, cloud migrations, monitoring, security, governance, and automation. The role collaborates with architects and infrastructure teams, mentors junior engineers, and serves as a subject matter expert for database infrastructure and cloud architecture.

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.

Leads hands-on enterprise data engineering and architecture across Microsoft Fabric and Azure. Designs and optimizes data warehouses, pipelines, integrations, data models, BI solutions, DevOps practices, security, reliability, observability, and data quality standards. Troubleshoots complex production issues, guides AI enablement and Power BI capabilities, conducts technical reviews, and mentors engineers. The role requires advanced SQL, T-SQL, Python, PySpark, Data Vault, dimensional modeling, cloud data platform expertise, and technical leadership.

Leads architecture, development, and optimization of enterprise data platforms using Microsoft Fabric and Azure. Designs Lakehouse, OneLake, Spark, SQL, ETL/ELT, data models, and reporting solutions. Collaborates with business, IT, and vendors; supports compliance, documentation, SDLC, change management, and DevOps practices. Provides technical expertise and contributes to AI, Copilot, advanced analytics, and cloud-native data initiatives.

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.

Designs and evolves an enterprise Azure-based Lakehouse platform using Microsoft Fabric and Azure Databricks. Builds metadata-driven ingestion, ELT, CDC, orchestration, Spark/PySpark transformations, semantic models, and governed Bronze, Silver, and Gold data layers. Integrates enterprise systems across ERP, CRM, construction, manufacturing, HR, and operations while establishing standards for data quality, lineage, security, observability, performance, and cost optimization. Partners with stakeholders to deliver trusted data products and provides technical leadership across architecture and engineering.

Analyzes market pricing, historical trends, costs, bids, profitability, and contract rate terms. Maintains pricing databases, researches discrepancies, manages proposal updates, and produces recurring and ad hoc reports for high-profile accounts. The role also performs complex Excel queries and formulas, KPI reporting, exception troubleshooting, and trend analysis while supporting executives and strategic initiatives.

Designs and governs enterprise data architecture for a banking organization. Responsibilities include developing data migration and streaming strategies, creating data inventories, maintaining architecture documentation, building data models for databases and AI/ML applications, establishing modeling standards, communicating architecture strategies, and coaching staff. Requires extensive experience with data management, data warehouses, ETL, streaming, cloud concepts, architecture, integration, and data platform technologies.

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