Top Senior Analysis Reporting Jobs in Dallas, TX

Design, build, and maintain scalable cloud-native data pipelines, microservices, and platforms to support real-time and batch processing. Collaborate with architects and stakeholders to translate requirements, implement AWS-based ingestion/streaming solutions, enforce data quality/testing, and operate observability and CI/CD practices to ensure reliable production data systems for autonomy initiatives.

Maintain the enterprise fleet ledger and configuration history, build analytical infrastructure and dashboards, produce 6/12/24-month forecasts of availability, and deliver decision-ready briefings to senior leadership.

Provides technical leadership for enterprise data platform engineering. Designs and implements ETL, ELT, streaming ingestion, data models, cloud data lakes and warehouses, monitoring, data quality, governance, testing, version control, and CI/CD practices. Leads AWS, Snowflake, and dbt implementations while integrating disparate data sources for analysts and data scientists. Partners with business stakeholders to align data products with organizational strategy and enables self-service analytics and automation.

Design and optimize enterprise data architecture, scalable ETL/ELT pipelines, data models, warehouses, and cloud platforms. Implement DevOps, CI/CD, orchestration, and automated workflows for reliable data delivery. Optimize SQL, Python, and pipeline performance; integrate modern data, AI/ML, and orchestration technologies. Provide technical leadership, mentor junior engineers, and collaborate with cross-functional teams to advance enterprise data capabilities.

Lead analytics on large datasets, approve statistical and predictive models, oversee data collection and quality, produce actionable reports, partner with business units, and manage complex analytics projects to inform strategy and decision-making.

Develop and maintain enterprise Power BI reports and dashboards, write and optimize SQL and DAX, model data using Microsoft Fabric, automate workflows with Alteryx/SSIS, analyze financial and operational data, define KPIs, deliver analytical insights and present findings to stakeholders including C-level.

Develops and supports business intelligence applications, reports, data warehouse solutions, and SQL queries. Responsibilities include requirements analysis, coding, testing, performance tuning, data discovery, source-system connectivity, implementation planning, and technical documentation. The role serves as a BI subject matter expert, mentors team members, manages small projects, and collaborates with cross-functional technology and business teams.

Design and implement scalable data pipelines, support data ingestion and quality, collaborate on data models, and maintain data exports, contributing to technology improvements.

Design, build, test, deploy, and support scalable data analytics, BI, and reporting solutions using Azure, SQL Server, Power BI, OLAP and ETL tools. Own end-to-end delivery in a small Agile team, perform data modeling, performance tuning, production support, and apply data governance and AI-enabled tools to improve automation and insights.

Lead auto finance analytics projects to develop credit, pricing, valuation, and channel strategies. Build, test, and maintain models and scorecards using SQL, SAS, Python, and other tools; deliver insights, implement strategies, monitor performance, and present findings to leadership while mentoring team members.