Top Analysis Reporting Jobs in Dallas, TX

The Sr BI Developer/Architect will support and administer database systems, develop dashboards and reports, and enhance BI tools like OBIEE and Tableau.

The Sr Oracle Application Developer is responsible for designing and developing technical solutions using Oracle technologies, leading teams, and ensuring project deliverables. This role requires hands-on technical expertise in Oracle applications and systems analysis, guiding other developers, and liaising with external vendors.

Design and implement data models and views for integrating legacy systems with ITBA, focusing on managing various data sources and deriving KPIs for scorecards.

The role involves designing and implementing data quality processes, creating mappings and workflows in Informatica, and collaborating with business and technical teams to enhance data quality across the enterprise.

Lead design and delivery of secure, scalable cloud and on‑prem data architectures. Drive adoption of cloud services, streaming, NoSQL, and modern data warehouses; mentor teams, improve data quality/integration, and align architecture with business needs.

Support enterprise data warehouse data accuracy and completeness: analyze and resolve data issues, create and load source-to-target mappings, validate ETL code, and consult reporting teams on variances.

Administer and govern Power BI environments, dashboards, data models, and reporting systems for construction project controls. Develop analytics, data dictionaries, metadata, lineage documentation, process manuals, and governance artifacts. Connect source systems, support ODS structures, validate reports, and ensure data accuracy. Train project controls and construction users, collaborate with IT and project teams, and may supervise staff. The role requires advanced Power BI, DAX, Power Query, SQL, and construction data expertise.

Design and govern scalable Azure-based data platforms and lakehouse architectures, lead data modeling (relational, dimensional, Data Vault), build high-throughput batch and streaming pipelines, enable data governance and security, integrate analytics/ML feature stores and LLM gateways, and partner with engineering and business teams to deliver production-ready data products and Power BI semantic layers.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

Migrate data products from Azure Synapse to Microsoft Fabric and design scalable data pipelines using Azure Data Factory, notebooks, Spark/PySpark, Python, and SQL. Implement ingestion (full, delta, CDC), refactor pandas to PySpark, apply medallion architecture, perform data quality checks, tuning, monitoring, troubleshooting, and collaborate with stakeholders to document and deploy solutions.