Top Senior Analysis Reporting Jobs in Dallas, TX

Analyzes web, campaign, customer, and user behavior data to support digital marketing strategy. Builds dashboards and presentations using Adobe Analytics, Power BI, and Tableau; conducts A/B testing, usability analysis, and deep-dive case studies; validates tagging and reporting implementations; and provides actionable recommendations to stakeholders. The role also coordinates Agile analytics work, vendors, prioritization, and client-facing delivery.

Senior Data Engineer responsible for designing, building, and optimizing enterprise data pipelines, architectures, and scalable reporting solutions. The role integrates data from diverse business platforms, develops Snowflake and dbt solutions, implements governance and security, and enables self-service analytics. It partners with executives, product teams, analysts, developers, and data scientists while mentoring team members, evaluating emerging technologies, and delivering reliable data assets and actionable insights.

Designs, develops, and optimizes scalable Azure-based data engineering solutions, including lakehouses, warehouses, ETL/ELT pipelines, Databricks notebooks, and analytics workflows. The role supports enterprise reporting, AI and machine learning initiatives, feature engineering, Generative AI, and MLOps. Responsibilities include performance tuning, CI/CD automation, production support, technical design, lifecycle management, stakeholder collaboration, and translating business requirements into secure, reliable data platforms.

Owns and advances BI, analytics, and data warehousing platforms. Designs Oracle BI and Power BI dashboards, develops and maintains ETL processes and data models, monitors platform performance, resolves data quality issues, and supports data governance. Collaborates with architects, IT teams, data stewards, and business stakeholders on reporting, analytics, system integrations, platform upgrades, migrations, and production changes. The role requires deep experience with Oracle BI, OAS, OBIA, ODI, Power BI, SQL, PL/SQL, and enterprise data warehouses.

Builds and maintains business development dashboards, datasets, reports, automated workflows, and AI-enabled internal tools. The role analyzes pipeline and revenue performance, develops research-backed briefs, improves existing systems, and identifies new data solutions. It partners with IT, Data, and AI teams, translates stakeholder needs into technical requirements, presents findings to leadership, and mentors colleagues on analytics and tooling.

Administer and sustain InterSystems IRIS and Caché database environments supporting VA healthcare data migration and EHR modernization. Responsibilities include configuration, upgrades, troubleshooting, replication, performance tuning, capacity planning, backup and recovery, high availability, monitoring, documentation, and production support across development through production environments. The role requires Linux administration, cross-functional collaboration, on-call support, U.S. citizenship, and eligibility for a Government Public Trust clearance.

Operationalize data governance policies and standards across technology and business domains. Maintain metadata repositories and data catalogs, manage data quality exceptions, coordinate remediation, monitor governance metrics, and build Power BI dashboards. Partner with data stewards, owners, project managers, Scrum Masters, and agile delivery teams to embed governance requirements, manage risk, improve data quality, and increase adoption. Provide guidance, documentation, education, and reporting in a regulated enterprise environment.

Leads item management operations, including item creation, maintenance, mapping, taxonomy governance, data quality resolution, and reporting. Coordinates internal stakeholders and external partners to standardize product information and identifiers across systems. Oversees project cadence, issue resolution, corrective actions, team workload, coaching, and performance management. Supports data governance, taxonomy standards, and system implementation initiatives.

Oversee enterprise finance platforms and data workflows, including data-flow architecture, integration mapping, master data governance, data quality standards, platform documentation, and automated workflows. Monitor integration health, resolve data anomalies, and partner with finance, IT, and business leaders on platform initiatives. Requires strong SQL, relational database, data modeling, governance, analytical, communication, and project coordination skills.

Designs and maintains scalable data pipelines, develops dbt transformation workflows, and architects Snowflake data models and warehousing solutions. Integrates multiple data sources, implements quality monitoring, troubleshoots pipeline issues, optimizes SQL and warehouse performance, documents architecture, and collaborates with analysts, data scientists, and stakeholders to deliver reliable analytics infrastructure.