Top Analysis Reporting Jobs in Dallas, TX

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.

Performs data-quality checks, migration validation, SQL-based reconciliation, discrepancy investigation, and root-cause analysis across large VA healthcare datasets. Supports DMM tools, cutover and go-live activities, reporting, application monitoring, access administration, documentation, and stakeholder meetings. Collaborates with VA, Oracle Health, InterSystems IRIS, engineering, and subject-matter teams to resolve migration issues and implement new data-quality capabilities.

Supports operational reporting, analytics, business intelligence, and automation for advisory operations. Develops and maintains Power BI dashboards, reports, and analytical tools to improve visibility into capacity, service levels, efficiency, satisfaction, and performance. Evaluates operational systems, reconciles data, supports portfolio operations, and contributes to process improvement and project teams. The role also requires learning wealth management operations, securities industry requirements, and relevant financial technology.

Lead the design and delivery of data contracts and Delta Sharing across JLL’s enterprise data platform. Build governed, self-service data access, automated quality validation, shared data models, APIs, testing, and reliability capabilities. Integrate these solutions with ingestion, storage, and API frameworks; mentor engineers; collaborate with technical and business stakeholders; and create documentation that enables broad adoption of standardized data-sharing practices.

Senior Business Analyst leading discovery and requirements definition for Data & AI initiatives. Translates business needs into user stories, technical and functional requirements, and acceptance criteria; coordinates stakeholders, data engineers, BI developers, and product owners through delivery. Manages intake, prioritization, sprint progress, and communication while promoting Agile practices, MVPs, process consistency, and data-driven decision-making. Requires experience with analytics environments, Power BI, Tableau, project tracking tools, SDLC, and data concepts.

Develop software and analyze data to improve data-team efficiency and construction operations. Build, test, and support ETL/ELT pipelines; contribute to Power BI dashboards; automate workflows with Azure services; integrate operational and telematics systems; and participate in Git-based development, testing, documentation, code reviews, and CI/CD. Troubleshoot data quality, refresh, and performance issues while collaborating with experienced data engineers.

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.

Leads client-facing Epic data acquisition engagements, designing extraction methods, interface specifications, and mappings to a canonical data model. Works with Epic, IT, operations, analytics, and 340B stakeholders to deliver validated clinical, pharmacy, scheduling, referral, and provider data. Oversees Clarity, Caboodle, reporting, HL7, FHIR, and SFTP integrations; ensures HIPAA and 340B compliance; resolves complex integration issues; establishes standards and playbooks; and mentors analysts. The role is remote within the continental US and includes travel to client health system sites.

Administer and support Microsoft Fabric, Power BI Server, Power BI Service, and gateways across environments. Manage security, licensing, users, service principals, workspaces, migrations, scheduling, capacity, monitoring, and performance optimization. Connect Power BI to cloud, on-premises, data lake, and Delta Lake sources. Support application teams, troubleshoot system issues, document changes, and participate in on-call coverage.

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.