Top Data & Analytics Jobs in Dallas, TX

Develops business requirements, metrics, reports, and dashboards to support data-driven decisions. Performs database administration, data analysis, and data development across project lifecycles. Uses Power BI for data modeling, transformations, and visualizations, and SQL for analytical queries and database objects. Leads technical and business working sessions, documents requirements, communicates findings appropriately, supports project completion, and guides less-experienced team members.

Builds and maintains scalable ETL processes, database systems, data products, and real-time or offline analytics tools. Integrates large-scale data, ensures pipeline reliability and data integrity, translates business requirements into maintainable code, and supports analytical solutions such as Tableau dashboards. Partners with stakeholders, troubleshoots production issues, conducts testing and releases, provides data guidance, and trains users on tools and data sources.

Administer Raiser's Edge and Raiser's Edge NXT for fundraising and membership programs. Maintain constituent data integrity, governance standards, security, duplicate management, imports, exports, integrations, reporting, dashboards, and segmentation. Support donor and member analytics, portfolio management, reconciliations, staff training, system transitions, documentation, and user support. Collaborate with Development, Membership, Finance, Marketing, and other departments to improve data quality, reporting, and constituent relationship management.

Build governed Snowflake data marts and Sigma dashboards while migrating legacy SQL Server logic. Reverse-engineer stored procedures, views, and queries; translate business requirements into reliable reporting; establish standardized metrics, semantic layers, documentation, governance, and data-quality practices for sensitive healthcare claims data.

Analyze, document, and validate functional and nonfunctional requirements for Capital Markets programs. Collaborate with stakeholders and technical teams to clarify objectives, processes, operating models, and regulatory requirements. Resolve requirement gaps, ambiguities, and dependencies while supporting data analysis, data mapping, governance, Agile practices, product ownership, and team leadership. The role requires B2C customer experience expertise, including investor experience definition, and is performed onsite in Richardson, Texas.

Designs and develops scalable big data platforms and data architectures using Azure or AWS. Translates business objectives into technical strategies, supports data warehousing, business intelligence, master and reference data management, and develops data services through REST APIs. Leads client initiatives, creates system diagrams, establishes architectural governance, analyzes business processes, advises on emerging technologies, and mentors data architects and engineers. The role involves extensive client travel averaging 30–50%.

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.

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.