Top Data & Analytics Jobs in Dallas, TX

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.

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.

Owns and enhances a SQL Server-based data warehouse, ETL, and reporting platform supporting screening operations, billing, compliance, and customer reports. Designs SSIS packages and SSRS reports, develops optimized T-SQL, models relational schemas, resolves production issues, tunes performance, manages environment changes, and maintains auditability. Partners with product, QA, and business teams, reviews code in Azure DevOps, mentors junior engineers, and uses AI-assisted development tools.

Design and lead enterprise-grade Databricks Lakehouse architectures, including scalable batch and streaming data pipelines, data models, governance, security, monitoring, and optimization. Lead design workshops, mentor engineers, review code, translate business needs into technical solutions, and support discovery or pre-sales efforts. Drive modernization, cloud migration, data quality, and integration of technologies such as Delta Live Tables, MLflow, Unity Catalog, and streaming frameworks.

Analyze single-family mortgage portfolio risk and support development of an acquisition portfolio optimization tool. Research emerging market, regulatory, and macroeconomic risks; define model requirements with cross-functional teams; assess trends, relationships, forecasts, scenarios, and stress tests; mentor junior analysts; and present recommendations to senior management and stakeholders.

Supports ERP data migration and harmonization by cleansing, validating, mapping, and standardizing business-unit data for SAP S/4HANA implementations. Collaborates with data SMEs and migration teams, validates business rules, resolves data defects, develops data-quality metrics and reports, and supports ongoing data integrity after migration. The role requires strong SAP module and data-structure expertise, with SQL, ABAP, and Syniti experience preferred.

Analyzes digital and traditional media performance, develops KPI reports, and builds dashboards using visualization and analytics tools. Provides insights on media mix, audience targeting, creative effectiveness, and marketing revenue trends. Conducts campaign deep dives, A/B and incrementality testing, and automates reporting processes. Collaborates with marketing and analytics teams to identify performance drivers, resolve issues, and optimize media investments and site performance.

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.