Top Hybrid Senior Level Data & Analytics Jobs in Dallas-Fort Worth, TX

Lead the creation of Harvey's people analytics function: build the people data layer, consolidate HRIS/ATS data, define metrics and methodologies, deliver dashboards and forecasts, surface leading indicators for intervention, enable self-service, and partner cross-functionally to drive data-informed people decisions.

The Data Operations Sr. Manager leads data operations by managing daily workflows, improving data quality, and collaborating with teams to deliver data solutions. Responsibilities include troubleshooting issues, automating processes, and coaching the operations team while ensuring compliance with healthcare data standards.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

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.

Lead and execute ad measurement and targeting research: scope projects, run analyses, produce client deliverables, support sales with data requests and RFPs, optimize campaigns, and advise on targeting and measurement strategies using proprietary tools and third-party data providers.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Senior Data Analyst will analyze concrete plant performance using Batch AI, identifying inefficiencies and translating findings into insights for product improvement.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Design, build, and maintain end-to-end production data pipelines and ontologies in Palantir Foundry. Ensure governance, data quality, lineage, monitoring, and reliability. Translate business requirements into governed data products, collaborate with analytics and business teams, apply software engineering best practices, and provide technical guidance across the data organization.

The Senior Systems Analyst will design systems based on project requirements, manage technical support initiatives, prepare documentation, and conduct user training. They will collaborate with governmental personnel to meet IT needs and ensure quality control in deliverables.