Top Senior Data & Analytics Jobs in Dallas, TX

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.

Leads advanced data analysis projects, integrates and curates diverse datasets, develops automated reporting and dashboards, applies statistical and emerging AI-enabled analytics, and translates complex findings into actionable business recommendations. The role also mentors junior analysts, manages recurring reporting processes, validates analytical approaches, and supports strategic innovation initiatives.

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.

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.

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.

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.

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.