Top Remote Data & Analytics Jobs in Dallas, TX

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Designs, builds, and operates scalable enterprise data platforms supporting ingestion, processing, storage, governance, analytics, and AI/ML. Responsibilities include developing batch and real-time pipelines, lakehouse and warehouse architectures, orchestration, infrastructure automation, CI/CD, monitoring, security, cost optimization, and observability. The role partners with data, ML, DevOps, security, and application teams, troubleshoots complex platform issues, establishes reusable engineering standards, contributes to architecture strategy, and mentors engineers.

Designs, builds, tests, maintains, and optimizes large-scale data pipelines, ETL processes, ingestion workflows, and cloud data storage. Develops Databricks data engineering and AI/ML pipelines, Azure Data Lake solutions, Power BI dashboards, and CI/CD automation. Ensures data quality, security, scalability, cost efficiency, and reusable engineering practices while collaborating with distributed technical teams.

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.

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.

Lead a centralized team delivering data analytics, reporting, automation, and governance across regulatory affairs, quality assurance, and clinical functions. Define divisional strategies, standardize metrics and data sources, scale reusable dashboards and automation solutions, and improve data integrity and operational efficiency. Partner with business, technology, quality, regulatory, and clinical stakeholders while managing portfolios, capacity, budgets, performance, and change initiatives.

Leads a centralized team delivering data analytics, reporting, automation, and governance across regulatory affairs, quality assurance, and clinical functions. Establishes data ownership, metric standards, dashboards, data lineage, automation intake, and support models. Develops divisional strategies, manages portfolios and resources, partners with business and technology stakeholders, and scales analytics and automation solutions to improve data integrity, operational efficiency, and decision-making.

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.

Operationalize data governance policies and standards across technology and business domains. Maintain metadata repositories and data catalogs, manage data quality exceptions, coordinate remediation, monitor governance metrics, and build Power BI dashboards. Partner with data stewards, owners, project managers, Scrum Masters, and agile delivery teams to embed governance requirements, manage risk, improve data quality, and increase adoption. Provide guidance, documentation, education, and reporting in a regulated enterprise environment.