Top Analytics Jobs in Dallas, TX

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Lead Pillar 3 reporting strategy and standardized frameworks; build executive scorecards and KPIs across BI platforms; translate multi-source data into executive insights; advise senior leadership; coordinate cross-platform reporting; mentor analysts and establish data modeling, KPI design, and visualization best practices.

The Chief Data Officer will lead the enterprise-wide data strategy, ensuring data quality and governance while driving AI initiatives and business value.

As an Analytics & Insights Specialist at Gartner, you will conduct in-depth analyses, provide actionable insights, and support enterprise leaders in strategic decision-making.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.

The Director of Data Quality and MDM Operations ensures trusted data across the enterprise through effective data quality and master data strategies, leading a team and collaborating with stakeholders to implement and improve data processes.

Provide analytical support and consultancy for Payment Integrity stakeholders. Query diverse data sources, build models and dashboards (Tableau/Power BI), perform statistical analysis (SQL/R/Python), and present insights to business and senior leaders to drive initiatives and improve claims/payment processes.

The Manager, Credit Strategy will drive innovation in Auto Finance Analytics, managing risk, growth strategies, and leveraging data resources for profitability.

The Solutions Architect IV - Data Analytics will engage with stakeholders, define data architecture best practices, design data integration workflows, develop enterprise BI dashboards, and oversee cloud data warehouse optimizations.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

Responsible for defining, designing, and building dimensional databases, ensuring data integrity, and implementing data standards and guidelines.

Define enterprise Payment Integrity strategy across lines of business, identify and prioritize opportunities, and develop roadmaps. Lead cross-functional teams in data product development, oversee budgets and resource allocation, build business cases and cost-benefit analyses, manage strategic partnerships, and ensure database architecture, infrastructure, and integration align with initiatives. Drive change management, stakeholder communication, and executive-level decisions.

Lead analytics and reporting for transaction management, validate and maintain transaction data, support transaction coordination and critical date tracking, partner with BI/IT for reporting automation, manage change requests and Key Business Elements to improve processes and enable transactions.

Lead a CX analytics team to solve complex business problems using advanced analytics, modeling, and visualization. Mentor analysts, build analytics roadmaps and OKRs, synthesize insights for senior leadership, manage stakeholders across a matrixed organization, and operationalize repeatable analytics to free bandwidth for higher-value work.

Lead end-to-end healthcare claims data initiatives: design and optimize SQL-based data models, develop claim adjustment sequencing and utilization metrics, apply transaction/standards expertise (837, 834, 820, HL7, CCDA), assess disparate data sources, identify data gaps, and partner with product, analytics, and engineering to deliver scalable, high-performance claims analytics with strong ownership and minimal oversight.

The Senior Analyst will support Torchlight Asset Management in portfolio analysis and reporting, working with various stakeholders and improving processes.

Lead a data analytics team delivering statistical modeling and data science projects. Define standards, coordinate cross-functional analytics objectives, manage people and budgets, resolve complex issues, provide recommendations from detailed analyses, ensure timely, high-quality delivery, and maintain regulatory and ethical compliance.

Perform actuarial forecasting and pricing analytics: build and test models, improve processes, mentor teammates, create training materials, communicate insights to stakeholders, and manage risk compliance.

The Program Director of Data & Analytics at Prologis will lead teams in transforming data through AI, overseeing budgets, resource allocation, and ensuring effective use of analytics tools while driving adoption and continuous improvement across data initiatives.

Drive sales and business development analytics to translate complex sales, customer, and financial data into actionable insights. Build dashboards and KPIs (Power BI, Excel), support forecasting and demand planning, monitor pipeline and revenue performance, ensure data quality across CRM/Margin Minder, and partner cross-functionally to influence commercial strategy and improve sales productivity and profitability.

The Assistant Director will oversee data-related needs for Undergraduate Enrollment, manage reports, assist with data queries, and provide data support for enrollment initiatives.

The Analyst, Investment Analytics supports NLG Capital's investment strategies by analyzing data, creating monitoring tools, and collaborating with the CIO team.

Design, build, and maintain scalable finance data pipelines and semantic models. Translate business needs into data structures, optimize production solutions, automate ETL/orchestration, document systems, and provide technical leadership to junior engineers while partnering with stakeholders and analytics teams to support timely, data-driven decisions.

Lead design and implementation of a Databricks-driven data ecosystem, including lakehouse/EDW, IoT and streaming ingestion pipelines, ILM, global data governance, and dataset creation for advanced analytics.

Design and develop big data analytics and data management solutions using Hadoop ecosystem and cloud platforms (AWS/Azure). Build ETL and analytics pipelines with Java/Python/Scala, leverage tools like Spark, Hive, Pig, and cloud services. Collaborate on architecture, troubleshoot data issues, and apply analytical problem-solving.