Top Data & Analytics Jobs in Dallas, TX

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.

Lead validation of enterprise analytical tools, plan and execute validation projects, assess methodology quality and risk, prototype best practices, communicate findings via reports and presentations, and coach junior staff while partnering cross-functionally to influence business strategy.

Design and lead enterprise-scale data architecture across hybrid and on-prem platforms. Define patterns for application, analytics, workflow, and AI workloads, mentor teams, influence senior leadership, and drive modernization, security, scalability, and TCO/ROI decisions.

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.

Design and implement branch and banker performance metrics, customer attribution and peer benchmarking frameworks. Partner with data, product, finance, and compensation teams to embed metrics into reporting and incentive plans, standardize dashboards, govern customer lists and peer groups, and drive cross-functional execution and continual improvement to align field behavior with business strategy.

As a Salesforce TPM Manager, you will lead Trade Promotion Management implementations, translate requirements into solutions, mentor teams, and foster client relationships while ensuring adherence to project quality and timelines.

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.

Design, develop, and maintain Python data pipelines and CI/CD deployments to build business data objects. Implement source-to-target mapping as pipeline code, write unit and integration tests, build engineering automations, and resolve complex application issues. Collaborate cross-functionally, apply GenAI tools to improve developer productivity, and work with AWS services and Snowflake to support data-driven applications.

Design and build dashboards, presentations, and visualizations that translate complex data into actionable insights. Collaborate with cross-functional stakeholders across the Americas to support Networks programs, present results to senior leadership, and apply an AI/automation-first approach to improve reporting and decision-making.

The Senior Business Intelligence Analyst will design BI information models, dashboards, metrics and reports, utilizing SQL, R, and Python to enhance business productivity.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.