Top Data & Analytics Jobs in Dallas, TX

Own digital analytics, reporting, dashboard development, data extraction, ETL, and AI-enhanced insight generation for luxury e-commerce. Partner with business leaders and online retail teams to translate questions into analysis, identify trends and opportunities, improve KPIs, and create self-service reporting. Present clear recommendations to leadership, maintain data governance, validate AI-generated insights, and support data and AI initiatives.

Support data wrangling, reconciliation, validation, and recurring reporting for crypto-related investigative analytics within Financial Crime Risk. Prepare, clean, and document datasets for investigative workflows, perform data quality checks, collaborate with stakeholders, handle restricted US-only datasets, and assist senior analysts with production reporting and audit-ready process documentation.

Leads pricing analytics and develops data-driven pricing strategies to optimize gross profit, competitiveness, and customer acceptance. Builds reporting and dashboards, advises network and merchandising teams, supports AI-powered pricing solutions, digitizes processes, and drives experimentation and continuous optimization. Collaborates with Data, Sales, Transformation, Purchasing, and Category Management teams to translate business requirements into pricing solutions and communicate recommendations across the branch network.

Analyzes revenue, market share, capacity, client activity, and market trends to develop pricing strategies across geographies and market segments. Maintains historical pricing databases, evaluates pricing effectiveness, coordinates pricing reports and communications, and ensures data supports product and sales strategies. The role also requires compliance with the company’s Quality Management System.

Lead analytics strategy and execution for the 7‑Eleven mobile app. Partner with Product, Engineering, Marketing, and Operations to define metrics, build dashboards, run experiments and models, quantify impact, ensure data integrity and instrumentation, and translate analysis into recommendations for senior leaders.

Leads consulting engagements that transform complex business problems into scalable data, analytics, and AI solutions. Responsibilities include designing pipelines, integrations, data models, APIs, data products, cloud architectures, analytics applications, and AI-enabled workflows. The role also establishes governance, metadata, lineage, data quality, observability, testing, CI/CD, and production deployment practices while partnering with technical and non-technical clients.

Analytics interns will analyze datasets, generate actionable insights, develop reports, participate in the full analytics lifecycle, support model building and presentations, and complete ad hoc projects. They may work across credit risk, loan servicing, marketing, supply chain, retail, or automotive analytics. The role requires strong analytical, problem-solving, communication, and reporting skills in a fast-paced, on-site environment.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Own the Activation Factory’s partner performance measurement, analytics infrastructure, dashboards, and executive reporting. Define partner health scores and KPIs, ensure data quality across PRM, CRM, and financial systems, build pipelines and a single source of truth, and generate strategic insights on segmentation, ROI, attribution, and program effectiveness. Translate partner feedback and performance intelligence into improvements for partner programs, sales, and operations while communicating clear recommendations to senior leadership.