Top Analytics Jobs in Dallas, TX

Leads digital analytics for Chase products by analyzing customer behavior, developing OKRs, measuring A/B tests, identifying growth opportunities, and delivering actionable data stories. Partners with Product, Technology, Design, and Strategy teams to improve customer satisfaction, engagement, and relationship deepening. Acts as a subject matter expert, builds analytics capabilities, and translates complex analyses into recommendations for business leaders.

Lead risk analytics for merchant services by assessing credit and fraud risk, developing scoring and machine learning models, identifying emerging trends, and producing governed reporting and insights. Review data, forecasting, and programming models; resolve production and modeling issues; document processes; support regulatory compliance; and collaborate with risk, compliance, technology, and business teams. Lead initiatives, mentor staff, and balance business growth with effective risk mitigation.

Support operational reporting and analytics for Payments Operations by maintaining dashboards, scorecards, metrics, and scheduled reports. Perform SQL-based data validation, reconciliations, issue triage, root-cause coordination, ad hoc analysis, documentation, and control checks. Partner with Operations, Technology, and Data teams to improve reporting reliability, automate manual processes, strengthen governance, and communicate findings and risks to stakeholders.

Lead complex data initiatives from discovery through implementation and adoption. Define data structures, integrations, governance requirements, metrics, validation criteria, and reusable patterns across heterogeneous systems. Partner with business, product, technology, and data-governance teams to establish trusted data foundations, modernize legacy processes, support platform migrations, and enable reliable operational decisions and responsible AI capabilities.

Lead quantitative and qualitative analyses to develop, implement, and monitor credit risk strategies across the card lifecycle. Define problems and success metrics, analyze customer and portfolio performance, design monitoring/reporting, perform root-cause investigations, and translate findings into executive-ready recommendations. Partner cross-functionally to implement policy and controls while ensuring governance and regulatory alignment.

Manage execution, testing, validation, and monitoring of pricing changes in Auto financing systems (CPE and LAZER). Act as liaison between Technology, Pricing, and Finance teams, develop requirements and test plans, run simulations, document results, support system upgrades/disaster recovery, and perform ad hoc portfolio performance and exception analysis.

Support digital product analytics for an application status platform by defining measurement strategies, KPIs, analytical frameworks, dashboards, governed datasets, and anomaly alerts. Analyze platform data, identify trends and performance issues, communicate recommendations to product and technology stakeholders, and collaborate on instrumentation and pipelines. Use AI-enabled tools to accelerate validated analysis while building reusable playbooks and scalable self-service reporting capabilities.

Leads end-to-end data enablement for Supply Chain and Manufacturing domains. Partners with business and technical stakeholders to define use cases, roadmaps, data models, semantic layers, integration requirements, quality controls, and governed data products. Builds and optimizes Databricks lakehouse pipelines using SQL, Python, PySpark, and Delta Lake across complex ERP, manufacturing, procurement, inventory, and finance systems. Establishes standards for lineage, security, documentation, reliability, and production readiness.

Owns data strategy, governance, quality, protection, documentation, and delivery for a credit card product. Partners with business, analytics, technology, risk, and operations teams to define data requirements, deploy data solutions, manage workstreams and KPIs, mitigate data risks, and ensure compliance with firmwide standards. Leads direct or matrixed staff and provides subject matter expertise across data management, engineering, architecture, pipelines, modeling, and analytics.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Leads executive-facing analytics for Home Lending Product Strategy, framing hypotheses, measuring impact, evaluating tradeoffs, and delivering recommendations and business cases. Coordinates analysts across matrixed teams, partners with Strategy, Product, Marketing, Finance, Originations, and Technology, conducts market and competitor research, and translates complex analysis into concise insights for senior decision-makers.

Leads global customer experience analytics strategy, developing analytical frameworks, predictive models, KPI systems, dashboards, forecasting, segmentation, retention analysis, and operational insights. Partners with CX, contact center, product, data, and business leaders to improve satisfaction, efficiency, retention, and business outcomes. Manages analytics initiatives and teams while translating complex data into executive-level recommendations and narratives.

Lead delivery and transformation of financial analytics for investment banking partners. Oversee team utilization and capacity planning, implement AI and automation (UIPath, Python, GPT/Claude) to create scalable products (profiles, pitchbooks, dashboards), partner with research and stakeholders, measure service effectiveness, and identify new analytics opportunities.

Analyzes financial, utilization, and healthcare data to identify inefficiencies and generate actionable insights. Owns analytical requests, defines methodologies, develops models and dashboard requirements, and communicates findings to leadership and nontechnical stakeholders. Partners across business units to monitor performance, manage stakeholder relationships, and track the impact of improvement initiatives within pharmacy program management.

Analyzes healthcare and financial data to identify inefficiencies, improve business performance, and support data-driven decisions. Builds and maintains dashboards, develops analytical models and tools, communicates findings to technical and non-technical stakeholders, monitors initiative impact, and supports strategic pharmacy program projects.

Leads business and data analytics for P&C digital experience transformation. Oversees data strategy, governance, analytics platforms, reporting, information delivery, and advanced AI-enabled solutions. Guides cross-functional teams, influences architecture and prioritization, develops strategic insights, manages risk, and delivers scalable data capabilities supporting member and insurance professional experiences.

Leads enterprise data architecture strategy and governance for Citi’s fraud domain. Responsibilities include developing data models, flows, standards, and remediation frameworks; architecting scalable data solutions; supporting analytics and AI use cases; partnering with senior stakeholders; and managing data architecture analysts. The role requires extensive financial services experience, fraud-domain expertise, enterprise data architecture capabilities, executive communication, and cross-functional leadership.

Analyze data using SQL and relational database tools; design tables, views, procedures, and database objects; support reporting; identify trends, anomalies, and outliers; organize information from multiple sources; and validate databases, program results, and reports for accuracy and completeness.

Analyze multi-channel fraud trends, develop data-driven insights and recommendations to prevent and detect fraud, evaluate controls and authentication strategies, support testing and implementation of fraud controls, and present executive-ready analytics to inform enterprise fraud strategy and prioritization.

Design, develop, and support business intelligence and analytics solutions using SQL, Power BI, data models, and multiple data sources. Translate business requirements into scalable reporting capabilities, validate data quality, troubleshoot pipelines and dashboards, perform ad hoc analysis, document business logic, and collaborate with cross-functional teams in an agile environment.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Supports Southwest Airlines’ Safety Information Management System through data validation, cleansing, reporting, dashboard creation, trend analysis, risk identification, and process improvement. The intern applies statistics, modeling, and analytics techniques to large datasets, assists with system testing and automation, documents workflows, and collaborates with safety, compliance, and cross-functional teams. Additional duties include Salesforce data management, CRM analytics support, stakeholder communications, and maintaining data integrity.

Supports Southwest’s Sales Analytics Team through data analysis, reporting, dashboard creation, CRM support, data cleansing, and business insights. Responsibilities include analyzing Salesforce and internal data, identifying trends and revenue opportunities, maintaining data accuracy, preparing presentations, and supporting Account Managers. The internship is full-time, on-site in Dallas, Texas, for 12 weeks during summer 2027.