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.

Design and build analytics-ready data models and a governed semantic layer in Databricks/Snowflake. Translate stakeholder requirements into reusable datasets, implement data quality controls, optimize model performance, document lineage and metrics, and enable self-service BI.

Lead digital analytics efforts to define OKRs, run A/B tests, analyze digital customer behavior, and deliver actionable insights to product, tech, and design partners to improve engagement and customer satisfaction.

Lead and support enterprise BI/analytics solutions using MicroStrategy and other BI tools. Perform complex data analysis, develop dashboards and KPIs, optimize queries, troubleshoot production issues, mentor staff, and collaborate on cross-group projects while ensuring compliance and data quality.

Lead analytics consultant responsible for administering enterprise BI and analytics platforms, managing authentication/security, data access controls, metadata and performance tuning. Enable self-service analytics through documentation, onboarding, and governance. Support platform upgrades, release validation, data integration, and troubleshoot production issues while advising stakeholders and leading projects and teams.

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.

Lead infrastructure analytics for Banking & Wealth Management, building measurement, forecasting, optimization, and control frameworks for token/GPU/core infrastructure. Partner with technology and finance stakeholders to create forecasting models, self-service dashboards, KPI scorecards, data governance, capacity planning, and executive-ready materials to inform investment and operational decisions.

Partner with analytics teams to measure and improve marketing effectiveness; build AI-enabled detection and alerting solutions; translate business questions into analytical approaches; deliver actionable recommendations; own projects end-to-end and communicate insights to technical and non-technical stakeholders.

Support product analytics for employee digital products by integrating digital and offline data, building measurement frameworks, creating visualizations and insights, collaborating with product and engineering to translate goals into specifications, and enabling BI capabilities to inform product roadmap and improve employee experience.

Design and maintain core SMB Payments metrics and dashboards, perform deep-dive analyses to surface trends and drivers, build scalable datasets and self-service analytics, and apply LLM/AI techniques to augment analytics while ensuring secure, auditable production solutions.

Support home lending risk strategy by performing data-driven analyses, identifying trends, monitoring emerging housing and regulatory risks, and delivering clear recommendations and visualizations. Partner with Risk Policy, Product Strategy, and cross-functional teams to design risk segmentation, controls, and performance monitoring to align growth with the firms risk appetite.

Lead analytics for branch network optimization, new branch and ATM strategy by integrating internal and external data, producing actionable insights, presenting to senior leaders, and partnering cross-functionally to champion analytics best practices.

Lead end-to-end MIS delivery including requirements, data acquisition, ELT/ETL pipeline development, validation, and dashboarding. Build automated pipelines, implement CI/CD/version control, apply advanced analytics (forecasting, anomaly detection, segmentation), enforce data quality and governance, translate insights for executives, prioritize and manage initiatives, mentor junior staff, and ensure audit-ready documentation and reproducibility.

Lead end-to-end analytical projects for alternative lending: define metrics, source and analyze data, design experiments, build reports and present insights to senior leadership to influence product and customer strategies.

Design and implement scalable approaches to formalize product-level data semantics across heterogeneous systems. Build reusable linkage and metric patterns, embed governance (lineage, ownership, validation), partner with data owners and technology teams, manage intake/prioritization, support platform migrations, and develop the distributed analytics team.

Lead data management strategy and risk frameworks for the Global Payment Network. Define and monitor KRIs, oversee data controls, data quality monitoring, metadata health, and data issue management. Manage and develop a team of data professionals.

Lead customer analytics projects by mining large and real-time datasets, building statistical and machine-learning models, integrating internal/external sources, creating dashboards and presentations, and partnering with business stakeholders to drive customer insight and strategy.

No responsibilities, objectives, or required qualifications are provided in the job description. The posting only includes the job title (Data Analytics Lead) and placeholders without substantive details.

Implement, install and administer an advanced analytics platform and workspaces (SAS, Tableau, R, ML). Ensure IT policy compliance and service levels, support connectivity to data sources (Hadoop, Oracle, SQL Server), perform capacity planning, performance tuning, document procedures, troubleshoot issues, coordinate implementation with architects and service providers, and automate platform administration with scripting.

Perform data collection, cleaning, analysis, and reporting to generate actionable insights. Build dashboards and visualizations, collaborate with stakeholders, and support data-driven decision making.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

Design, validate, and optimize fraud detection strategies for digital products (Zelle, Wires, BillPay). Perform complex analysis using SAS/SQL/Excel, track strategy performance, run defect reviews, develop fraud variables, produce reports for senior management, and partner with claims, policy, product, and engineering teams to implement mitigations and project-manage strategy requirements and testing.

Develop, maintain, and enhance reporting and analytical solutions; partner with stakeholders to deliver insights on utilization, financial performance, enrollment, and other healthcare metrics; build recurring reports and ad hoc analyses; create dashboards and translate complex healthcare and financial data into actionable recommendations for clients and business partners.

Lead IFM analytics and reporting to drive financial, sales, and operational performance. Deliver monthly financial reporting, claims and call center analytics, forecasting, dashboarding, and vendor invoice validation. Partner with Finance, Sales, Operations, Actuarial, and IFM leadership. Manage and develop a team of analysts, prioritize work, and translate complex data into actionable recommendations to optimize business performance.