Top Senior Analytics Jobs in Dallas, TX

Leads development, implementation, documentation, and governance of statistical, predictive, and machine learning models for auto finance. Develops solutions for risk assessment, loss forecasting, pricing optimization, and portfolio performance. Advises senior leaders, partners with risk and governance teams, supports validation and regulatory compliance, and communicates analytical recommendations to stakeholders.

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 a marketing analytics team responsible for evaluating campaign performance, delivering in-flight and post-campaign insights, and optimizing marketing effectiveness. Partners with stakeholders and senior leaders, oversees statistical modeling and experimentation, analyzes complex datasets, manages resources, and develops analytical capabilities. The role also mentors direct reports, improves data and technical processes, and translates findings into actionable marketing strategies.

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 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 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.

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.

Analyze and organize healthcare supply purchase and contracting data to identify gaps, validate accuracy, apply contract and benchmark information, and produce customized client reporting. Translate findings into clear, data-driven insights, support purchasing and contracting decisions, manage project schedules and data requests, and collaborate with internal and external partners while developing category and industry expertise.

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.

Leads enterprise business performance analytics by evaluating organizational, financial, and operational results. Develops dashboards, executive reporting, and strategic analyses; investigates root causes, identifies risks and opportunities, monitors strategic objectives, and translates complex healthcare data into actionable recommendations. Partners cross-functionally with Finance, Actuarial, Operations, Network Management, Healthcare Management, Underwriting, Product, and executive leadership to improve enterprise performance.

Leads advanced analytics for wireless offer performance and investment efficiency. Analyzes diverse data sources, evaluates profitability, customer quality, spend, growth, and forecast accuracy, and applies statistical, predictive, trend, and scenario modeling. Develops test-and-learn frameworks, dashboards, scorecards, and executive insights. Partners with Offer Strategy, Finance, Marketing, and leadership to guide offer design, targeting, pricing, budget allocation, forecasting, OEM negotiations, and investment decisions.

Leads the strategy, governance, delivery, and operational execution of business and data analytics for USAA’s Voice of Member program. Oversees data platforms, reporting, advanced analytics, information management, and self-service capabilities. Advises senior leaders through data-driven insights, manages teams and capacity, directs complex projects, ensures risk and compliance, and translates member feedback with operational, financial, behavioral, and market data into business decisions.

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.

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.

Creates business insights, analytics, datasets, and reports to support divisional strategy. Consults with business users, leads cross-functional projects, analyzes internal and external data, identifies trends, validates reporting accuracy, and translates technical findings into actionable recommendations. Builds tools with data teams, develops customer relationships, and supports complex business decisions through research and reporting.

Designs, builds, deploys, and operates scalable data pipelines and cloud-based data architectures supporting lending analytics across Mortgage and Personal Loans. Responsibilities include data ingestion and transformation, schema design, SQL optimization, workflow orchestration, monitoring, troubleshooting, data quality, and generative AI integration. The role also establishes engineering standards and collaborates with analysts, engineers, and governance teams to deliver reliable production data systems.

Leads the Data Engineering and Analytics team, managing people, strategy, intake, prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products; improves reliability, code quality, and operational processes. Guides predictive and prescriptive analytics initiatives, including forecasting, recommendation, and segmentation models, with responsible healthcare data governance. Partners with product, operations, executives, clients, and vendors while supporting accurate reports, invoices, and monthly close activities.

Leads the strategy, architecture, development, and optimization of Neighborly’s AWS data platform, data lake, and enterprise data pipelines. Partners with marketing, analytics, data science, and business teams to deliver trusted data for customer engagement, reporting, AI/ML, and GenAI. Establishes engineering standards, governance, monitoring, quality, and operational processes while leading and developing a high-performing data engineering team.

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.

Owns TrendAI’s AI-generated answer visibility measurement program, including baselines, prompt methodology, recurring reporting, citation and competitive analysis, and entity representation. Translates findings into actionable content, PR, social, and messaging recommendations, partners with cross-functional teams to implement them, and evaluates outcomes. Requires enterprise B2B technology experience, AI visibility expertise, marketing analytics, knowledge-graph familiarity, technical fluency, and people-leadership readiness.

Leads advanced analytics for wireline pricing by analyzing complex datasets, validating algorithmic pricing models, applying statistical and predictive modeling techniques, and identifying opportunities to improve revenue and margin. Develops business cases, dashboards, reports, and visualizations using analytics platforms. Translates data patterns and model results into strategic, actionable recommendations for business partners and executives.

Leads analytics engineers and analysts delivering data pipelines, data models, governed data products, and reporting for sales and marketing analytics. Manages priorities, quality standards, stakeholder partnerships, personnel development, and recommendations from analytic results. Requires healthcare data analysis, leadership, client-facing communication, and reporting experience. Preferred qualifications include Databricks, advanced SQL, dbt, data warehousing, dimensional modeling, ELT/ETL, data quality frameworks, and healthcare domain knowledge.

Leads marketing analytics capabilities, including KPI frameworks, recurring reports, executive dashboards, forecasting, predictive modeling, segmentation, and data governance. Translates marketing and business data into recommendations on acquisition, retention, channel performance, ROI, LTV/CAC, and brand health. Directs analytics resources and partners with Marketing, Sales, Finance, and leadership to support data-driven planning, reporting, and strategic decision-making.

Analyze healthcare claims and eligibility data to identify payment anomalies, trends, and actionable insights. Build and maintain dashboards, conduct data audits, fulfill ad hoc analytical requests, automate recurring reporting processes, and communicate findings to technical and non-technical stakeholders. The role partners with account managers, clinical teams, and operational teams to support client conversations and improve healthcare cost-management outcomes.

Lead the design, development, optimization, and deployment of enterprise Power BI dashboards, reports, data models, and analytics solutions. Translate stakeholder requirements into actionable insights, develop DAX, Power Query, and SQL solutions, improve performance and scalability, support data modernization, collaborate with offshore teams, establish BI standards, mentor junior staff, and manage risk and controls.