Top Senior 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.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.

The Director of Data Quality and MDM Operations ensures trusted data across the enterprise through effective data quality and master data strategies, leading a team and collaborating with stakeholders to implement and improve data processes.

The Chief Data Officer will lead the enterprise-wide data strategy, ensuring data quality and governance while driving AI initiatives and business value.

Perform complex fraud analytics and modeling to detect and mitigate account takeover and non-monetary fraud. Use SQL/SAS, Excel, Tableau and Hadoop tools to derive insights, create and maintain detection rules, lead performance reporting, investigate major losses, implement mitigation controls, and collaborate with cross-functional stakeholders to reduce fraud loss and improve customer experience.

The Business Intelligence Analyst will lead data analysis efforts, create actionable insights, drive business processes optimization, and enhance data literacy within cross-functional teams in the organization.

As a Senior Analytics Engineer, you will manage analytics infrastructure, design data models, build dashboards, and integrate AI/ML into analytics processes to aid decision-making in food and beverage supply chains.

Lead analytics for performance measurement in marketing campaigns, develop insights for optimization, and drive data strategies across media channels. Manage a team of analysts and innovate analytical solutions for client needs.

Senior actuary responsible for developing and optimizing pricing and predictive models (GLMs and other techniques), conducting rate adequacy and portfolio profitability analyses, building data pipelines and tools, and partnering with underwriting, claims, finance, and IT to align pricing strategies and support complex accounts and product development.

Embed within a core business area to define problems, build metrics, reports, analyses, and experiments, and drive outcomes. Translate data into recommendations, influence leadership, and own end-to-end execution across growth, product, AI/automation, or partnerships.

Embedded BizOps analyst owning analytics end-to-end for growth, product, AI, or partnerships: define problems, build reports and experiments, surface insights, recommend actions, and drive cross-functional execution to improve key metrics.

Embedded on a core business unit within BizOps & Analytics, you will define problems, build metrics and reports, run analyses and experiments, surface insights, and drive recommendations end-to-end to improve growth, product, AI/automation, or partnerships.

Embed with a core business area to define problems, build metrics, reports, analyses and experiments, surface insights, make data-driven recommendations, and drive execution end-to-end to improve key business metrics.

Design and develop end-to-end data integration and analytics engineering pipelines across RDBMS, MPP, Hadoop, and Azure Databricks. Lead projects, provide technical guidance, build Enterprise BI data marts and semantic layers, and collaborate with stakeholders to deliver data products and insights.

Lead a data analytics team delivering statistical modeling and data science projects. Define standards, coordinate cross-functional analytics objectives, manage people and budgets, resolve complex issues, provide recommendations from detailed analyses, ensure timely, high-quality delivery, and maintain regulatory and ethical compliance.

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.

Lead enterprise BI capabilities: define BI roadmap, standardize KPIs, deliver dashboards and self-service analytics (Power BI/Tableau), oversee report lifecycle, governance, and data quality. Build and manage a BI team, partner with data engineering and business leaders, introduce AI-assisted analytics, and support audit readiness.

Lead analytics for incentive compensation: define KPIs, measure plan effectiveness, build scalable data pipelines, improve data quality and controls, ensure audit-ready reporting, partner with distribution, HR, and compliance, simplify reporting, and manage a team of analysts.

Lead the creation of Harvey's people analytics function: build the people data layer, consolidate HRIS/ATS data, define metrics and methodologies, deliver dashboards and forecasts, surface leading indicators for intervention, enable self-service, and partner cross-functionally to drive data-informed people decisions.

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

Lead technical analytics for client and employer group reporting: build, validate, and automate data files and reports. Partner with account teams and vendors to gather requirements, perform UAT, compare datasets with SQL/Python, troubleshoot discrepancies, and implement automation for monitoring, validation, and report generation to enable scalable self-service solutions.

Lead complex data and financial analytics projects, applying advanced modeling techniques to improve business processes and influence executive decisions.

Manage and develop a team of data analysts to deliver strategic analytics projects, ensure data accuracy, build reports and dashboards, translate insights into business recommendations, improve operational processes, coordinate cross-functional projects, and support budgeting and team development.

Lead decision science efforts for corporate and people analytics by designing experiments, performing explanatory and inferential analyses, building diagnostic and multivariate models, synthesizing insights, influencing strategic decisions, ensuring data quality and best practices, and mentoring analytic talent while partnering across the enterprise.

As a Senior Analyst, Strategic Analytics, you will drive and oversee analytics projects through their lifecycle, formulate business strategies, and collaborate across teams to enhance profitability.