Top Analytics Jobs in Dallas, TX

Own the Industrial platform’s data infrastructure, datasets, dashboards, models, and AI-enabled analytical workflows. Deliver investor and occupier business-development insights, supply-chain mapping, surveys, executive reporting, presentations, and pursuit support. Partner with Research, Sales Enablement, technology, operations, brokers, and leadership to improve data integrity, self-service reporting, platform capabilities, and automation. Coordinate cross-functional initiatives and translate quantitative analysis into actionable narratives for senior leaders and clients.

Leads the analytics and business intelligence function, including teams, data governance, platforms, integrity processes, and insight delivery. Develops the analytics vision, strategy, roadmap, and execution while advising leadership, overseeing daily BI operations, managing backlogs, supporting IT governance, and ensuring trusted, secure, actionable data. Partners across the organization and leads, coaches, and develops analytics, engineering, architecture, and analyst professionals.

Deliver strategic, data-driven insights supporting sales objectives for Walmart and Sam’s Club. Build client relationships, create sales presentations, analyze syndicated and internal data, manage reporting across clients and categories, standardize best practices, and mentor one analyst. The role requires advanced business application proficiency, strong communication, project management, and the ability to translate consumer and market trends into actionable recommendations.

Leads business insights for Walmart and Sam’s Club clients by developing strategic, data-driven sales presentations and reporting. Uses syndicated, loyalty, consumer, and internal data to influence business strategies and merchant action. Builds client relationships, manages multiple projects, standardizes analytical best practices, and mentors one analyst. Tracks retail and consumer trends while communicating insights that support sales growth.

Leads analytics strategy for complex healthcare sourcing and category portfolios. Directs spend, utilization, supplier, market, pricing, and financial analyses; develops scalable frameworks, dashboards, governance standards, and performance measures; supports RFI/RFP evaluations and value realization; translates findings into executive recommendations; partners with sourcing, supply chain, clinical, finance, and client leaders; and develops analytics talent.

Supports quantitative analytics initiatives under the Manager of Quantitative Analytics. Applies statistical and modeling techniques to evaluate credit, market, liquidity, and profitability risks; researches literature; develops simulations and analyzes complex datasets. Collaborates with credit, risk, accounting, treasury, and IT teams while gaining exposure to financial services, model development, and senior leadership.

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.

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 and implement data models and views for integrating legacy systems with ITBA, focusing on managing various data sources and deriving KPIs for scorecards.

Administer and govern Power BI environments, dashboards, data models, and reporting systems for construction project controls. Develop analytics, data dictionaries, metadata, lineage documentation, process manuals, and governance artifacts. Connect source systems, support ODS structures, validate reports, and ensure data accuracy. Train project controls and construction users, collaborate with IT and project teams, and may supervise staff. The role requires advanced Power BI, DAX, Power Query, SQL, and construction data expertise.

Design and govern scalable Azure-based data platforms and lakehouse architectures, lead data modeling (relational, dimensional, Data Vault), build high-throughput batch and streaming pipelines, enable data governance and security, integrate analytics/ML feature stores and LLM gateways, and partner with engineering and business teams to deliver production-ready data products and Power BI semantic layers.

Analyzes consumer and dealer marketing performance, establishes KPIs, develops dashboards and reports, evaluates web and digital channel behavior, identifies data quality issues, and delivers actionable recommendations. Collaborates with business stakeholders, integration teams, and developers to improve measurement, tracking, customer experiences, and campaign optimization. Requires knowledge of Adobe or Google Analytics, Adobe CJA, Adobe Target, Power BI, web implementation concepts, and statistical analysis tools.

Lead analytics initiatives to inform strategic decision making, providing actionable insights and recommendations using various data sources. Oversee projects, mentor analysts, and guide stakeholders.

Leads advanced analytics, business intelligence, reporting automation, and data modeling for spend management and purchasing performance. Analyzes purchasing, supplier, contract, and operational data; develops KPIs, forecasting models, dashboards, reports, and scorecards; and delivers actionable insights to clients and leaders. Partners across business, clinical, operational, and technical teams while improving data quality, automating reporting, managing analytical deliverables, and providing documentation and training.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Leads the enterprise Data & Analytics function across business-as-usual operations, enhancements, and project delivery. Oversees cross-functional teams, governance, delivery quality, operational metrics, risks, and escalations. Partners with stakeholders and technical leads to define scalable data and analytics solutions, recommends strategic improvements, supports proposals, and identifies growth opportunities. Requires expertise in data engineering, BI reporting, cloud analytics, AWS, Databricks, Python, and SQL.

Perform marketing analytics and quantitative modeling (MMM, attribution, pricing, forecasting) using SAS and statistical tools. Lead project teams, advise clients with analyses, recommendations, and presentations. Heavy client interaction and frequent travel required.

Lead a Business Intelligence team to design data integration, reporting, and dashboards (Power BI/Tableau/Datorama); deliver actionable marketing insights; manage stakeholders, vendors, and legal/compliance interactions; oversee data warehousing, ETL, QA, and project delivery; mentor analysts and drive commercialization and go-to-market for analytics initiatives.

Lead enterprise business strategy, portfolio analytics, operational reporting, and decision-support across Sales, Originations, Servicing, and Dealer Services. Drive analytics strategies to improve profitability and mitigate risk, oversee reporting and data architecture, partner with executives on business initiatives, and lead and mentor analytics teams while ensuring regulatory compliance and communicating insights to executive leadership and the Board.

Build and maintain scalable datasets, data models, and pipelines integrating GA4, Google Ads, call-tracking and SEO tools. Create dashboards and automated, location-level reporting (using Python and BI tools). Lead analyses on website traffic, lead generation, conversion performance, and digital marketing; provide technical direction and reports for franchise network stakeholders.

Lead product and commercial analytics for Product Management: build and maintain forecasting, revenue/margin, backlog and market models; create dashboards and recurring reports; improve data integrity and reporting automation; perform market, competitive, and scenario analysis; partner cross-functionally to translate analysis into executive recommendations; incorporate AI-enabled automation to improve reporting and analytical workflows.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead and develop an analytics team supporting Service and Operations leaders. Prioritize and deliver dashboards, reporting, forecasts, and self-service solutions; ensure analytical quality, data validation, and documentation; identify automation and AI opportunities; translate data into actionable recommendations; and communicate findings to technical and leadership audiences.

Serve as a client-facing analytics subject matter expert: scope projects, define future-state visions, produce high-quality reports and dashboards, identify and fix data issues, drive data stewardship and process improvements, standardize and scale analytics services, mentor onboarding talent, and promote analytics through storytelling and cross-team collaboration.

Perform default reporting and analytics for mortgage servicing portfolios, validate and troubleshoot data and exception reports, conduct root-cause analysis, produce ad-hoc reports, document processes, and collaborate with default management to ensure regulatory-compliant, accurate reporting delivery.