Top Analytics Jobs in Dallas, TX

Lead enterprise data and analytics strategy, operating model, and governance to modernize reporting, build a scalable Azure-based lakehouse platform, standardize semantic models and metrics, enable self-service analytics, and drive AI-enabled productivity. Partner with executives, IT, and business teams to prioritize delivery, manage governance and vendors, and measure business value from analytics initiatives.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

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

The Analytics Engineer builds and maintains data models for analytics, ensuring data quality and enabling self-service insights for analysts across the organization.

Lead analytics and reporting for HCM: analyze large datasets, design and implement BI and AI applications, build scalable ETL pipelines, dashboards and reports, manage analytics initiatives, collaborate with stakeholders, and automate processes using modern data platforms and visualization tools.

Lead a small analytics team to deliver end-to-end interactions and events analytics: define data, pull and analyze datasets, build insights and recommendations, create and automate dashboards/reports, coach team members, partner with stakeholders, and drive continuous improvement to improve client interactions, retention, and operational performance.

Lead financial and analytics support for e-commerce and digital channels, perform test market and post-promo analyses to evaluate incrementality and profitability, develop product and promotion pipeline insights, partner with supply chain and cross-functional teams, and deliver ad hoc reporting and financial modeling to drive sales and profit growth.

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.

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.

Manage data analytics efforts across Operations: triage and root-cause data issues, partner with engineering/data/customer success to implement solutions, scope and execute analytical requests, produce reports and dashboards, and communicate findings to technical and non-technical stakeholders.

Lead complaints analytics and reporting: build data infrastructure, design and publish dashboards, perform deep-dive analyses using SQL and advanced analytics (including NLP), present insights to senior leaders, support controls, governance, audits, and cross-functional stakeholder engagement.

Lead complex analytics projects for commercial real estate: translate business needs into data solutions, perform advanced statistical modeling and scenario analysis, design launch and change-management plans, mentor junior analysts, and partner with technical teams to implement cloud-based analytics (Azure) and visualization solutions.

Deliver advanced analytics across the remarketing lifecycle to optimize proceeds, cycle time, and channel performance. Build scalable analytics solutions, dashboards, and scorecards; monitor performance and run strategic tests; translate data into insights for stakeholders; mentor junior analysts; ensure data governance and quality; partner cross-functionally to align metrics and drive decision-making.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Build end-to-end conversion and funnel measurement for mid/lower funnel, create dashboards and attribution frameworks, analyze drop-offs and agent performance, generate actionable insights for operations, document methods, and automate reporting using AI tools.

Lead engagement analytics to measure and improve member funnel conversion. Own reporting infrastructure, drive ad hoc and cohort analyses, define funnel methodology, ensure data QA, apply automation and AI-assisted tools, and partner with Member Services and Operations while managing and mentoring analysts.

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.

Manage and develop a team of analysts to convert retail, shopper, and syndicated data into actionable insights. Shape pricing, promotion, placement, and product strategies, build measurement frameworks to track ROI, manage client relationships, and develop tools, methods, and data solutions to drive growth.

Lead BI Analyst delivers deep-dive analytics and insights on sales, gains/losses, margins, and market opportunities. Builds dashboards and reports, analyzes financial impacts (NPV, PV/I), supports cross-functional initiatives, and provides executive-level recommendations using SAS, SQL, R, Tableau, and big data tools.

The Solutions Architect IV - Data Analytics will engage with stakeholders, define data architecture best practices, design data integration workflows, develop enterprise BI dashboards, and oversee cloud data warehouse optimizations.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

Responsible for defining, designing, and building dimensional databases, ensuring data integrity, and implementing data standards and guidelines.

Define enterprise Payment Integrity strategy across lines of business, identify and prioritize opportunities, and develop roadmaps. Lead cross-functional teams in data product development, oversee budgets and resource allocation, build business cases and cost-benefit analyses, manage strategic partnerships, and ensure database architecture, infrastructure, and integration align with initiatives. Drive change management, stakeholder communication, and executive-level decisions.

Lead end-to-end healthcare claims data initiatives: design and optimize SQL-based data models, develop claim adjustment sequencing and utilization metrics, apply transaction/standards expertise (837, 834, 820, HL7, CCDA), assess disparate data sources, identify data gaps, and partner with product, analytics, and engineering to deliver scalable, high-performance claims analytics with strong ownership and minimal oversight.

Perform actuarial forecasting and pricing analytics: build and test models, improve processes, mentor teammates, create training materials, communicate insights to stakeholders, and manage risk compliance.