Top Analytics Jobs in Dallas, TX

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.

Entry-level data analytics role in PMGs Graduate Leadership Program. Participate in an 8-week immersive training, use PMGs Alli platform and SQL to analyze marketing datasets, build visualizations, leverage generative AI tools, and deliver actionable insights for client campaigns while rotating across cross-functional teams.

PMG's Graduate Leadership Program (Data Analytics) is an entry-level, full-time role based in Dallas. Candidates complete an eight-week immersive training, learn SQL, data visualization, and PMG's Alli platform (including AI features), and work on real client marketing measurement and campaign reporting to turn complex datasets into actionable insights.

Lead stewardship of the firm's investment data ecosystem: govern classifications, data quality, ETL, reconciliations, vendor feeds, and reporting. Serve as business product owner for the investment data warehouse, support close processes, enable analytics tooling, coach analysts, and lead data workstreams for system implementations and modernization.

Provide quantitative analytics and reporting for private credit portfolios (Direct Lending, Asset-Based Finance, Structured Credit). Build and automate models, dashboards, and data workflows; validate and reconcile investment data; support underwriting, portfolio monitoring, risk oversight, and senior reporting; collaborate with investment, risk, finance, operations, and technology teams.

Lead international development strategy and analytics: identify growth opportunities, support financial modeling and asset strategies, set franchisee goals, improve market-entry and new-opening processes, benchmark KPIs to drive profitability, and partner cross-functionally to implement change.

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.

Senior individual-contributor analytics leader who transforms mortgage servicing and portfolio data into actionable insights. Builds executive dashboards and reports, performs advanced SQL analysis and root-cause investigations, partners with technology and business stakeholders to ensure data integrity, and presents recommendations to senior leadership, investors, and clients to drive operational and strategic decisions.

Lead a supply chain analytics team focused on process mining, network analysis, KPI development, and product-driven analytics. Partner with cross-functional stakeholders and DTS product teams to deliver data architecture, dashboards, automation, and strategic improvements that optimize end-to-end logistics operations.

The Principal Data Engineer will lead complex data projects, design robust data pipelines, and drive architectural strategy for a scalable data ecosystem, while mentoring other engineers and ensuring the quality and usability of data solutions.

Technical manager responsible for designing, building, and operating an enterprise Lakehouse on Azure. Leads data and analytics engineers, defines architecture and governance (Unity Catalog), ensures data quality, SLAs, DevOps/CI-CD, and delivers self-service analytics with Power BI.

Design, build, and scale enterprise Power BI reporting and centralized semantic models. Develop advanced DAX and Power Query solutions, optimize report performance, implement RLS and governance, partner with business and data engineering to enable self-service analytics and standardized metrics, and deliver executive-ready dashboards supporting insurance business decisions.

Design, build, and operate large-scale batch and real-time data pipelines. Implement ingestion, transformation, orchestration, streaming, and downstream delivery using Kafka, Spark, cloud platforms, and workflow tools. Ensure reliability, scalability, performance, security, secrets management, and observability while collaborating with Agile teams to support enterprise analytics workloads.

The Assistant Director will oversee data-related needs for Undergraduate Enrollment, manage reports, assist with data queries, and provide data support for enrollment initiatives.

Design and develop big data analytics and data management solutions using Hadoop ecosystem and cloud platforms (AWS/Azure). Build ETL and analytics pipelines with Java/Python/Scala, leverage tools like Spark, Hive, Pig, and cloud services. Collaborate on architecture, troubleshoot data issues, and apply analytical problem-solving.

Design and develop data management and Big Data analytics solutions using Hadoop ecosystem tools and cloud services. Build pipelines with Spark, Hive, Pig, and streaming or NoSQL systems; use Java/Python/Scala. Collaborate on cloud (AWS/Azure) and DevOps practices; apply analytical problem-solving to implement scalable data solutions.

Lead enterprise-scale Data & Analytics architecture and cloud modernization initiatives using AWS and Databricks. Assess legacy ecosystems, design target-state lakehouse and data warehouse solutions, define migration roadmaps, drive architecture governance, advise CXO stakeholders, and mentor delivery teams while ensuring security, scalability, and data governance.

Lead design and implementation of a Databricks-driven data ecosystem, including lakehouse/EDW, IoT and streaming ingestion pipelines, ILM, global data governance, and dataset creation for advanced analytics.

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

Design, build, and maintain enterprise analytics solutions and semantic data models using Microsoft Fabric, Databricks, SQL, Python, and BI tools. Deliver scalable reporting datasets, executive dashboards, data quality standards, and CI/CD practices. Lead architecture discussions, mentor engineers, collaborate with stakeholders, and drive analytics strategy to enable data-driven decisions.

Lead enterprise-scale cloud and data modernization initiatives, assessing and planning migrations across data, applications, and cloud platforms for clients, ensuring alignment with business goals.

The Analytics Specialist will conduct SQL querying, data cleaning, and validation, build dashboards and automated reports, and support data-driven operations.

Lead technical workstreams to modernize cloud data platforms and build scalable ETL/ELT pipelines, streaming integrations, and data models. Implement governance, observability, security, and CI/CD for data solutions, troubleshoot complex data issues, mentor junior staff, and support client-facing proposals and architecture decisions.