Top Senior Analytics Jobs in Dallas, TX

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.

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.

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.

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.

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.

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.

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.

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.

Lead a team of business analysts to turn product and customer data into actionable insights, engage directly with customers, drive analytics and data model development, advise product and customer success teams, present strategic findings to leadership, and ensure analytics demonstrate customer value and inform business decisions.

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.

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 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.

No responsibilities, objectives, or required qualifications are provided in the job description. The posting only includes the job title (Data Analytics Lead) and placeholders without substantive details.

Implement, install and administer an advanced analytics platform and workspaces (SAS, Tableau, R, ML). Ensure IT policy compliance and service levels, support connectivity to data sources (Hadoop, Oracle, SQL Server), perform capacity planning, performance tuning, document procedures, troubleshoot issues, coordinate implementation with architects and service providers, and automate platform administration with scripting.

Design, build, and maintain finance analytics: write production SQL/Python, validate data, build dashboards and analytic apps, integrate LLM/AI workflows, surface insights to CFO and finance leaders, and collaborate with data engineering and governance to improve data quality.

As Analytics Director, lead teams in analytics across customers and industries, translating business questions into actionable insights, and driving performance by leveraging data and emerging methodologies.

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.