Top Senior Analytics Jobs in Dallas, TX

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.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

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.

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.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

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.

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.

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.

Lead reporting and technical support for Commercial Banking: deliver and automate reports/dashboards, manage requests and workloads, maintain data integrity and governance, support production deployments, incident/UAT management, oversee automation workflows (UiPath/PowerAutomate), mentor analysts, and collaborate with stakeholders and IT.

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.

Build end-to-end measurement for mid and lower funnel conversion; create dashboards and attribution frameworks; quantify drop-offs and root causes; analyze member services performance; generate actionable insights and documentation; automate reporting using AI tools; support operations and executive stakeholders with ad hoc and recurring analyses.

Lead Market Influence measurement by defining core metrics, operating the measurement stack, and building the Databricks data warehouse. Own tooling, dashboards, and attribution; distribute intelligence via TrendIQ; collaborate with Marketing Ops, web team, and CI to support AEO/GEO, SEO/SEM, and competitive feeds.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

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.

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.

Design, validate, and optimize fraud detection strategies for digital products (Zelle, Wires, BillPay). Perform complex analysis using SAS/SQL/Excel, track strategy performance, run defect reviews, develop fraud variables, produce reports for senior management, and partner with claims, policy, product, and engineering teams to implement mitigations and project-manage strategy requirements and testing.

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.