Top Senior Data & Analytics Jobs in Dallas, TX

The Sterling Data Analyst will enhance order entry systems, maintain Oracle databases, and analyze data for integration with Sterling applications, requiring strong SQL skills.

Analyzes multi-channel marketing performance, conversion funnels, landing pages, and A/B tests to identify trends, performance drivers, and optimization opportunities. Builds recurring reports and executive-ready insights using large datasets, SQL, and advanced Excel. Partners with marketing, analytics, data, and operations teams to guide strategic decisions, improve data quality, and connect marketing metrics to revenue, unit economics, and company KPIs.

Analyzes global data center and digital infrastructure markets to support business planning, market entry, expansion, site selection, and executive decisions. Evaluates supply, demand, pricing, competition, land, power, infrastructure, and regulatory conditions; maintains market intelligence datasets and analytical frameworks; creates dashboards and executive presentations; and provides informal leadership and mentorship to junior colleagues.

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.

Analyze large and complex datasets using SQL, Python, Spark, Spark SQL, and PySpark in Microsoft Azure environments. Responsibilities include data transformation, validation, profiling, reconciliation, quality analysis, root-cause investigation, scalable data process improvement, documentation, and communicating findings to technical and business stakeholders.

Lead and grow the customer analytics practice for Communications, Media & Technology clients. Define strategy and thought leadership, design CRM modeling, reporting and predictive analytics solutions, and lead delivery of large-scale client engagements.

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 investigations into complex customer complaints and dealer escalations using advanced analytics and root cause methodologies. Mine and model data, build dashboards, identify trends and drivers, recommend corrective actions, and present insights to leadership while partnering cross-functionally to improve processes and ensure compliance.