Top Analytics Jobs in Dallas, TX

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Lead definition and execution of card systems and data architecture strategy, design target-state architectures (lakehouse, streaming, data mesh, knowledge graphs), drive integrations and APIs, ensure compliance and resiliency, and collaborate across product, engineering, infrastructure, and operations to deliver scalable, secure card-processing and analytics solutions.

Lead data management strategy and risk frameworks for the Global Payment Network. Define and monitor KRIs, oversee data controls, data quality monitoring, metadata health, and data issue management. Manage and develop a team of data professionals.

Lead customer analytics engagements using data manipulation, visualization, statistical and predictive modeling. Build and maintain data pipelines, deploy scalable Power BI/Tableau solutions, manage and mentor teams, collaborate with client leadership to identify opportunities, and drive technology-enabled, data-driven decisions.

Design and develop end-to-end data integration and analytics engineering pipelines across RDBMS, MPP, Hadoop, and Azure Databricks. Lead projects, provide technical guidance, build Enterprise BI data marts and semantic layers, and collaborate with stakeholders to deliver data products and insights.

Serve as an individual-contributor actuarial analytics partner to brokers and clients, build complex risk and pricing models, assess reinsurance impacts, communicate insights, and modernize workflows using AI and modern tooling for scalable, repeatable analyses.

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 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.

Lead design and governance of a multi-cloud (AWS/Azure) analytics platform. Define architecture blueprints, interoperability, security and compliance, cost optimization, governance, performance tuning, DR, automation/DevOps, and POCs. Partner with engineering, security, and business stakeholders, mentor teams, and drive adoption of analytics cloud technologies.

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.

Produce actionable insights on provider discounts and external benchmarks to inform sales, account management, network, and actuarial decisions. Build dashboards, query diverse data sources, translate complex analytics into presentations, and support enterprise strategy and competitive positioning.

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

Lead analytics strategy and execution for the 7‑Eleven mobile app. Partner with Product, Engineering, Marketing, and Operations to define metrics, build dashboards, run experiments and models, quantify impact, ensure data integrity and instrumentation, and translate analysis into recommendations for senior leaders.

The Sr. Analyst for People Analytics is responsible for delivering insights through analytics to enhance staffing, retention, and productivity, collaborating cross-functionally and solving complex HR-related business problems.

Serve as a strategic People Analytics partner to Sales & Services HR, delivering consultative analytics, solving complex workforce problems, influencing leaders, and shaping product and analytics roadmaps to improve staffing, productivity, and retention.

Lead analytics and consulting engagements for large commercial health plan clients. Use SQL, R/Python, and Tableau/Power BI to analyze claims and population health data, present findings to C-suite, design data layers and coding standards, and drive scalable, high-impact solutions across stakeholders.

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

The Business Intelligence Analyst will lead data analysis efforts, create actionable insights, drive business processes optimization, and enhance data literacy within cross-functional teams in the organization.

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 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.

Build, test, and maintain reusable analytical data models in Databricks using dbt. Onboard data sources, implement single-source-of-truth KPIs, create automated data tests, support releases, triage production issues, and enable analysts through documentation and coaching.

Lead reporting and funnel analytics to measure and improve member conversion. Own dashboards, data validation, and ad hoc analyses; define funnel methodology; build MS Gap analysis; mentor analysts; partner with Member Services and Operations to translate data into executive-level recommendations and automated reporting.

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 and execute reporting, analytics, BI, and AI strategy for Sales, Credit, and Servicing. Build and coach a high-performing analytics team, act as product owner for analytics capabilities, drive platform adoption (Tableau, Snowflake, Databricks, Salesforce/nCino), establish governance and KPI frameworks, and influence executive stakeholders to deliver data-driven business outcomes.