Top Analytics Jobs in Dallas, TX

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.

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.

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.

Lead customer analytics projects by mining large and real-time datasets, building statistical and machine-learning models, integrating internal/external sources, creating dashboards and presentations, and partnering with business stakeholders to drive customer insight and strategy.

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.

Perform data collection, cleaning, analysis, and reporting to generate actionable insights. Build dashboards and visualizations, collaborate with stakeholders, and support data-driven decision making.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

Lead IFM analytics and reporting to drive financial, sales, and operational performance. Deliver monthly financial reporting, claims and call center analytics, forecasting, dashboarding, and vendor invoice validation. Partner with Finance, Sales, Operations, Actuarial, and IFM leadership. Manage and develop a team of analysts, prioritize work, and translate complex data into actionable recommendations to optimize business performance.

Design and build Hadoop-based analytics solutions using Hadoop ecosystem tools. Integrate Hive, MapReduce, Oozie, Sqoop, and Flume with BI products like Tableau. Provide hands-on implementation and contribute to Big Data projects, selecting appropriate ecosystem tools to meet analytic requirements.

Collaborate with Marketing to analyze customer behavior and develop insights using large data sets. Execute analyses on business decisions, and present findings.

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.

Lead end-to-end delivery of credit card pricing and profitability analytics, partner with senior business stakeholders, manage client engagement, oversee model development/validation/implementation, mentor offshore analytics teams, and collaborate cross-functionally to deliver scalable solutions and governance.