Top Data & Analytics Jobs in Dallas, TX

Contract SAP Data Analyst to locate and validate SAP source data, build reports and dashboards from SAP BI/BO and data warehouse sources, and run queries for OTC (primary) and other SAP modules (PTP, EWM, EHS, GTS). Support eCommerce parts business reporting needs and data verification.

Implement and support MicroStrategy reporting (with Cognos skills preferred) in data mart/data-warehouse environments. Work with Oracle and SQL Server backends and apply dimensional modeling knowledge. Full-time, onsite role in Dallas requiring US citizen/GC/EAD work authorization.

Design, develop, and optimize Oracle and MongoDB databases; write complex queries, stored procedures, triggers, and ETL (SSIS/Informatica); perform performance tuning, backup/recovery, and deployment automation; work independently with business analysts to source and transform data from databases and files (XML/CSV); use Autosys and scripting for automation; document solutions and participate in Agile processes.

Work on data visualization and data management within the Data Analytics & Insights team. Build interactive displays and tools using JavaScript and Python, translate complex data into clear visuals, ensure data accuracy, support data storage solutions and processes, perform quality checks, and collaborate with cross-functional teams and environmental scientists.

Analyze large structured datasets to identify trends and drivers, build reports and Power BI dashboards, extract and validate data from multiple systems (Snowflake, SQL), define KPIs with stakeholders, recommend actions to improve business performance, automate and improve processes, and support customer and product initiatives.

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.

Design, build, and operate large-scale Hadoop-based data pipelines and streaming platforms. Implement ETL/ELT with Spark, Hive, Pig, and Sqoop; build Kafka/Flink/Spark Streaming pipelines; optimize performance; manage storage formats (Parquet/ORC/Delta/etc.); enforce data governance, monitoring, and orchestration (Airflow/Oozie); document architectures and mentor junior engineers.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

The Master Data Manager will develop data strategies, manage workflows, enhance data quality, and lead data management teams to achieve business goals.