Top Senior Data & Analytics Jobs in Phoenix, AZ

Design, build, and maintain ETL solutions using SSIS; develop and tune T-SQL/stored procedures; create BI reports with SSRS/BusinessObjects; maintain database models and SQL Agent jobs; document designs and participate in QA and reviews.

Design, build, test and deploy Power BI reports and dashboards; analyze data, hierarchies and trends; create scorecards, advanced charts and geospatial maps; set up user mapping and security; conduct Power BI workshops and hands-on training. Requires strong SQL and experience with Power BI on Azure HDInsight and SQL Data Warehouse. Minimum seven years in IT.

Serve as primary Snowflake administrator and data pipeline engineer: manage Snowflake security, performance, multi-account administration; design and maintain ingestion pipelines and curated data layers; enable AI agents and semantic views; activate/test Snowflake previews; document runbooks and train teams.

Lead BI and insights function, manage a data analyst, build dashboards and reports, maintain category and retailer data structures, ensure data quality and automation, analyze retailer/shopper/category performance, and present actionable recommendations to customers and internal stakeholders to support growth and strategic planning.

Design and implement large-scale GCP-based data platforms and ETL using PySpark/Spark, BigQuery, Dataproc, Composer/Airflow. Process and analyze large datasets, write SQL, collaborate on BI delivery, and work in a mature Agile team.

Design, build, optimize, and modernize enterprise Microsoft data platforms (Azure, Fabric). Develop ETL/ELT pipelines, data warehouses/lakehouses, implement governance, security, DevOps/CI-CD, and support Power BI and AI initiatives while consulting with stakeholders.

The Senior Data Engineer II will build and optimize data solutions on Axon's Corporate Data Platform, design data pipelines, mentor team members, and uphold data governance and quality standards.

Track and analyze local commercial real estate, maintain and report data in Curve Analytics, compile statistics and visualizations, support client pitches and proposals, build relationships with brokerage and research peers, ensure data accuracy and methodology, and perform additional department duties.

The SAP/S4 HANA Business Analyst will gather and analyze requirements, design solutions, configure systems, test implementations, and provide training for SAP S/4HANA modules while ensuring process improvements and effective communication across teams.

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.