Top Data & Analytics Jobs in Phoenix, AZ

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

Develop, maintain, and optimize SAS programs for data extraction, transformation, analysis, and reporting. Collaborate with analysts and stakeholders to ensure data quality, documentation, and reproducible analytics workflows.

Seeking a MicroStrategy Developer with strong experience integrating MicroStrategy with SAP BW. Must have excellent communication skills. Contract duration of 6+ months supporting BI/reporting work.

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.

Manage Teradata administration and related lifecycle activities: create requirement specifications, develop/configure, validate and deploy solutions, capture and document business processes, coordinate projects, and support consulting engagements that require regular travel.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

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.

Build and maintain operational forecasts for volume and resourcing, produce budget estimates, analyze large datasets, generate actionable insights and dashboards, partner with stakeholders and data teams, present findings to non-technical leaders, own insights for a major business unit, and support strategic workforce planning and related projects.