Top Analysis Reporting Jobs in San Diego, CA

The Data Scientist role involves analyzing payment and subscription experiences, applying data science methods, and collaborating with cross-functional teams to improve player experiences and business decisions.

Design, build, and scale cloud lakehouse data products (Databricks/Snowflake) from ingestion to analytics-ready datasets using medallion architecture. Develop reusable Python frameworks, Spark pipelines, and dbt/SQL transformations. Implement data modeling, governance, observability, validation, and SLA monitoring. Troubleshoot production issues, adopt AI to accelerate engineering, and provide technical leadership, code reviews, architecture decisions, and mentoring for global engineering teams.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

This role requires entry-level talent in SQL and database technologies, providing training in MS SQL, BI tools, and data warehousing methodologies. Candidates will learn and eventually be placed in related positions after training.

Design and build a modern, scalable data platform (warehouse, lakehouse, or hybrid) to support analytics, data science, and near-real-time processing. Lead platform architecture, CDC-based ingestion, ETL/ELT pipelines, data quality/observability, and governance. Partner cross-functionally, provide technical leadership and mentorship, and modernize legacy data processes for low-latency enterprise reporting and ML workloads.

Support data engineering and statistical analysis for readiness and decision support. Build ETL/ELT pipelines in Databricks/Spark, prepare analysis-ready datasets, apply statistical and ML methods, create Power BI dashboards, assist with NLP/LLM tasks, and document data products while supporting senior analysts and operational reporting.

Optimize the insurance platform through partner performance management, data analytics, dashboards, integrations, and process improvements. Liaise with BGAs, carriers, and internal teams to improve advisor experience, placement rates, and operational efficiency while supporting technology rollouts, marketing coordination, and strategic platform expansion.

The role involves architecting data solutions in Azure's Big Data environment, focusing on integration and understanding of Big Data technologies.

Seeking a Systems Analyst with 7+ years of experience in Oracle EBS Finance modules, specifically in AP, AR, GL, and Cost Management. Strong skills in procurement, communication, and teamwork are required.

Seeking a Senior ETL/Informatica Developer with 5+ years of experience in production support and BI applications development, specifically Financials and HR Analytics. Knowledge of Data Warehousing and data modeling is essential. Cognos experience is a plus.