Top Remote Analysis Reporting Jobs in San Diego, CA

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Analyze advertising inventory to maximize value, design tests, synthesize data into reports, and identify revenue opportunities in gaming.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

Lead marketing analytics and measurement strategy, build democratized dashboards and audience architecture, translate insights for executives, manage analysts and offshore delivery, align cross-functional teams, steward data ethics, integrate MarTech roadmap, and deliver impact reporting to optimize spend and drive firm growth.

Design and build Microsoft Fabric and Synapse analytics solutions (lakehouses, warehouses, pipelines, notebooks, semantic models). Develop Power BI reports and semantic models with DAX, performance tuning, and RLS. Integrate Dynamics 365/Dataverse data, author SQL/Python/PySpark transformations, manage source control and deployments, run client workshops, and build AI-enabled experiences.

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.

Leads the design, optimization, and governance of scalable data architectures and pipelines. Ensures data quality, integrity, security, and compliance; mentors junior engineers; conducts audits and validation; and collaborates on data governance. The role requires expertise in SQL, Python, dimensional modeling, Snowflake on Azure, Azure Data Factory, Databricks, ETL, and data warehousing, with preferred experience in Airflow, Kafka, healthcare, data lineage, and slowly changing dimensions.