Top Analysis Reporting Jobs in San Diego, CA

Supports gas compressor engineering and operations through portfolio data governance, financial and resource analysis, forecasting, dashboards, reporting, and decision support. Maintains Planview data, develops Power BI and related analytical tools, improves processes through automation and AI-enabled solutions, and communicates actionable insights to engineering, finance, operations, and leadership stakeholders.

Aggregates enterprise data, builds advanced financial models, and delivers analytics, dashboards, reports, and executive insights supporting growth initiatives. Develops conversational and workflow agents using Claude, Microsoft Copilot Studio, Snowflake, and Salesforce; automates reporting and data distribution; and partners with stakeholders to define requirements. The role leads analytical projects from ideation through executive presentation and supports forecasting, advisor economics, growth ROI, and operational efficiency initiatives.

Lead a team of data engineers responsible for building and operating reliable, scalable data pipelines and platform components. Own delivery, production operations, engineering standards, cost and performance optimization, technical debt, and regulatory compliance. Partner with product and data modeling leaders to deliver a governed data platform. Hire, coach, and develop engineers while ensuring strong practices in testing, monitoring, incident response, CI/CD, documentation, and secure infrastructure management.

Develops and maintains Power BI dashboards, semantic models, ETL processes, APIs, and SQL Server data solutions. Integrates data from databases, files, APIs, and enterprise systems; performs data transformation, validation, optimization, troubleshooting, and production support. Participates in DevOps, CI/CD, testing, documentation, and release management while translating stakeholder needs into scalable technical solutions.

Leads customer data architecture for Salesforce Data 360 and Marketing Cloud programs. Defines ingestion, data models, identity resolution, household and vehicle relationships, audience eligibility, consent, data quality, activation, governance, and measurement foundations. Partners with client data, privacy, security, marketing, and Salesforce teams while coordinating third-party data providers and maintaining technical documentation.

Supports enterprise automation initiatives by collecting, cleaning, and analyzing datasets; reviewing reports for accuracy; identifying anomalies, trends, and process improvements; collaborating with Operations, Compliance, Marketing, and Finance teams; exploring development tools; and assisting with reporting, modeling, and analysis solutions during a 12-week internship.

Analyze operational and software data to support decisions, define success metrics, identify efficiency opportunities, and propose experiments. Build data models, dashboards, reports, and visualizations; analyze large cloud-based datasets; modify queries; conduct A/B testing and web analytics; and communicate insights and recommendations to global operational stakeholders.

Leads the design and lifecycle management of Oncology R&D data products, including data modeling, architecture, ETL/ELT pipelines, data integration, quality controls, governance, and AI-ready datasets. Partners with scientific, clinical, data science, and IT stakeholders to translate requirements into scalable solutions across clinical, preclinical, real-world, genomic, and omics data. Supports advanced analytics, ML, and GenAI use cases while ensuring interoperability, reliability, compliance, and operational performance.

Design, build, and maintain scalable data platforms and ETL/ELT pipelines using Databricks/Spark and AWS. Develop backend data services in C#/.NET, ensure data quality and performance, leverage AI-assisted coding tools, collaborate with cross-functional teams, lead technical design decisions, and mentor engineers.

Leads advanced business analytics across Commercial, Finance, and Operations. Builds scalable solutions using SQL, Python, Snowflake, Tableau, and Power BI; performs forecasting, statistical analysis, segmentation, predictive modeling, and exploratory analysis. Develops semantic models, KPI frameworks, data governance practices, and reusable datasets while improving data quality and pipelines. Partners with leadership and technical teams to translate complex data into actionable insights, automate decision support, and influence strategic business outcomes.