Top Analytics Jobs in San Diego, CA
As a Data Visualization Developer, you will design and develop data visualizations that enhance user engagement and communicate key insights. You will collaborate with engineering, data, and product design teams to create compelling visual narratives, optimize visualization tools, and ensure performance across platforms.
The Senior Commission Analyst will support the Finance team by ensuring the accurate calculation, analysis, and reporting of sales commissions. Responsibilities include developing compensation plans, analyzing metrics, building compensation models, and enhancing process efficiencies. Collaboration with Sales, Finance, HR, and Operations is essential to ensure alignment and compliance with compensation strategies.
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.
The Principal Security Analyst oversees the Information Security Program at WelbeHealth, focusing on Azure Cloud Infrastructure and DevOps. Responsibilities include security assessments, implementing security controls, and collaborating with engineering teams to address detected risks and ensure compliance with regulations.
The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.
The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.
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The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.
The Manager of Data & Analytics will supervise a team, manage data infrastructure, develop data models, and ensure data governance. Responsibilities include partnering with stakeholders for strategic data reporting and supporting data-driven initiatives. They will also coach junior team members and ensure compliance with global data regulations.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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