Top Data & Analytics Jobs in San Luis Obispo, CA
The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.
The Merchant Payment Processing Analyst will ensure efficient merchant payment processing by monitoring systems, analyzing payment data, resolving issues, and optimizing processing systems while collaborating with technical teams. In-depth analysis of network costs and payment fees is required, with the use of SQL and Python for data analysis and reporting.
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The Senior Analyst, Pricing & Product is responsible for conducting competitive analysis, researching market pricing, establishing metrics for new product lines, and monitoring market competitiveness to ensure profitability. This role involves collaborating with various teams, utilizing data analytics, and supporting ongoing commercial auto product development processes.
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The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.
The Performance Analyst will analyze data, develop KPIs, and provide actionable insights to improve business performance. Responsibilities include writing SQL queries for data extraction, creating performance reports and dashboards, and collaborating with stakeholders for data needs.
The Senior Commercial Analyst will drive performance management for the Amazon Sales Team by delivering data-driven insights, managing projections, conducting market analysis, and reporting on key metrics to inform strategic decisions. This role involves designing dashboards, supporting sales strategies, and collaborating with various teams to enhance overall sales performance.
The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
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