forecasting jobs in San Diego

Data Analyst role focused on supply chain performance and insights at a global medical device company. The analyst will build dashboards and reporting solutions using Tableau/Power BI, query large datasets with SQL, and develop self-service and AI-enabled analytics capabilities to support distribution, logistics, and supply chain stakeholders across multiple regions.…See more The role requires 3+ years of analytics experience, strong Excel and SQL skills, demonstrated AI literacy, and the ability to translate business questions into actionable insights. Candidates should be comfortable supporting global teams across time zones and identifying operational trends that drive decision-making.

The Cloud Optimization Engineer – FinOps will manage hybrid cloud spend across private and public cloud environments, using Flexera to monitor costs and deliver monthly reporting and dashboards to stakeholders. The role involves analyzing cloud architectures and workload patterns to identify cost drivers, building and automating data pipelines and cost models, and implementing cost optimization actions such as rightsizing and reservations.…See more You will collaborate hands-on with engineering teams, develop forecasting models, enforce tagging and governance standards, and drive FinOps best practices across the organization. The position requires 5+ years of FinOps and cloud financial management experience, proficiency in Azure or GCP, and advanced skills in Excel, SQL, Python, and PowerShell.

The Business Systems & Data Analyst supports financial planning, reporting, and business intelligence across NetSuite and related platforms. Responsibilities include building dashboards and reports, validating data accuracy, gathering requirements from business stakeholders, and supporting system testing and process improvements.…See more The role requires strong analytical skills, attention to detail, and the ability to translate business needs into reporting solutions while coordinating with cross-functional teams.

Build applied AI systems for Crucible, Firestorm's manufacturing operations software. You'll productionize ML and optimization models, integrate foundation models and LLMs into workflows, and design end-to-end AI capabilities—from model selection and evaluation through reliable production deployment across cloud, air-gapped, and edge environments.…See more This is a hands-on engineering role requiring 5+ years shipping production ML/AI systems, strong Python and software engineering fundamentals, and deep experience with LLMs, transformer models, and production ML monitoring.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Senior System Analyst responsible for designing and supporting Kinaxis Maestro/RapidResponse supply chain planning solutions at Qualcomm. The role involves creating functional and technical specifications, delivering integrated workbook solutions with data modeling and Java-based scripting, troubleshooting system issues, and collaborating with developers and global teams.…See more Candidates need deep expertise in demand/supply planning processes, Kinaxis platform capabilities (analytics, capacity constraints, composite workbooks), and experience with ERP/MRP systems, along with proficiency in Java, JavaScript, and Oracle.

The Senior BI Developer & Commercial Analyst owns and modernizes the Commercial Insights & Analytics team's Power BI environment, including semantic models, DAX, Power Query, and reporting infrastructure. The role involves migrating legacy Qlik dashboards and Excel reports to Power BI, rebuilding the commercial data layer in Databricks, and delivering ad hoc analysis, forecasting, and market insights for strategic commercial initiatives.…See more Strong technical skills in Power BI, SQL, Databricks, and DAX are required, along with the ability to translate business needs into reliable, fast, and accurate reporting solutions. The position demands comfort with ambiguity, accountability, and the ability to move quickly without sacrificing data integrity.

Senior BI Developer & Commercial Analyst role centered on owning and modernizing the Commercial Insights & Analytics Power BI environment, including semantic models, DAX, and Power Query. The role involves migrating legacy Qlik dashboards to Power BI, rebuilding the commercial data layer in Databricks, and delivering ad hoc analysis and forecasting for strategic initiatives.…See more Requires 3–5 years of BI/commercial analytics experience, strong Power BI and SQL expertise, hands-on Databricks work, and comfort with AI-enabled workflows and automation.

Senior System Analyst supporting Qualcomm's IT supply chain planning operations, primarily delivering and maintaining Kinaxis Maestro/RapidResponse solutions. Responsibilities include workbook authoring, data modeling, Java-based scripting, system troubleshooting, solution testing, and end-user support for demand and supply planning analytics.…See more The role requires deep knowledge of supply chain processes (S&OP, forecasting, capacity planning, inventory optimization) and collaboration with software developers and global business teams to implement custom functionality and operational support.

Join Sony Interactive Entertainment's D2C Data Science team to support PlayStation's payment and subscription experiences through statistical analysis, A/B testing, and machine learning. You will own analyses of payment success, subscription recovery, and payment flow optimization, building models for forecasting, segmentation, and propensity while translating complex data into actionable recommendations for product and engineering teams.…See more The role requires strong SQL and Python skills, solid statistics and experimental design knowledge, and the ability to work independently on well-scoped analyses while communicating findings clearly to both technical and non-technical stakeholders.

Director-level product management role responsible for defining strategy, roadmap, and business planning for an integrated clinical solution spanning instrumentation, software, and assay content. The leader will manage a team of product managers while directly owning strategic initiatives, translating customer insights and market dynamics into product requirements, and driving cross-functional alignment across R&D, platforms, assay development, software, regulatory, and operations.…See more Success requires systems thinking, customer orientation, and the ability to guide tradeoff decisions for a complex multi-component offering in a matrixed environment.

This Senior BI Analyst role in Finance focuses on building and maintaining business intelligence dashboards, financial reporting systems, and analytics for a medical device company's finance organization. The analyst will consolidate commercial expenses, develop FP&A deliverables using Power BI and other BI tools, manage revenue analytics reporting, and identify automation opportunities across finance processes.…See more The role requires strong Excel and Power BI skills, Oracle ERP and Hyperion/SmartView expertise, knowledge of US GAAP, and familiarity with AI-enabled tools like Microsoft Copilot to streamline finance workflows.

Senior individual contributor responsible for end-to-end demand forecasting across Intuit's Global Business Solutions Group portfolio. Build and maintain predictive models incorporating time-series analysis, regression, causal inference, and ML techniques to translate business signals into accurate, decision-ready demand forecasts at multiple granularities.…See more Conduct A/B/n experiments to validate modeling choices, quantify forecast risk through scenario analysis, and act as trusted partner between technical teams and business stakeholders (Workforce Management, Capacity Planning, Finance, Marketing, Product) to ensure forecasts drive downstream capacity and expense planning. Continuously advance forecasting methodology, evaluate where AI/ML meaningfully improves accuracy, and support real-time in-season re-forecasting and analytics.