data-analysis jobs in San Diego

As a Systems Engineering intern, you will support hardware and software integration, develop test plans and procedures, debug system functions and interfaces, and verify requirements throughout the product lifecycle. You will conduct functional analysis on real-world and test data, perform troubleshooting and failure analysis, support system integration and test efforts, and compile performance evaluations using analysis tools like MATLAB.…See more The role requires experience with data analysis tools (Microsoft Office, Python, MATLAB, C++), troubleshooting technical issues, and common commercial test equipment (oscilloscopes, spectrum analyzers).

As a Systems Engineer II at Raytheon, you will integrate hardware and software systems, develop test plans and procedures, debug system functions and interfaces, and verify requirements through lab and field testing. You will support the full product lifecycle from development through deployment, collaborating with multi-disciplinary engineering teams on integration, test, and troubleshooting activities.…See more The role involves functional analysis of test data, root cause analysis, system qualification, and preparation of performance evaluations using tools like MATLAB. A Master's degree in STEM is required, along with hands-on experience troubleshooting technical issues and familiarity with test equipment; C/C++/C#, Python, and data analysis skills are preferred.

As a Systems Engineer I, you will integrate hardware and software components, develop and execute test plans, debug system interfaces, and verify requirements throughout the product lifecycle. You'll support engineering activities including testing, troubleshooting, functional analysis, root-cause investigation, and system integration across lab and field environments.…See more The role requires hands-on use of test equipment (oscilloscopes, spectrum analyzers), analysis tools like MATLAB, and collaboration with multi-disciplinary teams to ensure products meet specifications before customer delivery.

Design and engineer novel enzymes using AI/ML and computational biology approaches. Apply protein language models, generative design methods, and structure-based machine learning to predict and optimize enzyme function.…See more Develop bioinformatics pipelines, analyze high-throughput screening and sequencing data, and create reusable tools and dashboards for cross-functional protein engineering teams. Requires 5+ years of related experience (or equivalent with advanced degree) and practical expertise in AI/ML applied to protein engineering.

Lead a high-performing Customer Experience team driving TurboTax's omni-channel assisted services across retail, virtual, and hybrid channels. Own strategy and execution for customer success initiatives, partnering with Product, Marketing, and Analytics to optimize customer journeys, drive conversion and retention, and build internal capability in design thinking and continuous improvement.…See more Analyze customer behavior data, design and validate experiments (A/B testing), and translate Voice of the Customer insights into product and business strategy. Coach managers and individual contributors while representing CX on cross-functional leadership teams and managing complex organizational change.

Hardware engineering intern working on defense electronics projects at BAE Systems, gaining hands-on experience with RF and test equipment alongside mechanical and electrical engineering teams. The role involves analyzing data, reviewing schematics, and supporting senior engineers on impactful hardware development initiatives.…See more Requires an Electrical Engineering major transitioning into junior or senior year; preferred experience with test instrumentation such as phase noise analyzers, spectrum analyzers, RF signal generators, oscilloscopes, and power meters.

Senior Software Test & Automation Engineer responsible for designing and maintaining automated testing frameworks for autonomous software systems across simulation, SIL, HIL, and VIL environments. Will develop Python-based automation tools, test harnesses, and CI/CD integration to validate complex autonomous platforms.…See more Requires 4+ years of test automation and verification experience, strong Python skills, Linux proficiency, and hands-on experience with hardware-integrated testing environments.

As a Systems Engineer I at an aerospace and defense company, you will support systems engineering activities across complex aerospace systems, including requirements development, system design analysis, architecture definition, and performance evaluation. You will collaborate with cross-functional teams (software, firmware, electrical, mechanical, network engineers) to translate customer needs into technical solutions while managing technical, schedule, and cost constraints.…See more The role involves system problem resolution, data analysis, design requirements development, and troubleshooting of software-defined and multifunction mission systems. You will need a bachelor's degree in engineering, 1+ year of systems engineering or related engineering experience, and foundational knowledge of requirements development, traceability, integration, verification, and validation processes.

Senior AIS Analyst role overseeing Navy logistics IT systems, conducting functional analysis, operational research, and audits to support fleet readiness and supply operations. Responsibilities include testing and reviewing logistics applications (NTCSS, NOBLE, Navy ERP, etc.), system administration, user access management, troubleshooting Tier 2 support issues, and supporting data science initiatives involving machine learning and statistical modeling.…See more The role requires managing subordinate AIS analysts, coordinating cross-functional requirements generation and business process reengineering, and ensuring database accuracy and compliance with cybersecurity standards.

Sr QA Engineer leading complex quality investigations, root cause analysis, CAPAs, and NCMRs at a regulated medical device company (Dexcom). Drives Quality Management System excellence through continuous improvement methodologies (Six Sigma, Lean, process capability analysis), owns validation and qualification strategies for equipment/processes/software, and guides design transfer and commercialization from development to high-volume manufacturing.…See more Requires advanced quality engineering knowledge, hands-on technical aptitude, proficiency with data analysis tools (JMP, Excel), and cross-functional leadership across R&D, Regulatory, Manufacturing, and Engineering teams.

This Business Systems Analyst role supports the Residential, Retail and Supply Chain Services (RRSS) department at UC San Diego, working with point-of-sale, logistics, inventory management, and procure-to-pay systems. The analyst will gather business and functional requirements, develop test plans, facilitate stakeholder meetings, and provide implementation support for new and existing applications.…See more Responsibilities include analyzing business processes, documenting workflows, identifying improvement opportunities, and leading projects of limited to moderate scope. A bachelor's degree in Data Analytics, Computer Science, Business Administration, Statistics, or allied field plus two years of experience is required.

This role focuses on designing, implementing, and executing thermal control system tests for Apple consumer products using Python-based automation frameworks. The engineer will analyze test failures, isolate defects, execute both automated and manual tests, maintain the existing automation framework, and develop new test cases.…See more The position requires hands-on lab work including thermocouple installation, test execution in environmental chambers, and collaboration with cross-functional teams to validate hardware/software behavior.

This Business Systems Analyst role supports the Residential, Retail and Supply Chain Services (RRSS) team at UC San Diego, working with business and technical stakeholders to develop business and functional requirements, test plans, and implementation support for systems including point-of-sale, logistics, inventory management, and procure-to-pay solutions. The analyst will facilitate requirements-gathering meetings, document processes, identify improvement opportunities, and conduct data-driven analyses to optimize business processes across one or more RRSS business units.…See more The role may lead projects of limited to moderate scope and applies business process analysis concepts to resolve operational issues.

This Business Systems Analyst role supports the Residential, Retail and Supply Chain Services (RRSS) department at UC San Diego, managing technology program initiatives across point-of-sale, logistics, inventory management, and procure-to-pay systems. The analyst will gather business and functional requirements, develop test plans, provide implementation support, and facilitate meetings with stakeholders to optimize business processes.…See more The role involves conducting process analyses, documenting workflows, identifying improvement opportunities, and may lead projects of limited to moderate scope. A bachelor's degree in Data Analytics, Computer Science, Business Administration, Statistics, or related field plus two years of relevant experience is required.

Join Amazon Private Brands' Selection Guidance team as a Data Scientist II to develop generative AI, machine learning, and statistical solutions for product assortment and business decisions. You will investigate business problems, invent novel solutions and prototypes, and guide other scientists on their designs and implementations.…See more Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You'll partner with business stakeholders, perform data analysis and build pipelines, deploy production software, and publish research across Amazon.

As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.…See more The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.

Support large-scale 4G LTE and 5G NR modem validation and software integration by monitoring wireless test infrastructure, performing technical triage and failure analysis, and developing Python-based automation tools and AI-enabled workflows. Analyze logs, crash dumps, and test results to identify issues; develop and execute integration test strategies for functional and system-level validation of MPSS images across platform bring-ups and feature releases.…See more Collaborate with cross-functional teams to improve platform reliability, generate operational metrics, and support on-time delivery of modem release milestones.

Own end-to-end reconciliation of inventory moving through Amazon FBA, analyzing ledger data across receipts, returns, removals, and adjustments to identify discrepancies and drive reimbursement claims. Use SQL to join shipment and ledger tables, manage exception queues for shortages and damages, and build executive dashboards showing dollars at risk and recovery opportunities.…See more Partner with Warehouse, Operations, Engineering, and Accounting teams to pinpoint root causes, implement stronger controls, and turn variance analysis into filed claims and recovered dollars. This is a hands-on ownership role requiring 3+ years of FBA reconciliation experience, forensic attention to detail, and strong SQL and Excel skills.

Qualcomm seeks a Staff Product Data Manager for AI Platforms & Systems Solutions to define product strategy and drive cross-functional decision-making for edge AI/ML platforms, inference runtimes, and agentic frameworks. The role requires deep technical expertise in Windows-ecosystem AI platforms, LLM/VLM models (1B–150B range), edge AI APIs/SDKs, and AI middleware frameworks, combined with the ability to work independently, influence senior leadership, and manage complex multi-year initiatives across matrixed organizations.…See more Responsibilities include assessing feasibility, translating innovation into shippable solutions, negotiating partnerships, and authoring technical specifications—all with minimal supervision and significant organizational impact. The ideal candidate brings 10+ years in product management or technical roles, experience shipping AI platforms, familiarity with standards bodies, and strong communication skills to convey complex information to diverse audiences.

Lead pharmaceutical forecasting engagements for life sciences consulting clients, developing and managing forecasting models for inline and pipeline assets across multiple therapy areas. Translate complex pharmaceutical datasets (LAAD, DDD, XPO) and analytical findings into actionable business strategies and recommendations.…See more Identify risks and opportunities impacting forecasts and collaborate with cross-functional teams on assumptions, scenarios, and methodologies. Requires 5–7 years of hands-on pharma forecasting experience, strong Excel modeling skills, and ability to communicate insights to senior stakeholders.

The Data Analyst will create reports, visualizations, dashboards, and metrics to support business decision-making across multiple internal teams and business units. Responsibilities include developing business intelligence solutions, gathering and analyzing data, building PowerBI dashboards, using SQL and Python for quantitative analysis, and collaborating with stakeholders to identify trends and deliver actionable insights.…See more The role requires detail-oriented work spanning finance, accounting, and budgeting domains, with experience in regulated utility, energy, DOE, or DOD environments preferred. A master's degree in data analytics, data science, or equivalent field is required.

Senior Software Test and Automation Engineer responsible for designing and developing automated test infrastructure, validation tooling, and CI/CD integration for autonomy software systems. The role involves building Python-based test frameworks, regression and integration test suites, and performance analysis tools across simulation, SIL, HIL, and hardware environments.…See more Requires 4–7 years of experience in software test automation for robotics, autonomy, or aerospace systems, with strong proficiency in Python, Linux, and CI/CD practices. The engineer will collaborate with autonomy, systems engineering, and flight test teams to define validation strategies and provide objective software quality metrics.

As a Sr Staff Technical Program Manager for Intuit's Tech Strategic Programs team, you will design AI-native planning mechanisms and operating models to align 8,000+ engineering staff around strategy, goals, and resource allocation. You will partner with business operations, finance, and C-suite leadership to build planning processes, frameworks, and decision-making artifacts that integrate annual planning across the tech ecosystem.…See more You will drive adoption of new planning tools and processes through change management, best practices, templates, and guidance, while providing insights and accountability on execution. The role requires proven ability to translate ambiguous strategy into clear program plans, influence senior executives without authority, and apply systems thinking to complex, cross-functional organizational challenges.

The Jr. Commercial QC & AI Automation Analyst executes first-line quality control reviews for Commercial Lending programs while building hands-on skills with AI-assisted and automated review tooling.…See more The role involves testing and validating automated workflows built in Claude, Claude Skills, Claude Code, and n8n; translating manual review checklists into structured review logic; and documenting processes and automation outcomes. The candidate will support business process analysis, help design AI-augmented workflows, and grow into greater automation ownership as skills develop. Requires a Bachelor's degree, 0–2+ years in QA/audit/operations/business analysis, strong analytical and documentation skills, comfort with GenAI tools, and preferably exposure to scripting, programming, or low-code automation platforms.

Associate Operations/Systems Analyst will assist in analyzing DoD program performance and system trends using modeling and simulation tools. The role involves data collection, system-of-systems modeling using MBSE tools, post-processing data analysis, and preparing technical deliverables and briefings.…See more Candidates should have a BS in Math, Engineering, Physical Science, Operations Research, Data Science, or related field with hands-on experience in M&S tools from academia, industry, government, or military service.