Top Analysis Reporting Jobs in San Diego, CA
The Sr. Research Scientist will develop and prototype algorithms related to sketching and streaming for Yahoo’s massive data backend systems. Responsibilities include translating theoretical algorithms into prototypes, analyzing algorithm performance, collaborating with product teams, and publishing findings.
The Power BI Data Integration Specialist will design and develop Power BI solutions, integrate real-time data pipelines, and create optimized data models. Responsibilities include advanced query development, deployment and administration of Power BI services, collaboration with stakeholders, performance tuning, and documentation of technical processes. The role requires strong expertise in real-time data processing and data visualization.
The Lead Quality Assurance Analyst will manage and support testing for the DoD Child and Youth Programs project. Responsibilities include designing and maintaining test cases, conducting various testing types, collaborating with teams for sprint preparation, and tracking defects in JIRA. The role requires extensive experience in testing web applications and automation integration.
The Bioinformatics Analyst will perform data analysis and curation related to genomics, proteomics, and multi-omics for federal clients. Responsibilities include analyzing large molecular datasets, managing bioinformatics data integration and visualization, scripting for automation, and assisting with research presentations and maintaining databases.
As a Workday Reporting and Analytics Consultant, you will design and implement reporting solutions using Workday tools, conduct client sessions to analyze business needs, and provide subject matter expertise on best practices. You'll work closely with project teams to ensure effective reporting and maintain your Workday certifications while contributing to continuous improvement initiatives.
The Commercial Contracts Analyst at Cepheid will provide pricing and deal structure support, draft and negotiate various commercial contracts, and collaborate with sales and other departments. Responsibilities include handling moderately complex contracting problems and contributing to various initiatives.
The Insights Analyst, Lead Analyst, Enterprise Data & Analytics is responsible for developing data visualizations and self-service analytics solutions in support of the global EDNA platform. They work closely with stakeholders to understand data rules, business logic, and reporting needs to develop dashboards and self-service analytics layers.
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The Workday Senior HRIS Analyst provides business and technical direction, troubleshoots data integrity issues, develops functional and technical requirements, conducts data analysis, leads projects, and improves processes for HR and BMC.
The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.
The Staff Data Analyst will lead high-impact analytics projects, transforming complex data into actionable strategies. This role involves quantitative analysis, strategic interpretation of data, and mentoring junior analysts to drive informed business decisions.
As an Operations Analyst Manager at Fetch, you will solve complex challenges in the scan-and-match space, manage a team of analysts, and collaborate with software development teams to develop scalable solutions. Success requires strong SQL skills, problem-solving abilities, and effective communication.
As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.
The job involves collecting, processing, and analyzing data to support AI-driven decision-making and product development. Responsibilities include data cleaning, validation, transformation, and extraction from various sources, as well as collaboration with data scientists on machine learning projects.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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