Top Entry Level Analytics Jobs in San Diego, CA

Brown University Athletics is seeking candidates for multiple Athletics Statistician positions. The role involves keeping live statistics at athletic events, submitting stat packages to NCAA and Conference offices, and working alongside various staff members during events. Candidates must have knowledge of stat crew and genius stat systems, work quickly and accurately under pressure, and have a comprehensive understanding of sports rules and regulations.

The InfoSec Client Solutions Analyst will support and enhance Intel® Federal's secure IT solutions, working within an Agile team to deploy client systems, monitor security threats, and ensure compliance with regulations. This includes managing client systems, participating in operations, and proposing improvements.

Create and maintain accurate demand plans by month by style/color/size for a specific brand and/or category. Derive style/color/size level demand plans, lead presentations, and handle standard reporting and administrative duties. Bachelor's degree in Business Management or related field required.

The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.

The Environmental Data Manager will manage environmental investigation-derived data, performing ETL operations, ensuring data compliance, maintaining regulatory screening criteria, and supporting project managers and analysts through data management activities, including the development of T-SQL queries and data presentation.

As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.