Top Remote Senior Level Analytics Jobs in Los Angeles, CA

Join Endpoint as a Senior Data Insights Analyst to draw insights from data, provide strategic recommendations, develop analytical frameworks, and collaborate with stakeholders. Utilize SQL, Python, and R to drive business decisions and contribute to the growth of the company.

As a Senior Web Data Scientist at Square, you will optimize growth on Square's web surfaces through data analysis and actionable recommendations. Collaborate with Marketing and Engineering teams to drive web strategy goals and site optimizations. Partner with technical experts to ensure data accuracy and identify optimization opportunities. Deliver regular reports on web performance with actionable insights for improvement.

Manager, Software Engineering role at ServiceNow with a focus on leading the Data Access team, managing engineers, collaborating on development activities, contributing to projects, and delivering high-quality solutions.

Seeking an E-Commerce Business Analyst with 5-7 years of experience in e-commerce or retail analytics. Responsibilities include supporting strategic initiatives for business growth through data insights and driving revenue and profit growth in e-commerce.

Seeking a Competitive Intelligence Analyst for the NG-SIEM team at CrowdStrike to provide strategic support to product and sales teams. Responsibilities include analyzing competition, guiding product roadmap decisions, and collaborating with internal stakeholders.

Senior Analyst, Pricing Analytics role at GoodRx focusing on developing new business strategies and reporting using data and insights to drive optimal decision-making. Responsibilities include serving as an analytical liaison, monitoring competitive pricing, building analytical frameworks, and developing dashboards. Required qualifications include 5+ years of analytical experience, proficiency in SQL, Excel, PowerPoint, and data visualization skills.

The Sr. SQL Data DBA at NBC Sports Next is responsible for designing, developing, implementing, reviewing, and monitoring on-premises and cloud database environments. They collaborate with Software Development, Data Engineering, and QA teams to ensure efficient operations and provide best practices guidance. Responsibilities include server maintenance, ensuring high availability, implementing monitoring solutions, and ensuring security best practices.