Top Remote Data & Analytics Jobs in Los Angeles, CA
As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.
As a Sr. Analyst at CrowdStrike, you will focus on detecting, containing, and remediating cybersecurity incidents across various platforms, performing malware analysis, and providing recommendations based on your findings. You will also engage in incident handling and develop processes to enhance detection and responses to threats.
In this role, the Marketing Data Engineer will architect scalable ETL/ELT pipelines, manage cloud-based data warehouses, and develop data integration solutions. Responsibilities include collaborating with various teams to support analytics, ensure data quality, and optimize performance across data workflows.
The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.
As a Campaign Analyst, you will optimize digital advertising campaigns and ensure operational efficiency by collaborating with multiple teams, creating processes to track campaign outcomes, and developing dashboards for insights. You will leverage data analysis and problem-solving skills to meet client requests and improve data quality across systems.
Featured Jobs
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.
The Senior Analyst is responsible for monitoring unusual banking transactions, using software tools to detect suspicious activity, reaching out to customers for clarification, and documenting findings. This role involves analyzing data patterns, conducting investigations, and adhering to compliance standards.
The People Analytics Manager at Dropbox is responsible for leading the development of HR and Recruiting dashboards, translating complex data insights into user-friendly tools. The role involves overseeing a team, enhancing current dashboard capabilities, ensuring data quality, and collaborating with business teams to meet their needs. Additionally, the manager will mentor team members and advocate for best practices in People Analytics.
The Senior Recruiting Data Visualization Analyst at Dropbox will lead dashboard development in Tableau, collaborate with stakeholders to understand data needs, and improve HR and recruiting metrics through data analysis. The role requires creating intuitive visualizations and analytics capabilities while addressing data quality issues and operational inefficiencies.
The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.
The People Analytics Contractor will assist the HR team by using advanced Excel functions to analyze data and provide insights that enhance talent acquisition processes. Responsibilities include data trend analysis, communicating insights, and collaborating within the team.
The Senior Data Scientist role at Agero focuses on leveraging statistical analyses and predictive modeling to enhance operational performance and customer satisfaction in dispatch services. This involves end-to-end project participation, from data exploration to result communication with various stakeholders.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
.jpeg)
.jpg)
All Filters
No Results
No Results
