Top Remote Data & Analytics Jobs

The Product Growth Analyst will analyze data to find growth opportunities for Fetch Play, ideate new features, and conduct experiments to improve revenue and user engagement. This role collaborates with product, engineering, and marketing teams to develop and refine promotional strategies, optimize existing features, and manage the execution of experiments to enhance platform performance.

The Data Tech Lead is responsible for designing, developing, and delivering data solutions using AWS core services. Key responsibilities include managing data platforms, implementing data management strategies, ensuring system performance and quality, and collaborating with cross-functional teams to translate business needs into technical solutions.

The Accounts Payable Analyst processes and codes invoices and expense reports, manages vendor relationships, and monitors compliance and accounting operations. They are responsible for improving processes within the accounts payable function and gaining insights into the company's financial impact as it scales.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

The Associate Paid Search Analyst will collaborate with category managers and stakeholders to define goals and strategies for advertising campaigns. Responsibilities include conducting keyword research, managing campaigns, implementing optimizations, analyzing performance, and communicating results to teams. The role requires expertise in PPC and best practices to enhance campaign effectiveness and achieve client goals.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.