Top Remote Senior Level Data & Analytics Jobs in Seattle, WA

Seeking an Analyst to join the Worldwide Sales and Operations Organization to drive the success of the Business Value Program. Responsibilities include articulating business value proposition, maintaining program assets, supporting field enablement, and fostering cross-functional relationships. Requires 5 years of enterprise sales and operations experience, mastery of financial metrics, understanding of sales methodologies, and advanced Excel and PowerPoint skills.

Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, ensure high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Remote work with a distributed team in the USA and Canada.

The Senior Sales Compensation Analyst at Carrot oversees and executes the commission process, owns the compensation tool, calculates and processes commission payments, prepares reports on sales performance, and evaluates commission plans to optimize sales behaviors.

Cloudflare is seeking a Sr. Analyst Relations Manager to scale their AR program, drive strategic programs with the industry analyst community, and collaborate with various teams to enhance market position and communication strategies. The role requires 5-7+ years of experience in high-tech analyst relations, public relations, or communications.

Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, building processes to root out high-risk activity, and preventing fraud. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and partnering with cross-functional teams to develop solutions. Qualifications include a degree in a quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, and Looker, strong statistics knowledge, and experience with machine learning model development.

Build and lead a team of data scientists to partner with marketing, sales, and product teams to optimize marketing strategies, grow revenue, and launch high-impact initiatives. Develop predictive models, automate reporting, analyze marketing performance, and drive data-informed decision-making for a SaaS company.

Develop data infrastructure for data scientists and ensure efficient development of care gap and HCP prioritization models. Partner with product manager and data lead to develop technical architectures for analytical models. Enhance data infrastructure for greater scalability and optimize data delivery.