Top Remote Data & Analytics Jobs

As an Analyst in Customer Success Analytics at Grammarly, you will define and monitor key metrics, conduct root cause analysis, leverage data to improve customer success, and collaborate with cross-functional teams to enhance data infrastructure. Your role focuses on maximizing customer value, driving product adoption, and supporting revenue growth initiatives.

The Compliance Analyst will lead internal cybersecurity audits, evaluate IT solutions for compliance, assess control effectiveness, and drive risk management strategies. The role involves simplifying complex technical issues, promoting awareness of compliance requirements, and integrating industry trends into enterprise processes.

The Billing Analyst manages the billing process, ensures the accuracy of invoices and financial transactions, analyzes billing data, monitors payments, follows up on overdue accounts, and resolves discrepancies while providing excellent customer service.

As the Senior Data Analyst for the Customer Experience Platform, you will collaborate with product, engineering, and operational teams to analyze customer behavior, develop data models, and build dashboards. You will utilize SQL to create datasets for reporting needs and proactively identify analytics opportunities to support product development and enhancements.

Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.

The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.

The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.