Top Remote Data & Analytics Jobs

As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.

As an Analytics Engineer, you will transform raw data into reliable insights, build data models, and conduct analysis to support product and business decisions.

The Data Lead - DDS Americas will oversee data management, conversion, and quality across North America, leading a team in data strategy, cleansing, and integration for ERP systems.

The Senior Data Architect will shape Autodesk's data architecture vision, define enterprise data domains, and ensure data strategies support AI/ML and business goals through strong governance and hands-on technical involvement.

The Senior Client Data & Analytics Lead guides clients in developing data capabilities, coaching their teams, and translating needs for product delivery. This role combines data leadership with client interaction and strategic planning.

The Senior Data Analyst will analyze data to provide actionable insights across various teams, create dashboards, and ensure high-quality data availability.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.

The Data Engineer is responsible for building ELT pipelines, migrating data to a new EDW, developing data observability processes, and collaborating with teams to ensure data requirements are met while improving data accessibility.

The Pricing Manager will lead a team to implement modelling and rating changes, enhance pricing capabilities, and support business growth through data analysis and predictive modelling.

The Data Engineer designs and manages data pipelines for lead generation, collaborates with Sales, analyzes metrics, and ensures data quality and integrity.