Top Remote Analytics Jobs

The BI Analyst will leverage data to enhance operational efficiency and inform product development, focusing on maintaining Tableau dashboards, optimizing data models, troubleshooting data discrepancies, and communicating insights to stakeholders for strategic decision-making.

The Marketing Data Analyst will build and manage audience segments, analyze campaign performance, and provide insights to optimize marketing strategies. This role involves maintaining CRM data, collaborating with marketing teams, and creating reports on key metrics while focusing on improving marketing effectiveness through data-driven decision-making.

The Data Analyst will oversee machine learning model development, create interactive dashboards, conduct data analysis for insights, and ensure data quality within the MEDCHART system. They will collaborate with stakeholders to meet model requirements and report findings efficiently.

The Senior Analyst, Order to Cash Operations will manage the order-to-cash process, involving tasks like order management, invoicing, collections, and contract review. This role demands collaboration across teams to optimize processes and drive improvements. The analyst will also focus on data analysis, reporting, and the implementation of automation solutions.

The Sr. Principal, Value CoE Data Analytics role involves capturing and analyzing customer data to provide actionable insights for value-driven sales strategies. Responsibilities include managing benchmarking databases, analyzing performance data, and collaborating with product teams to integrate telemetry data into business processes.

As a BI Analyst at Sporty, you’ll analyze large datasets, create dashboards, and deliver insights that inform business decisions and strategies. You'll manage reporting infrastructure, handle ETL processes, and provide ad hoc analysis while ensuring data stability and accuracy for stakeholders.

The Content Analyst will manage and lead diverse content creation projects for students with disabilities, using data to inform decisions, and collaborating on educational materials. They will develop efficient production processes and advocate for user needs through analysis of feedback and user data.