Top Remote Data & Analytics Jobs

The Senior Data Analyst will lead data analytics and data science projects for clients, manage client relationships, and mentor new team members. Responsibilities include conducting ad-hoc and deep data analyses, data visualization, and ETL development, while exploring emerging technologies and best practices in data analytics.

The Data Analyst I will integrate and analyze data across platforms to inform recruitment strategies, develop analytical models for enhanced data accessibility, create staffing models for resource allocation, and build dashboards for reporting critical activities. Responsibilities also include performing studies and assessments using various quantitative and qualitative analytical techniques.

The Senior Data Analyst will work closely with stakeholders across departments to leverage data for informed decision-making. Responsibilities include data collection and manipulation, utilizing various tools, and enhancing data-driven insights to elevate organizational effectiveness.

The RevOps Data Analyst will analyze key metrics across marketing, sales, and customer success, provide insights for decision-making, and create self-service tools for data accessibility. This role involves connecting data points to support a unified go-to-market strategy and drive business growth.

The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.

The Global Data Analyst supports Purchase To Pay business processes within SAP by implementing master data governance strategies, conducting data quality assessments, and ensuring compliance with governance policies. They also lead projects in collaboration with IT and other stakeholders, providing user education and supporting data management efforts.