Top Remote Data & Analytics Jobs

The Data Analyst will deliver automated reporting, analyze complex data sets, support client output formats, and enhance data governance processes.

The Data Engineering Manager will lead the design and implementation of data ingestion frameworks, ensuring data quality and integration with governance tools. Responsibilities include mentoring staff, defining data contracts, and establishing best practices in data engineering.

The Senior Strategist will build client relationships, design and oversee qualitative research projects, and lead innovative brand strategies for NIQ, focusing on FMCG and consumer insights.

The Data Privacy Compliance Analyst will support the development and implementation of data privacy programs, assist privacy operations, and ensure compliance with global privacy laws.

Lead marketing analytics to measure and optimize full-funnel performance. Build dashboards, analyze paid media and web funnels, assess lead quality and conversion, advise on budget allocation, support executive reporting, and improve analytics infrastructure across Marketing, Finance, and RevOps.

Lead and oversee clinical data management across therapeutic areas, supervise and mentor data managers, ensure database design, validation, and archival meet SOPs and regulations, coordinate with clinical teams and CROs, and drive data quality, outsourcing strategy, and documentation.

The role involves supporting sales and services initiatives through data analysis, relationship management, and cross-functional collaboration to inform strategies and optimize processes.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

As a Fraud Risk Associate, you'll develop and optimize fraud strategies using data, collaborate with teams, and innovate risk policies.