Top Data & Analytics Jobs

The Senior Analyst, Analytics manages business relationships, defines data solutions, analyzes datasets, communicates insights, and leads cross-functional projects to drive business outcomes using analytics and data solutions.

Join the Biostatistics team to develop and maintain data cleaning and processing pipelines, manage databases, build modular code in R/Python/SQL, work on HPC clusters, containerize pipelines, support metadata cataloging, and collaborate on environmental health research projects.

Develop and maintain dashboards, reports, and visualizations; analyze business processes and performance metrics; gather stakeholder requirements; support data pipelines and ETL/ELT; validate data quality; contribute to cloud-based analytics modernization; document methods and present findings to technical and non-technical audiences.

The role involves developing and maintaining Salesforce Marketing Cloud, managing campaigns, automations, and ensuring integration with web analytics.

The SQL BI Developer is responsible for designing and implementing customer solutions using SQL, Excel, Power BI, and similar technologies, focusing on data mining, analysis, and report development.

The SAP Technical Archiving Specialist will handle data archiving, implement functional and technical objects, and configure archive settings within SAP.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

Lead the architecture and implementation of a new People Analytics platform on a modern data stack, ensuring AI readiness, governance, and security while optimizing for performance.

The Business Intelligence Analyst will analyze data, create reports, build queries, and provide insights to improve business operations.

The Fraud & Risk Lead will manage end-to-end fraud operations for a global credit card program, focusing on monitoring, analysis, and mitigation of fraud risks. Responsibilities include building fraud detection systems, running investigations, and improving operational processes.

The Data Engineer will optimize data infrastructure, modernize SQL processes, support data governance, and mentor team members while enhancing analytics capabilities.

Design, build, and maintain scalable ELT/ETL data pipelines using dbt and Prefect; optimize Snowflake performance; implement data quality, security, and observability; collaborate with analysts and data scientists; document data flows and ensure reliable ingestion from external sources.