Top Data & Analytics Jobs

The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.

As an Application Support Analyst at Scout Motors, you will provide first-level support to end-users facing application issues, troubleshoot problems, assist with software installation, log and track support incidents, and collaborate with development teams to resolve complex issues, all while ensuring timely support within defined SLAs.

The Scientist will conduct sample preparation and analysis for pharmacology studies, develop biomarkers for neurologic and ocular diseases, communicate results, and contribute to experimental designs and assay development, while ensuring compliance with documentation practices.

The Senior Business Intelligence & Data Analyst will analyze complex datasets to provide actionable insights for business stakeholders. Responsibilities include developing interactive dashboards using BI tools like Tableau, creating comprehensive reports for management, and collaborating with business units to ensure data requirements are met. The role also involves establishing data quality standards and supporting data-driven decision-making processes.

The Senior Data Analyst at Greenlight will analyze complex data sets to derive actionable business insights, support cross-functional analytics needs, and create advanced reporting and BI solutions. This includes dashboard creation, statistical analysis, and communicating findings effectively to stakeholders.

The Senior Research Scientist will architect and build pipelines for training models on driving data, develop and optimize prediction models, and mentor junior engineers while collaborating with perception and motion planning teams.

The GCP Data Engineer will design, develop, and implement data solutions primarily utilizing BigQuery and GCP services, manage data pipelines, oversee data engineering projects, and collaborate with stakeholders to ensure data quality. Experience in SQL, Python, and ETL processes is essential.