Top Hybrid Analytics Jobs

The Senior Analyst will analyze performance metrics and trends to identify business growth opportunities, drive performance marketing initiatives, collaborate with cross-functional teams, and interface with leadership, leveraging technical skills to automate operations and reporting.

As a Staff Data Engineer on the Ads Data Science team, you will create and maintain data pipelines, develop tools for data analysis, and foster a data-driven culture within Reddit by collaborating across teams to enhance data accessibility and quality. Provide mentorship and drive strategies to support data-driven decision-making.

Lead and innovate with machine learning and data science to drive Instawork's products and strategy. Manage a team of ML engineers, spend significant time hands-on with model building, define ML strategies, collaborate with Product teams, mentor data stakeholders, and cultivate a data-driven culture.

As a Data Science Consultant, you will analyze business problems, create actionable data science roadmaps, communicate methodologies to non-technical audiences, and identify appropriate data science solutions while collaborating on end-to-end solutions with digital design and engineering practices.

The Cyber Analyst will deliver incident investigation and response services focusing on digital forensics, including evidence collection, analysis of adversary activity, incident recovery, and reporting. Responsibilities also include negotiating with threat actors and providing incident response training and recommendations to clients.

As a Data Analyst at BRUNT, you will design and maintain data infrastructure, ensure data integrity, create dashboards using Looker Studio, and collaborate with various departments to inform decision-making through data analysis.

As a Data Scientist at Figma, you'll enhance the efficiency of data practitioners by improving data quality, developing tools, and applying statistical methods to enhance analysis. You'll collaborate across teams to identify opportunities and gaps in data, establish governance processes, and mentor colleagues.