Top Data & Analytics Jobs

As a Senior Data Engineer at Synack, you will maintain and extend the data warehouse, develop ETL pipelines, build event streaming solutions, and support existing production products. You'll collaborate with engineers and product managers to drive actionable insights through innovative data analytics and contribute to data modeling for dashboards.

The Solutions Associate will develop and deliver data-driven insights products for clients. They will collaborate with marketing, sales, and data product teams to provide actionable insights and recommendations.

The Outbound Logistics Analyst at Chervon North America is responsible for enhancing outbound logistics efficiency by analyzing data, liaising with transportation and warehouse partners, and promoting continuous improvement. The role involves monitoring KPIs, managing customer compliance, identifying inefficiencies, and developing risk mitigation strategies.

The Data Scientist Manager will lead a team in analyzing complex genetic data and developing models to enhance genetic testing products. This role involves collaboration with cross-functional teams to provide data-driven insights for strategic decisions, requiring expertise in data manipulation, statistical analysis, and machine learning.

The Head of Engineering Operations is responsible for establishing strategies for collecting and managing engineering data, improving engineering processes, and ensuring operational excellence across global and regional departments. The role involves analyzing performance metrics, integrating data from various sources, and creating dashboards for real-time visibility while ensuring compliance with regulations.

As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.

Data Engineer responsible for developing and maintaining ELT snowflake data warehouse solutions, collaborating with technology and business partners, and implementing data solutions. Must have 8+ years of data engineering experience using ETL/ELT technologies and proficiency in various tools like Snowflake, Informatica, and Azure.