Top Data & Analytics Jobs
The Management Analyst will analyze existing and proposed department projects, advise management, develop special projects, analyze financial information, and facilitate coordination among various departments while supporting overall management agendas.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
The Sr. Director of Data Analytics will lead a team to develop data-driven analytic solutions that drive business growth, focusing on areas such as product planning, customer insights, and operations. The role involves consulting with stakeholders, creating dashboards, and improving analytics practices within the organization.
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The Senior Research Associate will develop and execute next generation sequencing (NGS) workflows, troubleshoot library preparations, maintain NGS platforms, and document experimental procedures. They will work cross-functionally to support genome editing discovery and development, particularly involving Cas nucleases.
As a Data Scientist at Flip Shop, you will analyze data and user-generated content to enhance the shopping experience, collaborate with various leaders to provide strategic insights, and develop data science solutions using machine learning. You'll also track performance through KPIs and dashboards, ensuring that initiatives drive growth and engagement.
The Data Architect is responsible for designing and overseeing enterprise-wide data architecture, ensuring data quality, integrity, and management. They collaborate with teams to develop data solutions, oversee data processes, implement methodologies, and support enterprise data projects to drive organizational goals.
The Senior Data Scientist will contribute to machine learning research, focusing on developing algorithms for neurological insights and gesture classification. Responsibilities include coding in Python, performing data mining and analysis, collaborating with cross-functional teams, and mentoring junior team members. The role will also involve benchmarking models and participating in data collection experiments.
The role involves designing, developing, and maintaining software applications and data pipelines using Databricks and Snowflake. Responsibilities include implementing ETL processes, collaborating with teams, optimizing performance, ensuring code quality, and contributing to technical discussions.
The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.
The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.
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