Top Data & Analytics Jobs

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.

As a Senior Data Analyst at Flow, you will create metrics, develop data analyses, and design dashboards to provide actionable insights for business decisions. Collaborating with cross-functional teams, you'll gather data requirements and guide data analysis practices while fostering a data-driven culture within the organization.

The Analyst will support the client delivery team by conducting research to identify top executive talent and understand industry dynamics. Responsibilities include developing research strategies, analyzing market segments, and ensuring high-quality candidate flow while managing project timelines and documentation.

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 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.

The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.