Top Hybrid Data & Analytics Jobs

The Senior Data Engineer will operationalize data governance by developing tools for data discovery, maintain data quality, and implement enterprise initiatives.

As a research scientist, you'll support real-world data collection and curation, develop datasets using AI/ML, and collaborate with stakeholders to analyze data for quality and utility in cancer care.

As an NLP Data Engineering Intern, you will transform text data into insights, design pipelines, and collaborate with teams to support AI applications.

The role involves developing data solutions, collaborating with stakeholders to define impactful metrics, evaluating AI effectiveness, mentoring teams, and assisting in data product strategy.

Lead spend intelligence and sourcing analytics, manage budgeting processes, generate insights, collaborate with finance, and leverage AI for analytics.

The Senior Analyst, Product Pricing will develop pricing strategies, conduct margin analysis, and collaborate with teams to optimize pricing models supporting financial goals in e-trading.

Lead Philo's Data team, overseeing data science, engineering, and analytics to provide reliable insights and data-driven solutions across the company.

The Analytics Manager will lead a team of analysts, focusing on data product delivery in the life insurance sector, while ensuring quality standards and mentoring team members.

As a Quantitative Developer, you will enhance derivatives pricing models, collaborate with traders and engineers, and apply quantitative research and data analysis.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.