Top Data & Analytics Jobs
The Senior Analytics Engineer will evolve the data infrastructure to support the finance department, ensuring high data quality and availability. Responsibilities include leading data projects, collaborating across teams, and shaping the company's data strategy, while promoting a data-driven culture and implementing efficient processes.
The Scientist I/II will contribute to developing novel nanoparticle formulations for nucleic acid delivery. Responsibilities include optimizing formulations, developing analytical methods, executing experiments, and collaborating across teams to advance therapeutic candidates. The role requires strong problem-solving skills and the ability to manage multiple projects in a fast-paced environment.
The Scientist will lead projects in electrophysiology for kidney disease, establishing in vitro assays and characterizing novel therapeutic targets. Responsibilities include collaboration with teams and external partners, overseeing electrophysiology efforts, and delivering scientific presentations.
Featured Jobs
The Senior Manager, Data Engineer will lead the development of data flows, ETL/ELT pipelines, and analytics solutions for the Enterprise Data and Analytics platform. This role involves collaboration with business stakeholders to gather data requirements and implement scalable solutions using modern tools.
The Senior Data Scientist is responsible for performing data analysis and providing quantitative solutions to business problems. This includes developing and implementing prediction and optimization models, maintaining existing mathematical procedures, and supporting internal and external teams. The role also involves mentoring data scientists and communicating findings to both technical and non-technical audiences.
The Senior Data Systems Engineer - BI will work closely with clients to develop technology innovation plans and enhancements on a broad range of areas including model-based system engineering, relational data architectures, data modeling, data integration, report/dashboard creation, data analytics platform design, and machine learning/statistical analysis.
The Data Engineer role at Castleton Commodities International involves executing data architecture and data management projects, leading data analysis using machine learning, managing data ingestion processes, and collaborating with trading teams. The position requires expertise in SQL programming, data architecture, and dimension modeling, along with experience in energy commodities or financial services.
As a Data Scientist, you will analyze complex data sets to identify insights and trends. Responsibilities include model development, collaboration with teams, creating visualizations, and reporting findings to stakeholders.
Senior Data Engineer role at DICK’S Sporting Goods responsible for building datasets, simplifying complexity, ensuring data quality, and enabling insights for decision-makers. Collaborate with various teams, design data warehouse schemas, develop ETL processes, and provide analytical support for business requirements.
The Data Scientist will be responsible for generating insightful reports and supporting finance and operations teams with data-driven decision-making. They will design and maintain efficient ETL processes, generate meaningful reports by analyzing financial data, identify process improvement opportunities, and collaborate with cross-functional teams.
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