Top Data & Analytics Jobs
The Revenue Fraud Analyst will analyze data from Postal Service systems to support investigations into revenue fraud. Responsibilities include reviewing complaints, evaluating USPS systems, data mining for deficiencies, and preparing analytical reports to document findings and share insights.
The Research Scientist I will perform bench experiments using various molecular biology and laboratory techniques, assist in data analysis, contribute to team objectives, and maintain laboratory equipment.
The Senior Data Architect Lead will establish and maintain a data infrastructure, lead data software product development, manage work using Agile methodologies, and design scalable data architecture solutions. This includes collaborating with stakeholders, performing data analysis, supporting data governance, and ensuring high-quality and performance standards for data processes.
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The Scientist I will conduct laboratory work independently, focusing on material synthesis, characterization, and applications testing. Responsibilities include improving test methods, maintaining laboratory equipment, ensuring compliance with standard operating procedures, and performing project work to meet performance goals in the TiO2 pigment markets.
Serve as a facilitator between the customer and the company, conducting research, analysis, and developing new product concepts. Support technical development and new product development for various markets. Present work at conferences and manage laboratory operations efficiently.
The Data Engineer II will design and maintain data warehouse capabilities, manage SQL Server databases, develop REST API services, and implement ODBC and OAuth connections for secure data access. Collaborating with cross-functional teams, the role emphasizes delivering optimal data solutions while maintaining high performance and reliability.
As a Manager of Data Engineering and Science, you will oversee the design, development, and execution of a Centralized Data Warehouse while managing data flow and leading data science projects. You will collaborate with cross-functional teams to enhance data infrastructure for various analytical initiatives and support the organization’s data governance efforts.
Looking for a hands-on, dedicated Senior Data Engineer with expertise in Databricks, Snowflake & AWS to develop and optimize data architecture. Responsibilities include designing digital products, engaging with stakeholders, leading data model designs, and ensuring data quality and compliance. Requires 8-10 years of data engineering experience and strong familiarity with Python and R.
As a Senior Data Engineer at Goodwin, you will modernize data platforms, optimize data management processes, collaborate with cross-functional teams, and enhance performance of data analytics systems, mainly utilizing Microsoft SQL Server and various Microsoft data tools.
The Staff Research Scientist will focus on the pathophysiology of neurological and psychiatric disorders, conducting advanced electrophysiological experiments and data analysis. The role requires independence in experimental design, strong technical skills, and effective communication, while collaborating with a team to generate informative research data.
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