Top Data & Analytics Jobs
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The Senior Data Scientist will leverage advanced analytics and machine learning to drive growth and enhance customer experience for Gap Inc's brands. Responsibilities include creating predictive models, guiding audience targeting strategies, and collaborating with various teams to ensure data quality and implement data-driven strategies.
The Consent Data Solution Leader will support clients by providing data service support, improving privacy management, and enhancing data capabilities. This role involves leading a team, collaborating with legal and digital teams, and executing an analytics strategy to deliver effective consent and privacy solutions.
The Budget and Data Coordinator at MSU Denver manages budget support, financial tracking, and accounting activities for the Department of Criminal Justice & Criminology. The role requires collaboration with the administrative support team and involves using various technology solutions such as Banner and Slate for event management and graduate admissions support.
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The Scientist will focus on developing adhesive and primer formulations, collaborating with R&D on projects, conducting tests, maintaining analytical equipment, and managing customer relationships. Responsibilities include formulation preparation, project planning, technical presentations, and documenting research progress.
Design and develop scalable and efficient data architecture solutions, collaborate with stakeholders, lead data modeling and integration processes, ensure data integrity and compliance, optimize database performance, evaluate new technologies, enforce data governance policies, provide technical guidance, stay updated on industry trends.
As a Data Engineer II, you will design, develop, and maintain data warehouses, manage SQL Server databases, and develop REST API services. You will work with T-SQL and various OLAP/OLTP data sources, optimize performance, and collaborate with teams to meet data requirements while ensuring compliance with business needs and HIPAA regulations.
The Senior Programmer/Analyst will capture user requirements for systems development, create functional specifications, migrate legacy applications, develop prototypes, and document programming tasks. They will also work with cross-functional teams to deliver solutions and enforce compliance processes.
The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.
The Senior Revenue Analyst is responsible for revenue close cycle accuracy, revenue reporting, compliance with audit controls, and process standardization. They participate in enterprise initiatives and collaborate across departments to drive project resolutions and understand revenue recognition for new offerings.
As a Data Engineer on the Data Platform team, you will design and build data transformations, develop big data systems, and establish best engineering practices to support the company's core products and enhance data products for business teams.
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