Top Data & Analytics Jobs
The Implementation Analyst will design and configure the DealCloud platform to meet client business requirements, manage multiple client implementations, and analyze client data. Responsibilities include gathering requirements, configuring the platform, and providing consultative support during implementations.
As a Data Science Consultant, you will support business operations through data analysis and presentations. You'll manipulate datasets to drive analytics and collaborate with stakeholders to provide data-driven recommendations and solutions. Strong communication and collaboration skills are essential to succeed in this role.
The AWS Data Engineer II develops and operationalizes data pipelines for consumption and advanced analytics, ensuring high-quality data processing across environments. Responsibilities include designing data management procedures, maintaining real-time processing applications, and identifying improvements for data reliability and efficiency.
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The Sr. Analyst of Profit Revenue Growth Management at Feastables will drive pricing strategy and revenue growth through data analysis. Responsibilities include performing pricing elasticity analysis, forecasting, optimizing trade spend, managing operating plans, and creating data visualizations. The role emphasizes strategic planning and market research to influence competitive pricing and enhance profitability.
The Senior Data Engineer will collaborate with Agile teams to design and implement automated data lake solutions, centralize data from various sources, and manage data pipeline orchestration. The role involves working with Scala, Spark, SQL, and NoSQL to support company-wide analytics initiatives.
Are you passionate about cutting-edge technology and looking to make a significant impact in the world of Graph Databases and Analytics? Join our dynamic team as a Sr. Technical Product Marketing Manager, where you will play a pivotal role in driving our go-to-market strategy and acting as the technical advocate for our innovative solutions.
The Senior Data Scientist will develop optimization models for logistics operations, build automated pipelines, define and track KPIs, create financial models, and conduct advanced statistical analyses to inform strategic decisions. The role emphasizes collaboration across teams to enhance time-critical logistics through data-driven solutions.
The Data Scientist, Product Analytics at Ladder is responsible for driving quantitative analysis to inform product development and iteration. They collaborate with product, design, and engineering teams to define KPIs, conduct data analysis, and design scalable data infrastructure. The role requires 3+ years of experience in data science and a strong understanding of statistics and SQL.
The Staff Scientist will focus on driving business growth through new product development, process development, and application development. Responsibilities include developing knowledge of filtration and adsorbents, collaborating with quality and manufacturing teams, optimizing production processes, managing customer relationships, and leading validation trials.
The Logistics Data Entry Coordinator is responsible for accurately entering and managing data related to factory production, shipping, and inventory. This role involves processing shipping documents, verifying data accuracy, and coordinating with various teams to ensure timely vendor payments and product tracking.
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