Top Data & Analytics Jobs
As a Data Scientist at Peloton, you will analyze data to uncover insights that drive operational efficiency and member satisfaction. Responsibilities include collaboration on measurement strategies, development of optimization models, and creating dashboards to report on key metrics. You will also communicate findings to stakeholders to influence decision-making.
As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.
As a Data Scientist at Clay, you will own the full-funnel insights process, develop data infrastructure, design experiments, and transform complex data findings into actionable insights. You will play a critical role in driving strategic decisions and supporting a data-driven culture within the company.
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The Warehouse Data Entry role involves ensuring a clean and safe working environment, inspecting returned goods, recording data accurately in Excel, and creating or updating Return Goods Authorizations. The incumbent is also expected to identify process deviations and contribute to continuous improvement efforts.
As a Senior Data Engineer at Axio, you will collaborate with teams to enhance data products, develop ETL pipelines, implement data models, and architect data infrastructure, ensuring data quality and facilitating advanced analytics.
The Director of Business Data Governance will establish and oversee the management of master data, ensuring its accuracy and reliability. They will lead a team, define enterprise standards, and implement master data management strategies while aligning processes globally to support McCain's digital transformation.
As an FBOS Data Partner at Gusto, you will lead data management processes, oversee financial operations, ensure accurate reporting, support new product introductions, and collaborate on strategic initiatives to drive revenue growth. You will play a key role in preparing the company for an IPO and developing business insights.
As a Staff Machine Learning Engineer on the Risk team, you will develop machine learning solutions to mitigate risk and fraud while collaborating with various stakeholders to balance business loss and customer experience. You will leverage extensive transaction data to understand customer behavior and create innovative products.
As a Senior Business Analyst, you will identify growth opportunities through data analysis, support product strategy, define key performance metrics, design dashboards, and analyze experiments to provide insights for product teams and leadership.
The Technical Business Analyst collaborates with Product Management to define requirements, document them as Business Requirements Documents (BRDs) or User Stories (US), and leads the creation of Test Plans. They analyze systems processes, drive awareness of requirements across business units, and ensure quality assurance in systems development while maintaining effective communication with stakeholders.
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