The Data Ingest Analyst performs editorial, administrative and analytical functions related to the ongoing development and creation of media databases and content, specifically in the audiovisual sphere. This person will be responsible for securing text and image data related to TV Series, Movies and Sports airing on TV or video-on-demand.

As a UX Analyst, you’ll focus on data cleaning and analyze a mix of qualitative and quantitative data to deliver high-quality insights. Responsibilities include conducting quality checks on data, analyzing quantitative and qualitative data, and effectively conveying the story behind the data to ensure insights are accessible and impactful.

You will play a critical role in understanding and optimizing the dynamics of the world’s largest work marketplace. Your expertise in data science will help shape strategic executive-level decisions across Supply and Demand dynamics, Macroeconomic and Generative AI influences, Customer behavior / segmentation / lifetime value, and Marketplace efficiency.

Leverage your analytical skills to identify patterns, trends, and insights in large data sets. Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models. Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values.

As Senior Power BI Analyst, you will be instrumental in developing and optimizing data solutions that drive insightful business decisions, working closely with data analysts and other stakeholders to create interactive and actionable dashboards and reports. The ideal candidate will have a strong background in PowerBI, SSRS, SQL, Azure, and data visualization tools.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions. The ideal candidate will have a deep understanding of cloud data and analytics technologies and define strategic roadmaps and targeted outcomes for clients. This role involves overseeing data standards, participating in technical interviews, and providing technical guidance to architects and engineers.

Collect data from various sources, designing and building efficient data pipelines using tools like Matillion, you'll integrate and consume data from external APIs to enrich data sets and contribute to the design of efficient architectures for handling large volumes of data.