As a Data Analyst at Circle, collaborate with business partners to understand products and the ecosystem, enabling better decision-making with data. This role involves strategic analysis, data visualization, and building scalable automation solutions using SQL and dashboards. Partner with leaders effectively employing clear and structured communication to tell a “story” focused on business insights & data. Develop strategic problem-solving, quantitative analytics, and communication skills.
Support and enhance data-driven reporting across the Client Services team. Accountable for developing, maintaining, and optimizing client reporting processes to ensure accurate, timely, and actionable insights are delivered both internally and externally. The Reporting Data Analyst will work closely with internal teams as well as directly with clients.
Join Collibra’s Professional Services Team as a Solution Architect, Data Quality, you will collaborate with clients to understand their data quality challenges and provide actionable recommendations for developing or refining a robust Data Quality Strategy. Your role will focus on improving client data quality through profiling, analysis, and long-term monitoring using Collibra products. You will partner with clients to create sustainable solutions for their data quality needs.
In this role, you will report to the Sr. Director, Data, Analytics, and Machine Learning and you will help build the pipelines and infrastructure that power analytics, reporting, and machine learning. You will also build an longevity ontology knowledge graph. You’ll work cross-functionally with engineering, data, and business teams to design and implement reliable, well-tested data pipelines and scalable models.
In this job, you will join our efforts in the application of Network Science to our business. You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs. You will also use your analytical skills to come up with useful graph architectures, interpret graphs, visualize graphs, and experiment with different techniques to find interesting patterns hiding in graph data.
We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact.
NBCUniversal is looking for a passionate cloud data expert to participate in NBCU’s D&A journey to the cloud, reporting to the Senior Director (Data Management). You will drive product usability and innovation in the Data Engineering space, working with stakeholders, data engineers, visualization experts, data scientists, and other technologists across the business to supply business groups with data to advise and shape strategic business decisions related to content. The position requires expertise in data analytics with business acumen and deep technical knowledge to drive product transformation.
The Analyst on the team functions as a primary resource for department chairmen, administrators and regional hospital administration regarding the development of business intelligence tools. You will coordinate with EBI Developers to identify data sourcing and apply business rules in the deployment of dashboards and other BI tools. A caregiver in this position works remotely Monday-Friday, 8:00AM—5:00PM.
The Corporate Data & Analytics (CDA) team is looking for an Analytics Engineer I to join their team to transform data into actionable, goal-driven reporting. As a CDA Analytics Engineer, you can expect to create and automate rich, complex data sets that allow Analysts and BI consumers to work faster, safer, and better.
During this Master thesis, you will develop and train an ML model to parse industry-specific documents as an entry point for a Retrieval-Augmented Generation (RAG) pipeline. Your job includes the development of custom parsing and chunking tools for industry-specific documents, as well as their ingestion into a vector database. Last but not least, you will train and/or fine-tune a custom LLM model for use-case-specific applications within the scope of smart hydraulic services.