As part of the larger implementations team, Associate Conversion Data Analysts extract data from customers' legacy databases, analyze that data and then create data maps to customer’s new Bloomerang databases. This role requires a high level of detail, creative thinking and collaboration between teams.

The Senior Analyst will drive efforts around demand and headcount forecasting based on marketing efforts and new bookings with key stakeholders, providing insights on variance to prior forecasts across clients, service lines and channels. They will also assist in defining the requirements for key data pipelines & reporting, playing a critical role in allowing Included Health to grow at scale.

SR level TPM to run standups as well as meet with our customers and take on tasks. Having a strong background in Power BI along with Data Engineering would be the skillset. This role will lead daily standups, engage with customers, and manage tasks effectively. The ideal candidate should have strong program management experience.

Responsible for conducting data analysis for operational resource and capacity planning using complex statistical analysis quantitative methods to identify trends, anomalies, and outliers. You will create accurate long-term forecasts and develop and maintain staff models aligning with business plans.

The Data Analyst works cross-functionally with data engineers, data scientists, and business experts to help deliver a better student experience using data and analytics. The analyst collaborates on a variety of projects that include building analytical models, coding, data visualizations, and storytelling. This role supports the Financial Aid department and understanding higher education financial aid systems and regulations.

Drive data-driven decision-making and process optimization by developing analytics models and enhancing reporting tools. The analyst will ensure seamless operations throughout the Amazon Prime activation process and collaborate cross-functionally with teams like Merchandising, FP&A, and Planning to align strategies and monitor performance.

Support cross-functional teams in optimizing automated workflow processing. You will oversee and maintain operational workflows to meet processing and service level targets, troubleshoot issues, coordinate resolutions with internal teams, and communicate status updates to external stakeholders.

The Carrillo Lab at The University of Chicago is seeking a highly motivated Data Science Analyst to work primarily with lab members on various projects to analyze large data sets. As a key member of our team, this position will develop analytical and statistical pipelines to quantify and identify meaningful insights from transcriptomic, proteomic, and imaging data.

You will play a critical part in transforming raw data into actionable insights that drive decision-making and business strategy. You will work closely with cross-functional teams to analyze data, identify trends, and provide recommendations that support organizational goals. Collect, clean, and organize large datasets from various sources.

Perform development activities within a data engineering team, guiding and training Data Engineer I, while collaborating with various teams to develop data pipelines and enhancements. Extract, clean, and load data, build data pipelines using SQL, Kafka, and other technologies. Investigate and document new data sets as well as triage incoming bugs and incidents.