Top Entry Level Analysis Reporting Jobs in Providence, RI

As a Data Operations Analyst, you will maintain and enhance Charge Integrity SaaS by utilizing SQL and data analysis to solve complex revenue cycle problems and ensure accurate charge capture.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.

The Payor Analyst processes claims data to drive payer access and revenue growth, supports access strategies, and generates insights for stakeholders.

Gather, clean, organize, model, and report data to support College Raptor enrollment services. Analyze internal data (web traffic, scholarships, sales), build predictive models, create dashboards, perform ad hoc analyses, and deliver timely reports to enrollment consultants and campus partners.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.

As a Liquidity Operations Analyst, you will process and validate trading data, monitor liquidity dashboards, and collaborate with teams to ensure operational efficiency.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Support Demographics Advisors by researching and tracking new housing developments, validating data with municipal contacts, creating and maintaining GIS datasets, preparing maps, tables, and client-ready presentations, and ensuring data quality for enrollment projections and facility planning.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.