Top Entry Level Data & Analytics Jobs in St. Louis, MO

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.

The Data Services Librarian supports SLU researchers by guiding them in data management, curation, and compliance with data requirements, while providing training and outreach efforts to enhance data literacy.

The Quantitative Fellowship Program is a two-year rotational program focused on developing strong analytical skills for future quantitative analysts in the Federal Reserve System. Responsibilities include performing assessments of risks, analyzing financial data, and interacting with financial institutions, along with extensive training in quantitative topics.

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.

The AWS Data Engineer will work on a data cleansing and harmonization project, focusing on AWS ETL design and development using various AWS services.

Comerit seeks multiple consultants for data migration projects involving SAP and AWS technologies. Roles include Data Engineer and Architect positions focusing on Analytics and BI.

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.

Build and maintain dashboards and reports, run data analyses across sales, marketing, product, and finance, write SQL to extract and validate data, partner with stakeholders to gather requirements, and present actionable insights to technical and non-technical audiences.

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.