Top Remote Entry Level Data & Analytics Jobs in CO

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 Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

The Data Operations Analyst II supports client onboarding and data integration, ensures data quality, and collaborates with internal teams and stakeholders on implementations and ongoing client support.

As a Remote Data Entry Specialist, you will participate in research studies, enjoy flexible work hours, and build your skills from home. Training is provided, and no specific experience is required.

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

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

The Visualization Architect will lead an analytics solution for Valvoline's Global Products, focusing on metric standardization, reporting consistency, and scalability. Responsibilities include implementing best practices, designing data frameworks, creating dashboards, and coaching resources on analytics methodologies.

The Lead Actuary oversees advanced analytics and forecasting for financial data, develops business intelligence strategies, collaborates with stakeholders, and ensures data integrity while advising executives on strategic decisions.

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.

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.