Enterprise Data Solutions Analyst II

Caesars Entertainment; Las Vegas (NV); On-site; USD 70,000 - 110,000; Full time

Job summary

Caesars Entertainment is seeking an Enterprise Data Solutions Analyst II to support multiple business verticals, ensuring data processes run on schedule and quality checks pass. The role works with analytics to deliver data-driven reporting and insights, collaborating with IT ETL and EDW teams to optimize data flow and security.

The ideal candidate has experience with large datasets, SQL, and scripting for automation, plus familiarity with Tableau/Power BI and cloud data platforms.

Qualifications

• Extensive experience working with large datasets.
• Relational databases and SQL proficiency.
• Ability to write functional scripts for data automation/scrubbing (SAS, Python, VB).
• Experience with modern BI platforms (Tableau, MicroStrategy, Power BI) is preferred.
• Experience with modern cloud data solutions is a plus (Google Cloud, Azure, AWS).
• Minimum of 2 years of full-time work experience.
• Bachelors degree in technical field preferred.

Responsibilities

• Ensure automated processes run on schedule and data quality checks are met consistently.
• Troubleshoot and fix ETL issues if/when data processes fail.
• Ensure that established data security and sharing practices are upheld in every tool and process.
• Answer support related questions around data source flow and logic.
• Partner with (EDW) to support IT ETL processes.

Skills

SQL

Large datasets

Data analysis

SAS

Python

VB

Education

Bachelor's degree in technical field

Tools

Tableau

Power BI

MicroStrategy

Google Cloud

Azure

AWS

Job description

Caesars Entertainment is seeking an Enterprise Data Solutions Analyst II to support multiple business verticals, ensuring data processes run on schedule and quality checks pass. The role works with analytics to deliver data-driven reporting and insights, collaborating with IT ETL and EDW teams to optimize data flow and security.

The ideal candidate has experience with large datasets, SQL, and scripting for automation, plus familiarity with Tableau/Power BI and cloud data platforms.