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# Lead Analyst - Insights

- **Company:** Hard Rock Digital
- **Location:** Las Vegas, NV, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Artificial Intelligence, Data Analysis, Big Data, Data Integrity, Data Sharing, Database Queries, Python (Programming Language), NumPy, Tableau (Software), Data Processing, Large Language Models, Snowflake, Pandas
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f79ea6090c8c3afc

## About the Role

* 5-8 years of experience in analytics, business intelligence, or an insights-focused role.
 * Strong SQL skills, including the ability to write and optimize complex queries across large datasets.
 * Advanced Tableau skills, including building dashboards and visualizations that are both accurate and stakeholder-ready.
 * Experience using AI tools within an analytical workflow, including prompt-based data exploration, AI-assisted analysis, or LLM-integrated tooling.
 * Demonstrated ability to take an ambiguous business problem and structure it into a clear analytical approach.
 * Strong written and verbal communication skills, with the ability to present findings clearly to non-technical audiences.
 * Proven track record of delivering analytical work independently, end to end, with minimal oversight.
 * Bachelor's degree in Analytics, Business, Statistics, or a related field, or equivalent work experience.
 * Experience in iGaming, online sportsbook, casino, or a regulated industry environment.
 * Familiarity with Snowflake or a similar cloud data warehouse.

Nice to have

 * Python experience, particularly for data manipulation and analysis (pandas, NumPy).

## Description

* Design and deliver high-complexity analyses across Customer Operations, including operational performance, customer behavior, and strategic initiatives.
 * Build and maintain Tableau dashboards and reporting that give stakeholders clear, accurate visibility into operational performance.
 * Structure complex business problems into clear analytical approaches and present findings in a way that is accessible to non-technical stakeholders.
 * Work within defined analytical priorities to identify the right data, metrics, and methodology before building toward answers.
 * Engage with stakeholders to clarify requirements and ensure the analytical approach addresses the right problem.
 * Identify trends and surface insights proactively, not only in response to requests.
 * Leverage AI tools to accelerate analytical work while maintaining full ownership of the output and the judgment behind it.
 * Build data-backed analyses and business cases to support new initiatives, tooling, or resource decisions.
 * Create and maintain clear documentation for metrics definitions, analytical methodologies, and recurring reports.
 * Validate data integrity and ensure analytical outputs are grounded in accurate, well-understood sources before drawing conclusions.
 * Collaborate with the BI team on shared data, metrics, and stakeholder context to ensure consistency across analyses.


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