Job Description
We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team in Las Vegas. While our headquarters is in the heart of Nevada, we offer a fully remote-first environment, allowing you to work from anywhere in the United States.
As a key member of our analytics team, you will drive business decisions through data visualization, statistical modeling, and deep-dive reporting. We provide Relocation Assistance to ensure you can settle in comfortably, regardless of your starting point. This is an excellent opportunity for a professional looking to make a significant impact in a thriving tech hub.
Why Join Us?
- 100% Remote Work: Enjoy the flexibility to work from home or anywhere in the US.
- Relocation Assistance: We support your move to Las Vegas with a generous relocation package.
- Competitive Compensation: Salary range of $85k - $120k based on experience.
- Modern Tech Stack: Work with cutting-edge tools like Python, SQL, and Tableau.
Responsibilities
- Collect, clean, and analyze large datasets to identify trends and patterns that drive business strategy.
- Create interactive dashboards and visualizations using Tableau, Power BI, or Looker to communicate insights to stakeholders.
- Collaborate with cross-functional teams (Marketing, Sales, Operations) to define key performance indicators (KPIs) and reporting metrics.
- Build and maintain complex SQL queries to extract data from various sources, including SQL databases and cloud-based platforms.
- Perform statistical analysis and predictive modeling to forecast future trends and support decision-making processes.
- Document data processes and methodologies to ensure data governance and accuracy across the organization.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL (writing complex queries, joins, and stored procedures).
- Expert knowledge of data visualization tools such as Tableau, Power BI, or Qlik Sense.
- Proficiency in programming languages like Python or R for data manipulation and analysis.
- Excellent communication skills with the ability to translate complex data into actionable business insights.