Job Description
We are seeking a talented Data Analyst to join our dynamic team in Las Vegas, NV. This is an Immediate Hire opportunity for a driven professional who is passionate about turning complex data into clear, actionable insights.
In this role, you will be instrumental in shaping our data strategy and helping stakeholders make informed decisions. We offer Relocation Assistance to help you move to the vibrant Las Vegas area, making this the perfect time to advance your career.
Key Highlights:
- Competitive base salary ($85k - $110k).
- Comprehensive Relocation Assistance package.
- Modern, collaborative work environment with cutting-edge tools.
- Opportunity for rapid career growth and leadership development.
Responsibilities
- Data Mining & Cleaning: Extract, clean, and validate data from multiple sources to ensure accuracy and integrity for reporting.
- Dashboard Creation: Design and develop interactive dashboards using Tableau or Power BI to visualize key performance indicators (KPIs).
- Statistical Analysis: Perform advanced statistical analysis to identify trends, correlations, and anomalies in large datasets.
- Reporting: Create comprehensive reports and presentations for executive leadership and cross-functional teams.
- Process Improvement: Identify areas for process improvement within the data lifecycle and recommend data-driven solutions.
- Collaboration: Work closely with product managers and engineers to define data requirements and support business objectives.
Qualifications
- Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related field.
- Experience: 2-4 years of professional experience in data analysis or a similar role.
- Technical Skills: Proficiency in SQL (strong query writing skills) and experience with Python or R.
- Visualization: Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Attention to Detail: High level of accuracy and a keen eye for detail in data interpretation.