Job Description
We are seeking a High-Impact Data Analyst to join our fast-paced team in Phoenix, Arizona. As a pivotal part of our analytics department, you will transform raw data into actionable insights that drive our business strategy. We offer a competitive salary package, equity options, and a culture that prioritizes innovation and professional growth.
Why You'll Love Working Here:
• Equity Participation: Own a piece of the company's future with our equity options program.
• Modern Tech Stack: Work with the latest tools including SQL, Python, and Tableau.
• Flexible Work Environment: Hybrid schedule available in Phoenix.
• Professional Development: Continuous learning budget and mentorship opportunities.
Responsibilities
- Advanced Analytics: Conduct complex data analysis and modeling to uncover trends, patterns, and opportunities for business optimization.
- Visualization: Design and develop interactive dashboards and reports using Tableau and Power BI to effectively communicate data stories to stakeholders.
- Data Governance: Ensure data quality, integrity, and consistency across all reporting systems and databases.
- Strategic Reporting: Produce high-level executive summaries and ad-hoc analyses that support key business initiatives and decision-making.
- Process Improvement: Identify inefficiencies in current data workflows and propose scalable technical solutions to streamline operations.
- Collaboration: Partner with cross-functional teams (Marketing, Sales, Operations) to define key performance indicators (KPIs) and success metrics.
Qualifications
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- Experience: 3-5+ years of professional experience in data analysis or business intelligence.
- Technical Proficiency: Strong command of SQL for database querying and proficiency in Python or R for data manipulation.
- Visualization Tools: Expert level experience with Tableau, Power BI, or similar visualization platforms.
- Statistical Knowledge: Solid understanding of statistical concepts, regression analysis, and A/B testing methodologies.
- Communication: Exceptional ability to translate complex technical findings into clear, concise business recommendations for non-technical audiences.