Job Description
Join our award-winning data team as a Data Analyst in Austin, Texas! We're offering a rare combination of weekly paychecks and equity options for exceptional candidates who can transform raw data into strategic business insights.
This role is perfect for analytical minds who thrive in fast-paced environments. You'll leverage cutting-edge tools to uncover trends, optimize operations, and drive data-driven decisions across departments. With weekly pay, you'll enjoy improved cash flow management, while equity options align your success with our company's growth trajectory.
Our Austin hub features modern collaborative spaces, flexible work arrangements, and a culture that values innovation. If you're ready to accelerate your career while making tangible impact, apply today!
Responsibilities
- Analyze complex datasets to identify trends, patterns, and actionable business opportunities
- Develop and maintain interactive dashboards using Tableau/Power BI for real-time reporting
- Collaborate with cross-functional teams to define KPIs and track performance metrics
- Design automated data pipelines to streamline reporting processes and ensure data integrity
- Present findings to executive stakeholders through compelling visualizations and narratives
- Conduct A/B testing and statistical analysis to support product optimization
- Stay current with emerging data technologies and industry best practices
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis or business intelligence roles
- Expert proficiency in SQL and experience with relational databases (PostgreSQL preferred)
- Strong skills in data visualization tools (Tableau, Power BI, or Looker)
- Experience with Python or R for statistical modeling and data manipulation
- Proven ability to translate complex data into clear business recommendations
- Excellent problem-solving skills with attention to detail and accuracy
- Experience working with large datasets and cloud platforms (AWS/Azure)