Job Description
Join DataDriven Solutions as an Entry Level Data Analyst and launch your career in data analytics with a company that values innovation and growth. We're seeking analytical minds to transform raw data into actionable business insights while building foundational skills in a collaborative environment. This role includes competitive compensation, equity options, and mentorship from industry experts.
Our Austin-based team works on cutting-edge projects across fintech, healthcare, and e-commerce sectors. You'll gain hands-on experience with real-world datasets while contributing to high-impact decisions that shape our products and services. We believe in nurturing talent—no prior professional experience required, just passion for data and a drive to learn.
Responsibilities
- Collect, clean, and analyze complex datasets using SQL and Python to identify trends and opportunities
- Create interactive dashboards and visualizations using Tableau/Power BI for stakeholder presentations
- Develop automated reporting systems to track KPIs and business performance metrics
- Collaborate with cross-functional teams to translate business requirements into data solutions
- Conduct A/B testing and statistical analysis to support product optimization initiatives
- Document data processes and maintain data quality standards across systems
- Present findings to leadership teams with clear, actionable recommendations
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field
- Proficiency in SQL with ability to write complex queries and optimize database performance
- Experience with data visualization tools (Tableau, Power BI, or Looker)
- Familiarity with statistical analysis methods and hypothesis testing
- Basic knowledge of Python (Pandas, NumPy) or R for data manipulation
- Strong attention to detail with ability to validate data accuracy and integrity
- Excellent written and verbal communication skills for technical and non-technical audiences
- Portfolio demonstrating data analysis projects (academic or personal acceptable)