Job Description
Join our dynamic team at Houston Tech Innovators as an Entry Level Data Analyst and kickstart your career in the thriving Houston tech scene! We're seeking motivated graduates eager to transform raw data into actionable business insights. Enjoy competitive compensation, comprehensive training programs, and opportunities for rapid career advancement in one of America's fastest-growing tech hubs.
As a cornerstone of our analytics division, you'll work alongside industry veterans to develop data-driven strategies that impact real-world decisions. Our collaborative environment fosters continuous learning, with mentorship programs designed to accelerate your professional growth. We offer flexible work arrangements, health benefits, and quarterly team-building events to support your work-life balance.
Responsibilities
- Analyze complex datasets using SQL, Excel, and Python to identify trends and business opportunities
- Create compelling data visualizations and dashboards using Tableau/Power BI for stakeholder presentations
- Support cross-departmental projects by providing accurate data interpretations and recommendations
- Develop automated reporting systems to streamline monthly performance metrics
- Collaborate with senior analysts to refine data collection methodologies and quality standards
- Present findings to non-technical teams using clear, jargon-free communication
- Stay current with industry best practices in data analytics and visualization techniques
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (recent graduates encouraged)
- Proficiency in SQL and Microsoft Excel (VBA experience a plus)
- Familiarity with data visualization tools (Tableau, Power BI, or similar)
- Basic understanding of statistical analysis and data modeling concepts
- Strong problem-solving skills with attention to detail and accuracy
- Excellent written and verbal communication abilities
- Ability to work independently and collaborate in fast-paced team environments
- Portfolio demonstrating data analysis projects (academic or personal acceptable)