Job Description
Join our growing data team at Mountain Data Solutions as an Entry Level Data Analyst! We're seeking passionate individuals ready to launch their careers in data analytics while making a tangible impact in Colorado Springs' thriving tech scene. This role offers hands-on experience with real-world datasets, mentorship from senior analysts, and opportunities to grow into specialized data science tracks.
Our collaborative environment combines cutting-edge technology with practical business applications. You'll transform raw data into actionable insights that drive strategic decisions across finance, operations, and marketing. We provide comprehensive training programs, flexible work arrangements, and a competitive benefits package including health insurance and professional development stipends.
Perfect for recent graduates with analytical minds and curiosity about data-driven storytelling. If you're ready to turn numbers into narratives and build foundational skills for a future in data, we want to meet you!
Responsibilities
- Collect, clean, and analyze structured and unstructured datasets using SQL and Python
- Create interactive dashboards and visualizations using Tableau and Power BI
- Support ad-hoc reporting requests by extracting, transforming, and presenting data
- Identify trends and anomalies in business performance metrics
- Collaborate with cross-functional teams to define analytical requirements
- Document data processes and maintain data quality standards
- Present findings to stakeholders through clear, data-driven narratives
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- Proficiency in SQL for data extraction and manipulation
- Experience with data visualization tools (Tableau/Power BI preferred)
- Basic knowledge of Python or R for data analysis
- Strong attention to detail with ability to work with large datasets
- Excellent written and verbal communication skills
- Ability to translate technical concepts for non-technical audiences
- Proactive problem-solving approach with curiosity about data patterns