Job Description
Immediate Opening for Data Analyst in Colorado Springs! Join our dynamic team at Mountain Analytics Group where data drives innovation. We're seeking a detail-oriented Data Analyst to transform complex datasets into actionable insights that fuel strategic decisions. This urgent full-time role offers competitive compensation, comprehensive benefits, and the opportunity to make an immediate impact in our growing tech hub.
Located in the vibrant heart of Colorado Springs, you'll collaborate with cross-functional teams to solve real-world business challenges through advanced analytics. Our culture values curiosity, collaboration, and continuous learning. If you're passionate about uncovering stories in data and thrive in fast-paced environments, we encourage you to apply today!
Responsibilities
- Analyze complex datasets using SQL, Python, and statistical tools to identify trends and opportunities
- Create compelling data visualizations and dashboards using Tableau/Power BI for executive stakeholders
- Collaborate with product and marketing teams to define KPIs and track performance metrics
- Develop automated reporting systems to improve data accessibility and decision-making speed
- Present findings to leadership through clear, concise narratives with actionable recommendations
- Maintain data integrity through rigorous validation protocols and documentation
- Support A/B testing initiatives and statistical analysis for product optimization
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with proven track record
- Expert proficiency in SQL and at least one programming language (Python/R preferred)
- Advanced skills in data visualization tools (Tableau/Power BI/Excel)
- Strong statistical analysis and hypothesis testing capabilities
- Experience with ETL processes and data warehousing concepts
- Excellent communication skills translating technical insights to non-technical audiences
- Ability to manage multiple priorities in deadline-driven environments