Job Description
Join our dynamic team at Mountain Insights Analytics as a Data Analyst and transform raw data into actionable business intelligence. We're urgently seeking a detail-oriented professional to drive data-driven decision-making in our Colorado Springs headquarters. This role offers the opportunity to work with cutting-edge technologies in a collaborative environment where your insights will directly impact strategic initiatives.
Our ideal candidate thrives in fast-paced settings and possesses a passion for uncovering hidden patterns in complex datasets. You'll collaborate with cross-functional teams to deliver compelling visualizations and reports that empower leadership to make informed decisions. If you're ready to accelerate your career while solving real-world business challenges, apply today!
Responsibilities
- Design and implement automated data pipelines to ensure seamless data flow across systems
- Develop interactive dashboards using Tableau/Power BI to visualize KPIs and performance metrics
- Conduct ad-hoc statistical analysis to identify trends and anomalies in customer behavior data
- Collaborate with stakeholders to define analytical requirements and deliver actionable insights
- Maintain data quality through rigorous validation protocols and documentation practices
- Present findings to executive leadership through clear, concise data narratives
- Optimize database queries and ETL processes to enhance data processing efficiency
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- 3+ years of professional data analysis experience with SQL proficiency
- Expert knowledge of data visualization tools (Tableau/Power BI)
- Strong statistical modeling skills (regression, hypothesis testing, forecasting)
- Experience with Python (Pandas, NumPy) or R for data manipulation
- Proven ability to translate complex data into business recommendations
- Excellent communication skills with ability to present to non-technical audiences
- Familiarity with cloud data platforms (AWS, Azure, or GCP)