Job Description
Join InnovateData Solutions as a Weekend Shift Data Analyst and transform raw data into actionable insights from the scenic city of Colorado Springs or remotely across the US. We're seeking a detail-oriented professional to support our dynamic team during weekend hours (Friday-Sunday), offering flexible remote options while maintaining a Colorado Springs base. This role is perfect for analytical minds who thrive in flexible schedules and want to make a tangible impact.
InnovateData Solutions provides a collaborative environment with cutting-edge tools, professional development opportunities, and a culture that values work-life balance. You'll work with Fortune 500 clients across industries, solving complex business challenges through data-driven strategies.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical modeling
- Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Develop automated reporting pipelines to ensure timely data delivery and accuracy
- Present findings to leadership teams with clear, actionable recommendations
- Maintain data integrity through rigorous validation and quality control processes
- Support weekend-specific data initiatives and real-time monitoring systems
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
- 3+ years of professional data analysis experience with weekend shift exposure preferred
- Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Strong statistical analysis skills and experience with hypothesis testing
- Experience with cloud platforms (AWS, GCP, Azure) and big data technologies
- Exceptional communication skills with ability to present complex data simply
- Proven ability to work independently in remote environments
- Portfolio demonstrating impactful data-driven projects