Job Description
Join our dynamic team as a Data Analyst with flexible weekend shifts and remote work options! At Insight Analytics Group, we empower data-driven decisions for Fortune 500 clients across healthcare, finance, and retail sectors. This hybrid role combines on-site collaboration in Houston with remote flexibility, allowing you to leverage cutting-edge tools while maintaining work-life balance. You'll transform complex datasets into actionable insights that drive strategic growth and operational excellence.
Why Join Us? Competitive compensation, comprehensive benefits package, professional development stipends, and a culture that values innovation and work-life integration. Perfect for analytical minds seeking weekend flexibility without sacrificing career growth.
Responsibilities
- Analyze and interpret complex datasets to identify trends, patterns, and business opportunities using SQL, Python, and advanced Excel techniques
- Create compelling data visualizations and dashboards using Tableau and Power BI to communicate insights to stakeholders
- Collaborate with cross-functional teams to define business requirements and deliver data-driven solutions
- Develop and maintain automated data pipelines for weekend operations ensuring data integrity and quality
- Present findings to senior leadership through concise, actionable reports and presentations
- Monitor KPIs and performance metrics to drive continuous improvement in data processes
- Support ad-hoc analysis projects for weekend operations and special initiatives
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in data analysis with proven weekend shift or remote work history
- Expert proficiency in SQL, Python (Pandas, NumPy), and advanced Excel functions
- Strong experience with data visualization tools (Tableau, Power BI, or D3.js)
- Deep understanding of statistical analysis methodologies and hypothesis testing
- Ability to work independently with minimal supervision during weekend shifts
- Excellent communication skills with ability to translate technical insights for non-technical stakeholders
- Experience with ETL processes and cloud platforms (AWS, Azure, or GCP)