Job Description
Are you a detail-oriented analyst looking for a flexible schedule? We are urgently seeking a talented Data Analyst to join our night shift team in Columbus, Virginia. This is a unique opportunity to drive critical business insights with zero commute, offering the perfect work-life balance for night owls.
Why Join Us?
- Hybrid and Remote Options available.
- Night shift schedule for optimal productivity.
- Competitive salary and comprehensive benefits package.
- Opportunity to work with cutting-edge data technologies.
We are looking for a strategic thinker who can transform raw data into actionable business intelligence. If you thrive in a fast-paced environment and want to make a tangible impact, apply today!
Responsibilities
- Data Management: Extract, clean, and transform large datasets from various sources using SQL and Python to ensure data accuracy and integrity.
- Visualization: Design and maintain interactive dashboards in Tableau and PowerBI to visualize key performance indicators (KPIs) for stakeholders.
- Trend Analysis: Identify trends, patterns, and anomalies in data to support strategic decision-making and process optimization.
- Reporting: Prepare detailed, ad-hoc reports and presentations for management, highlighting critical insights and recommendations.
- Collaboration: Partner with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Database Maintenance: Monitor data pipelines and troubleshoot issues to ensure 99.9% system uptime.
Qualifications
- Experience: 3+ years of professional experience in data analysis or a related field.
- Technical Skills: Proficiency in SQL (advanced querying), Python (Pandas, NumPy), and Excel.
- Tools: Strong experience with data visualization tools (Tableau, PowerBI, or Looker).
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
- Soft Skills: Excellent problem-solving skills, attention to detail, and the ability to communicate complex data findings to non-technical audiences.
- Schedule: Must be available and willing to work night shifts (e.g., 10 PM - 6 AM).