Job Description
Are you a detail-oriented data enthusiast looking for a role that offers the perfect work-life balance? Apex Analytics Solutions is seeking a skilled Data Analyst to join our thriving team in Raleigh, NC. This is a unique opportunity to specialize in weekend operations, providing you with the stability of a full-time role while freeing up your weekdays for personal commitments.
In this position, you will dive deep into complex datasets, uncovering actionable insights that drive strategic decision-making across the organization. You will work closely with cross-functional teams to bridge the gap between raw data and business strategy.
Why Join Us?
- Flexible Schedule: Enjoy your weekends off! Perfect for work-life balance.
- Modern Tech Stack: Work with the latest tools in SQL, Python, and Tableau.
- Professional Growth: Access to ongoing training and career advancement opportunities.
- Competitive Pay: Comprehensive benefits package including health, dental, and 401k.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and key performance indicators (KPIs) for weekend operations.
- Develop and maintain interactive dashboards using Tableau and PowerBI to visualize data trends.
- Collaborate with marketing and sales teams to support data-driven decision-making processes.
- Perform rigorous data cleaning, validation, and ETL processes to ensure data integrity.
- Create comprehensive monthly and quarterly reports for executive stakeholders.
- Write optimized SQL queries to extract data from various databases and sources.
- Document data analysis processes and methodologies for future reference.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 3+ years of professional experience as a Data Analyst.
- Strong proficiency in SQL (PostgreSQL, MySQL) and scripting languages like Python or R.
- Experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Excellent verbal and written communication skills to present findings to non-technical audiences.
- Ability to work independently during the weekend shift and manage time effectively.
- Attention to detail and strong problem-solving skills.