Job Description
Are you ready to accelerate your career with a top-tier team?
Apex Data Solutions is urgently seeking a Data Analyst (Weekend Shift) to join our dynamic workforce in Charlotte, NC. We value precision, data-driven decision-making, and a flexible work-life balance. This role offers a unique opportunity to work on high-impact projects with the flexibility of remote options.
In this position, you will be the bridge between complex data sets and actionable business strategies, ensuring our weekend operations run seamlessly.
Why Join Us?
- Competitive salary package ($65k - $85k).
- Flexible Remote Options available.
- Weekend shift premium incentives.
- Professional development and growth opportunities.
Don't miss this urgent opportunity to secure your spot in a growing industry. Apply today!
Responsibilities
- Data Processing: Extract, clean, and interpret large datasets from various sources to support weekend operational reporting.
- Visualization: Create clear, concise, and interactive dashboards (Tableau/PowerBI) to visualize key performance indicators (KPIs).
- Reporting: Generate accurate weekly and monthly analytical reports for stakeholders, highlighting trends and anomalies.
- Collaboration: Partner with cross-functional teams to identify data needs and optimize business processes.
- Maintenance: Monitor data pipelines and ensure data integrity and accuracy during off-peak hours.
- Strategy: Develop data models to forecast trends and assist in strategic weekend planning.
Qualifications
- Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 2+ years of professional experience in data analysis or a related role.
- Technical Skills: Proficiency in SQL, Python, or R; experience with ETL processes.
- Tools: Strong working knowledge of data visualization tools (Tableau, PowerBI, or Looker).
- Schedule: Must be available to work Weekend Shifts (Saturday/Sunday).
- Communication: Excellent written and verbal communication skills with the ability to explain complex data to non-technical audiences.