Job Description
Are you a detail-oriented Data Analyst looking for a flexible, remote opportunity? Apex Data Systems is urgently hiring for a dedicated Weekend Shift Data Analyst to join our dynamic team in Phoenix, AZ.
We are seeking a skilled professional who thrives in a fast-paced environment and can provide critical insights during off-peak hours. This is a fully remote position offering a competitive salary and relocation assistance for the right candidate.
Why Join Us?
- 100% Remote Work: Work from the comfort of your home in Phoenix or anywhere in the US.
- Weekend Flexibility: Enjoy a great work-life balance with our structured weekend shift schedule.
- Relocation Support: We provide assistance to help you move to Phoenix for the role.
- Competitive Compensation: Annual salary ranging from $65k to $90k depending on experience.
Apply today to become part of a team that drives innovation and data excellence!
Responsibilities
- Analyze complex datasets to identify trends, patterns, and actionable insights for business stakeholders.
- Prepare and present weekly and monthly performance reports, focusing on weekend metrics.
- Collaborate with cross-functional teams to optimize data collection and storage processes.
- Develop and maintain interactive dashboards using tools like Tableau or PowerBI.
- Ensure data accuracy, integrity, and security across all reporting systems.
- Perform data cleaning and transformation tasks to support ad-hoc analysis requests.
- Assist in the migration and integration of legacy data systems.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- Minimum of 2 years of professional experience as a Data Analyst.
- Proficiency in SQL for querying and manipulating databases.
- Strong skills in data visualization tools (Tableau, PowerBI, or Looker).
- Experience with Python or R for data analysis is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently during the weekend shift while maintaining high productivity.