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Data Analyst (Weekend Shift) - Detroit, MI - Equity Options

Apex Data Solutions
Detroit
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
25 September 2026
Deadline
25 Sep 2027

Job Description

Urgently Hiring: Data Analyst in Detroit, MI!

Are you a data-driven professional looking for a new challenge with equity options and flexible scheduling? Apex Data Solutions is seeking a talented Data Analyst to join our weekend operations team. You will play a critical role in deciphering complex data trends to drive business decisions during off-peak hours.

Why Join Us?

  • Equity Options: Own a piece of the company with our employee stock option plan.
  • Competitive Pay: $65,000 - $85,000 base salary.
  • Weekend Flexibility: Enjoy your weekdays free with our rotating weekend shift schedule.

We are looking for someone who is analytical, proactive, and ready to make an impact immediately.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies to support business strategy.
  • Generate detailed reports and dashboards using Tableau or Power BI to visualize key performance indicators.
  • Collaborate with the operations team to troubleshoot data discrepancies and improve data quality.
  • Maintain and update our SQL databases and scripts to ensure data integrity.
  • Forecast future performance based on historical weekend data and seasonal trends.
  • Present findings to stakeholders in a clear, concise, and actionable manner.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • 2+ years of experience as a Data Analyst or in a similar analytical role.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Python or R for data analysis is a plus.
  • Strong knowledge of data visualization tools (Tableau, Looker, or Power BI).
  • Must be available to work weekend shifts (Saturday and Sunday).
  • Excellent problem-solving skills and attention to detail.

Required Skills

SQL Python Tableau Power BI Data Analysis Data Visualization Excel Reporting

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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