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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst (Weekend Shift) - Equity Options

Detroit Data Innovations
Detroit
Estimated Salary
USD 85.000 – USD 110.000
Live Update
3 September 2026
Deadline
3 Sep 2027

Job Description

Join our dynamic team at Detroit Data Innovations as a Data Analyst on a weekend shift! We're urgently seeking a detail-oriented professional to transform raw data into actionable insights. Enjoy competitive compensation, comprehensive benefits, and equity options as part of our commitment to your long-term success. This remote-friendly role offers flexible weekend hours (Sat-Sun 6AM-2PM EST) while collaborating with cross-functional teams to drive data-driven decision-making.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create interactive dashboards and reports in Tableau/Power BI for executive stakeholders
  • Develop predictive models to optimize business operations and customer experiences
  • Collaborate with engineering teams to implement data pipeline improvements
  • Present findings to leadership through compelling visualizations and narratives
  • Maintain data integrity across multiple platforms and ensure regulatory compliance
  • Mentor junior analysts and champion data literacy initiatives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with weekend shift flexibility
  • Expert proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and hypothesis testing capabilities
  • Experience with cloud platforms (AWS/GCP/Azure) and ETL processes
  • Excellent communication skills with ability to translate technical concepts
  • Portfolio demonstrating data-driven projects with measurable impact

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel AWS Predictive Modeling Data Pipelines

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