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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

Detroit Analytics Group
Detroit
Estimated Salary
USD 65.000 – USD 85.000
Live Update
1 Agustus 2026
Deadline
1 Agu 2027

Job Description

Join Detroit Analytics Group as a Weekend Data Analyst and transform complex datasets into actionable insights that drive business growth. This unique weekend shift opportunity allows you to work in a collaborative environment while Detroit thrives with weekend energy. You'll be pivotal in our mission to optimize operations through data-driven decision-making, working with cutting-edge tools to solve real-world challenges.

As a key member of our analytics team, you'll enjoy competitive compensation, comprehensive benefits, and the flexibility of a weekend schedule. If you're passionate about uncovering hidden patterns in data and making an impact, this role is your perfect match.

Responsibilities

  • Analyze and interpret complex datasets to identify trends, anomalies, and opportunities for business optimization
  • Create automated reporting dashboards using SQL, Python, and Tableau for weekend operational oversight
  • Collaborate with cross-functional teams to translate data findings into actionable strategies
  • Monitor weekend performance metrics and provide real-time insights to leadership
  • Develop data validation protocols to ensure weekend data integrity and accuracy
  • Present findings through clear visualizations and executive summaries for stakeholder reviews

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift preference
  • Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Tableau/Power BI)
  • Strong statistical analysis background with A/B testing and predictive modeling experience
  • Ability to work independently during weekend shifts while maintaining high output quality
  • Excellent communication skills for translating technical insights to non-technical stakeholders
  • Experience with ETL processes and data warehouse environments (Snowflake preferred)

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Predictive Modeling ETL Business Intelligence

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