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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

TechNova Solutions
Detroit
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join TechNova Solutions as a Night Shift Data Analyst and transform raw data into actionable business intelligence. We're seeking a detail-oriented professional to support our Fortune 500 clients during overnight hours while driving data-driven decision-making. This remote-friendly hybrid role offers unparalleled growth opportunities in Detroit's thriving tech ecosystem.

Our ideal candidate thrives in fast-paced environments, possesses advanced analytical skills, and embraces cutting-edge technologies. With competitive compensation, comprehensive benefits, and a culture that values innovation, this is your chance to accelerate your career in data analytics while contributing to transformative projects.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Create compelling data visualizations and dashboards using Tableau and Power BI
  • Collaborate with cross-functional teams to deliver actionable insights during overnight shifts
  • Develop automated reporting pipelines to streamline data workflows
  • Monitor key performance indicators and provide real-time analytics support
  • Present findings to executive stakeholders through concise executive summaries

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
  • Advanced knowledge of data visualization tools (Tableau, Power BI)
  • Experience working night shift or flexible schedules preferred
  • Strong problem-solving skills with attention to detail
  • Ability to work independently and collaborate effectively during overnight hours

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing Business Intelligence

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