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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

TechNova Solutions
Detroit
Estimated Salary
USD 75.000 – USD 95.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Join TechNova Solutions' elite night shift analytics team and transform raw data into strategic insights that drive global tech innovation. We're seeking a meticulous Data Analyst to support our 24/7 operations center in Detroit, MI. This high-impact role offers unparalleled career growth while maintaining work-life balance through our structured night shift schedule (10 PM - 6 AM ET). Work with cutting-edge tools in a collaborative environment where your analytical expertise directly shapes product development and business strategy.

Responsibilities

  • Design and implement automated data pipelines to ensure real-time reporting accuracy
  • Analyze complex datasets using SQL, Python, and Tableau to identify emerging trends
  • Collaborate with cross-functional teams to translate business questions into analytical frameworks
  • Develop interactive dashboards for executive decision-making during night shift operations
  • Validate data integrity and troubleshoot reporting anomalies across global systems
  • Document analytical methodologies and create reusable technical documentation
  • Maintain compliance with data governance standards during off-peak operations

Qualifications

  • 3+ years of experience in data analysis with night shift or rotational schedule
  • Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools
  • Strong statistical analysis background with A/B testing experience
  • Proven track record of translating complex data into actionable business insights
  • Experience working with large-scale datasets in cloud environments (AWS/GCP)
  • Excellent problem-solving skills with attention to detail
  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis A/B Testing Cloud Platforms Data Pipeline Design

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