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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Night Shift)

TechNova Analytics
Philadelphia
Estimated Salary
USD 75.000 – USD 95.000
Live Update
11 Agustus 2026
Deadline
11 Agu 2027

Job Description

Join TechNova Analytics as a Night Shift Data Analyst and transform raw data into strategic business intelligence. We're a cutting-edge tech firm revolutionizing data-driven decision-making, and we need your expertise to power our 24/7 operations. In this critical role, you'll work during evening hours analyzing complex datasets, uncovering hidden patterns, and delivering actionable insights that drive our global initiatives. If you thrive in dynamic environments and want to make an immediate impact, this is your opportunity to join a top-tier team shaping the future of data science.

Responsibilities

  • Analyze and interpret large-scale datasets to identify trends, anomalies, and business opportunities
  • Develop automated reporting dashboards using SQL, Python, and visualization tools
  • Collaborate with cross-functional teams to translate data findings into actionable strategies
  • Monitor data quality and implement robust validation protocols
  • Create compelling data narratives for executive stakeholders
  • Optimize data pipelines for real-time processing efficiency
  • Stay ahead of emerging analytics methodologies and tools

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of hands-on data analysis experience with night shift or rotational schedules
  • Expert proficiency in SQL, Python (Pandas, NumPy), and R
  • Advanced knowledge of data visualization tools (Tableau, Power BI, Looker)
  • Strong statistical modeling and hypothesis testing skills
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Exceptional problem-solving abilities with attention to detail
  • Excellent written and verbal communication skills

Required Skills

SQL Python R Tableau Power BI AWS Data Visualization Statistical Analysis ETL Machine Learning

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