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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst - Top Tech Company

Nexus Analytics
Los Angeles, CA
Estimated Salary
USD 85.000 – USD 130.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join Nexus Analytics, a leading tech innovator, as a Night Shift Data Analyst and transform raw data into strategic business intelligence. This unique opportunity allows you to work with cutting-edge analytics tools while the city sleeps, delivering critical insights that drive our product roadmap and operational excellence. Enjoy competitive compensation, flexible scheduling, and a culture that values data-driven decision-making. Your expertise will directly impact our growth trajectory while working alongside industry experts in a collaborative environment.

Responsibilities

  • Analyze large-scale datasets to identify trends, patterns, and actionable business insights
  • Develop and maintain interactive dashboards using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define data requirements and deliver custom analytics solutions
  • Implement data validation protocols to ensure accuracy and consistency across all reports
  • Optimize data pipelines and ETL processes to enhance reporting efficiency
  • Present complex findings through compelling visualizations and executive summaries
  • Stay current with emerging analytics technologies and methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Expertise in Python (Pandas, NumPy) and R for statistical modeling
  • Advanced knowledge of data visualization tools (Tableau, Power BI, Looker)
  • Experience with cloud platforms (AWS, GCP, Azure) and big data technologies
  • Strong problem-solving skills with attention to detail
  • Ability to work independently during night shift hours with minimal supervision
  • Excellent communication skills for presenting technical insights to non-technical audiences

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis AWS Big Data

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