Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Weekend Shift Data Analyst

NexusTech Analytics
New York
Estimated Salary
USD 85.000 – USD 120.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

Join NexusTech Analytics, a leader in enterprise data solutions, as a Weekend Shift Data Analyst. This role is perfect for professionals who thrive in dynamic environments and prefer weekend schedules. You'll transform complex datasets into actionable insights, driving strategic decisions for Fortune 500 clients. Enjoy competitive compensation, flexible scheduling, and opportunities to work with cutting-edge technologies in our state-of-the-art NYC facility. Apply now to become part of a team that's shaping the future of data-driven business intelligence.

Responsibilities

  • Analyze and interpret complex datasets to identify trends, patterns, and anomalies
  • Develop and maintain automated reporting dashboards using SQL, Python, and Tableau
  • Collaborate with cross-functional teams to define data requirements and deliverables
  • Create detailed data visualizations and presentations for executive stakeholders
  • Ensure data integrity through rigorous validation and quality control processes
  • Optimize data collection methods to improve efficiency and accuracy
  • Stay current with industry trends and emerging analytical technologies

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 visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving skills
  • Experience with ETL processes and data warehousing concepts
  • Ability to work independently and manage time effectively in a weekend shift
  • Excellent communication skills with the ability to translate technical insights for non-technical audiences

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis ETL Business Intelligence Data Mining

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All