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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - New York

Nexus Data Systems
New York
Estimated Salary
USD 85.000 – USD 120.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join the elite team at Nexus Data Systems, a leader in high-frequency data analytics and fintech solutions. We are looking for a sharp, analytical-minded Data Analyst to join our weekend operations division. This is a high-impact role where you will drive key business decisions by uncovering hidden trends in our massive datasets.

As a Weekend Shift Analyst, you will be the first line of defense in identifying market anomalies and optimizing our reporting infrastructure. If you thrive in a fast-paced environment and want to work with top-tier tech stacks, we want to meet you.

Responsibilities

  • Execute complex data queries and statistical analysis on large-scale datasets to support weekend business intelligence needs.
  • Design and maintain dynamic dashboards using Tableau and PowerBI to visualize key performance indicators (KPIs).
  • Collaborate with the Product and Engineering teams to troubleshoot data integrity issues and improve reporting pipelines.
  • Automate manual reporting processes to increase efficiency and reduce operational overhead during off-peak hours.
  • Identify emerging trends and provide actionable insights to senior leadership to drive strategic planning.
  • Ensure all data models are scalable, accurate, and compliant with company security protocols.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 3+ years of professional experience as a Data Analyst, preferably within the Tech or Finance sector.
  • Advanced proficiency in SQL for querying and data manipulation.
  • Strong working knowledge of Python or R for data analysis and scripting.
  • Proven experience creating interactive visualizations in Tableau or PowerBI.
  • Excellent written and verbal communication skills with the ability to translate complex data into business-friendly insights.

Required Skills

SQL Python Tableau PowerBI Data Analysis Excel Statistics Data Visualization

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