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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Business Analyst

Nexus Analytics
Las Vegas
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Join our dynamic team at Nexus Analytics as a Night Shift Business Analyst and become the architect of data-driven decisions in the heart of Las Vegas. This unique role offers the flexibility of night shifts while working on cutting-edge projects that transform raw data into strategic insights. You'll collaborate with cross-functional teams to optimize operations, identify growth opportunities, and drive innovation in our fast-paced tech environment. With competitive compensation, comprehensive benefits, and career advancement opportunities, this position is perfect for analytical professionals seeking non-traditional hours in a thriving metropolitan hub.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable business insights
  • Collaborate with stakeholders to define project requirements and deliverables
  • Create detailed documentation including process flows, user stories, and technical specifications
  • Develop and maintain KPI dashboards to monitor performance metrics
  • Facilitate workshops and meetings to align cross-functional teams on objectives
  • Translate business needs into technical specifications for development teams
  • Conduct root cause analysis for operational inefficiencies and propose solutions

Qualifications

  • Bachelor's degree in Business, IT, Data Science, or related field
  • 3+ years of experience as a Business Analyst or similar role
  • Proficiency in SQL, Excel, and data visualization tools (Tableau/Power BI)
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with Agile/Scrum methodologies
  • Excellent communication and interpersonal skills for night shift collaboration
  • Certification (CBAP, PMI-PBA) preferred

Required Skills

SQL Tableau Power BI Agile Data Analysis Stakeholder Management Process Modeling

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