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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Night Shift)

NexusTech Solutions
Kansas City
Estimated Salary
USD 85.000 – USD 110.000
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join NexusTech Solutions, a leading innovator in data-driven technology, for an urgent night shift Data Analyst opportunity in Kansas City, MO. As a key member of our analytics team, you'll transform complex datasets into actionable insights that drive strategic decisions. This role offers remote flexibility with on-site collaboration and includes premium benefits, performance bonuses, and career growth opportunities. If you thrive in dynamic environments and possess a passion for uncovering hidden patterns, this is your chance to excel with top-tier technology and a collaborative team.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive reporting
  • Develop automated reporting systems to monitor KPIs and operational metrics
  • Collaborate with cross-functional teams to define data requirements and deliver actionable insights
  • Ensure data integrity through rigorous validation and quality control processes
  • Present findings to stakeholders through clear, concise documentation and presentations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with SQL proficiency
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and predictive modeling experience
  • Proven ability to work independently during night shift hours
  • Excellent communication skills with the ability to translate technical insights for non-technical audiences
  • Familiarity with cloud platforms (AWS/GCP) and ETL processes

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization ETL Processes AWS Predictive Modeling

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