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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

DataInsights Corp
El Paso
Estimated Salary
USD 55.000 – USD 75.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Join DataInsights Corp as a Weekend Data Analyst and transform raw data into actionable insights while enjoying a balanced work-life schedule. This full-time weekend shift position offers the opportunity to work in a dynamic environment where your analytical skills directly impact business decisions. You'll collaborate with cross-functional teams to identify trends, optimize processes, and drive strategic initiatives. With competitive compensation, comprehensive benefits, and a commitment to professional growth, this role is perfect for data professionals seeking flexibility without sacrificing career advancement.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to uncover business trends and opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with marketing and operations teams to translate data insights into actionable strategies
  • Monitor KPIs and performance metrics, providing weekly analysis reports
  • Develop automated data pipelines to ensure data accuracy and accessibility
  • Present findings to leadership teams with clear, compelling visual narratives
  • Stay current with industry best practices and emerging data technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong experience with Excel and statistical analysis methods
  • Ability to work independently and manage multiple projects simultaneously
  • Excellent written and verbal communication skills
  • Proven ability to meet deadlines in fast-paced environments
  • Must be available to work Saturday and Sunday shifts (6:00 AM - 6:00 PM)

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel Data Mining Business Intelligence

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