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Information Technology 🏢 Full Time ⭐️ Verified

Weekend Data Analyst

DataFlow Solutions
Charlotte
Estimated Salary
USD 70.000 – USD 90.000
New
Live Update
5 Mei 2026
Deadline
5 Mei 2027

Job Description

Join our innovative analytics team as a Weekend Data Analyst and transform raw data into actionable business insights. This unique weekend shift opportunity allows you to work during peak data processing windows while maintaining work-life balance. You'll collaborate with cross-functional teams to drive data-driven decision-making and support our clients' growth strategies.

Our ideal candidate thrives in fast-paced environments and possesses exceptional analytical skills. You'll work with cutting-edge technologies in a collaborative setting where your contributions directly impact business outcomes. We offer competitive compensation, comprehensive benefits, and opportunities for professional growth.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies
  • Create and maintain automated data pipelines for weekend processing cycles
  • Develop interactive dashboards and visualizations using Tableau/Power BI
  • Generate weekly performance reports for executive stakeholders
  • Collaborate with business units to define analytical requirements
  • Ensure data integrity through rigorous quality checks and validation
  • Present findings to leadership teams with actionable recommendations

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 R
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving skills
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Ability to work independently during weekend shifts (Sat-Sun 6am-2pm)
  • Excellent communication skills with technical and non-technical audiences

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS R Data Pipelines Business Intelligence

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