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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

MetricStream Analytics
Philadelphia
Estimated Salary
USD 65.000 – USD 85.000
Live Update
10 Oktober 2026
Deadline
10 Okt 2027

Job Description

Are you a detail-oriented data enthusiast looking for a schedule that perfectly balances your work and personal life? MetricStream Analytics is seeking a talented Data Analyst to join our high-impact team on a Weekend Shift.

We offer a competitive compensation package, a collaborative environment, and the opportunity to drive business strategy through data-driven insights. If you thrive in a dynamic setting and have a passion for uncovering stories hidden within numbers, we want to hear from you.

Responsibilities

  • Data Extraction & Cleaning: Gather, clean, and transform raw data from multiple sources to ensure accuracy and integrity for analysis.
  • Dashboard Development: Build and maintain interactive dashboards (Tableau/PowerBI) to visualize key performance indicators (KPIs) for stakeholders.
  • Reporting: Generate comprehensive weekly and monthly reports, highlighting trends and anomalies to support executive decision-making.
  • Stakeholder Collaboration: Partner with cross-functional teams to define data requirements and translate complex data sets into actionable business recommendations.
  • Quality Assurance: Conduct rigorous data validation checks and optimize SQL queries for better performance.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
  • Experience: 2+ years of professional experience in data analysis or business intelligence.
  • Tech Stack: Proficiency in SQL (Advanced querying), Python (Pandas/NumPy), and visualization tools (Tableau or PowerBI).
  • Skills: Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly.
  • Availability: Must be available to work weekends (Saturday and Sunday) as part of a rotating full-time schedule.

Required Skills

SQL Python Tableau PowerBI Data Analysis Business Intelligence Excel Statistical Modeling

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