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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Solutions Inc.
Philadelphia
Estimated Salary
USD 28 – USD 40
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join DataDriven Solutions Inc. as a Weekend Data Analyst and transform raw data into actionable insights! We're seeking a detail-oriented professional to support our business intelligence operations during weekend shifts (Saturday/Sunday). This hybrid role offers flexible scheduling while working with cutting-edge analytics tools to drive strategic decisions.

Our ideal candidate thrives in fast-paced environments and possesses strong problem-solving skills. You'll collaborate with cross-functional teams to deliver data-driven recommendations that optimize operations and enhance customer experiences. Enjoy competitive compensation, professional development opportunities, and a collaborative culture that values innovation.

Responsibilities

  • Analyze large datasets using SQL, Python, and Excel to identify trends and anomalies
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Generate weekly performance reports for stakeholders across departments
  • Monitor data quality and implement data cleansing procedures
  • Support ad-hoc analysis requests from senior leadership
  • Collaborate with IT teams to maintain database integrity
  • Present findings to non-technical audiences in clear, actionable formats

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas/Numpy), and data visualization tools
  • Strong understanding of statistical analysis and data modeling concepts
  • Experience working with large datasets and database systems
  • Excellent written and verbal communication skills
  • Ability to work independently with minimal supervision during weekend shifts
  • Proficiency in Microsoft Office Suite (Excel, PowerPoint)

Required Skills

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

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