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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay in Pennsylvania

DataDriven Solutions Inc.
Philadelphia
Estimated Salary
USD 70.000 – USD 90.000
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Join DataDriven Solutions Inc. as a Data Analyst and enjoy the rare benefit of weekly pay! We're seeking a detail-oriented professional to transform complex datasets into actionable business insights. Our Philadelphia-based team offers a collaborative environment where your analytical skills directly impact strategic decisions. With competitive compensation, comprehensive benefits, and consistent weekly paychecks, this role combines financial stability with career growth. If you thrive in data-driven environments and value timely compensation, apply now to become an integral part of our innovation-driven culture.

Responsibilities

  • Analyze large datasets using SQL, Python, and statistical tools to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Collaborate with cross-functional teams to define data requirements and deliver actionable reports
  • Develop automated data pipelines to improve reporting efficiency
  • Present findings to stakeholders through clear, compelling narratives
  • Ensure data integrity through rigorous validation and quality checks
  • Support A/B testing initiatives and measure campaign performance

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 visualization tools
  • Strong understanding of statistical analysis and experimental design
  • Experience with ETL processes and data warehousing concepts
  • Excellent communication skills with ability to translate technical insights
  • Attention to detail with proven problem-solving abilities
  • Experience working with large datasets in cloud environments (AWS/GCP)

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing AWS Google Cloud

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