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Information Technology 🏢 Full Time ⭐️ Verified

Urgent Hire: Data Analyst - Philadelphia, PA

TechNova Analytics
Philadelphia
Estimated Salary
USD 85.000 – USD 110.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Immediate Opening for Data Analyst in Philadelphia, PA! Join our dynamic team at TechNova Analytics and transform raw data into actionable business insights. This urgent hiring opportunity requires a detail-oriented professional to drive data-driven decision-making for our Fortune 500 clients. Enjoy competitive compensation, flexible work arrangements, and career growth in one of America's most vibrant tech hubs. Apply now to secure your position in this high-demand role!

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and visualization tools
  • Create compelling dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define data requirements and deliver actionable insights
  • Develop and maintain automated data pipelines to ensure data quality and accessibility
  • Present findings to leadership with clear recommendations for strategic initiatives
  • Monitor KPIs and performance metrics to track business objectives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 3+ years of experience in data analysis with proven track record of delivering insights
  • Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Tableau/Power BI)
  • Strong statistical analysis skills with experience in A/B testing and hypothesis validation
  • Excellent communication skills to translate technical findings for non-technical audiences
  • Experience working with large datasets and cloud platforms (AWS/GCP/Azure)
  • Ability to thrive in fast-paced environments with competing priorities

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis A/B Testing AWS Data Pipelines

Ready to Take This Challenge?

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