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Senior Data Analyst - Direct Hire - Philadelphia, PA

Urban Analytics Corp
Philadelphia
Estimated Salary
USD 85.000 – USD 115.000
Live Update
31 Juli 2026
Deadline
31 Jul 2027

Job Description

Are you a data-driven problem solver looking to make a significant impact in the heart of Philadelphia? Urban Analytics Corp is seeking a talented Senior Data Analyst to join our growing team.

We are a forward-thinking organization dedicated to leveraging data to drive business intelligence and strategic decision-making. In this Direct Hire role, you will have the autonomy to own key data projects and transform raw information into actionable insights for stakeholders across the enterprise.

Why Join Us?

  • Competitive Compensation: Base salary ranging from $85,000 to $115,000.
  • Comprehensive Benefits: Premium health, dental, vision, and 401(k) matching.
  • Hybrid Work Model: Enjoy the flexibility of working from home and our modern downtown office.
  • Career Growth: Clear pathways for advancement within a fast-paced tech environment.

Responsibilities

  • Design, develop, and maintain complex ETL pipelines and data warehouses to support business reporting.
  • Create interactive dashboards and visualizations in Tableau and Power BI to monitor key performance indicators (KPIs).
  • Conduct deep-dive statistical analysis to uncover trends, patterns, and anomalies in large datasets.
  • Collaborate with cross-functional teams (Marketing, Sales, Operations) to define data requirements and solve business problems.
  • Ensure data quality, accuracy, and integrity through rigorous testing and validation processes.
  • Communicate complex data findings to non-technical stakeholders in a clear, concise, and compelling manner.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3-5+ years of professional experience as a Data Analyst or Business Intelligence Analyst.
  • Advanced proficiency in SQL (PostgreSQL, MySQL, or Snowflake) for data extraction and manipulation.
  • Strong experience with data visualization tools such as Tableau or Power BI.
  • Proficiency in Python or R for data scripting and analysis.
  • Experience with cloud data platforms (AWS, Azure, or Google Cloud) is a plus.

Required Skills

SQL Python Tableau Power BI ETL Data Visualization Statistical Analysis Excel

Ready to Take This Challenge?

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