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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Weekly Pay

TechNova Solutions
Philadelphia
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
11 September 2026
Deadline
11 Sep 2027

Job Description

Join TechNova Solutions, a leading innovator in data-driven technology, as a Senior Data Analyst in Philadelphia. We're revolutionizing how businesses leverage data insights, and we need your expertise to drive our mission. Enjoy weekly pay, competitive benefits, and a dynamic work environment where your analytical skills directly impact our growth.

Why TechNova?
• Industry-leading weekly pay schedule
• Cutting-edge technology stack
• Collaborative culture with top-tier talent
• Professional development opportunities
• Comprehensive benefits package including 401K match

Responsibilities

  • Design and implement robust data pipelines using SQL, Python, and cloud platforms
  • Translate complex business questions into actionable data insights
  • Create interactive dashboards using Tableau/Power BI for executive stakeholders
  • Conduct A/B testing and statistical analysis to optimize product strategies
  • Collaborate with cross-functional teams to define KPIs and reporting frameworks
  • Maintain data integrity through quality assurance and validation protocols
  • Present findings to leadership with clear, compelling visual narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Strong experience with data visualization tools (Tableau, Power BI, Looker)
  • Proven ability to translate business requirements into technical solutions
  • Experience with cloud platforms (AWS, GCP, Azure) preferred
  • Excellent communication skills with ability to articulate complex concepts
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis AWS Data Pipeline Business Intelligence

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