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Senior Data Analyst

InnovateData Analytics
Philadelphia
Estimated Salary
USD 85.000 – USD 115.000
Live Update
14 Agustus 2026
Deadline
14 Agu 2027

Job Description

Join InnovateData Analytics as a Senior Data Analyst and transform complex datasets into actionable business insights. We're a fast-growing data intelligence firm dedicated to empowering Fortune 500 companies with predictive analytics solutions. In this pivotal role, you'll collaborate with cross-functional teams to drive data-driven decision-making across finance, marketing, and operations. Our Philadelphia headquarters offers a dynamic, collaborative environment with cutting-edge technology and flexible work arrangements. Help us shape the future of business intelligence while advancing your career in one of America's most innovative tech hubs.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Create interactive dashboards and visualizations using Tableau and Power BI for executive stakeholders
  • Perform statistical analysis and A/B testing to optimize marketing campaigns and product features
  • Develop predictive models using machine learning techniques to forecast market trends and customer behavior
  • Translate complex data findings into actionable business recommendations for C-suite executives
  • Maintain data integrity through rigorous quality control and documentation practices
  • Lead ad-hoc analytical projects to support strategic business initiatives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 5+ years of professional experience in data analysis or business intelligence roles
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis tools
  • Proven experience with data visualization tools (Tableau, Power BI, Looker)
  • Strong understanding of machine learning algorithms and predictive modeling techniques
  • Excellent communication skills with ability to present complex data to non-technical audiences
  • Experience working with large datasets in cloud environments (AWS, GCP, or Azure)
  • Portfolio demonstrating data-driven projects with measurable business impact

Required Skills

SQL Python Tableau Power BI AWS Machine Learning Statistical Analysis Data Visualization Predictive Modeling

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