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Senior Data Analyst (Remote/Hybrid) - Philadelphia, PA

Apex Analytics Partners
Philadelphia
Estimated Salary
USD 85.000 – USD 115.000
New
Live Update
9 September 2026
Deadline
9 Sep 2027

Job Description

Join the Future of Data-Driven Decision Making

Apex Analytics Partners is seeking a highly analytical and detail-oriented Senior Data Analyst to join our dynamic team in Philadelphia, PA. We pride ourselves on delivering actionable insights that drive business growth. This role offers the flexibility of remote work options combined with a collaborative office environment, allowing you to work from anywhere while being part of a world-class team.

As a Senior Data Analyst, you will bridge the gap between complex data sets and strategic business objectives. You will own the end-to-end data analysis lifecycle, from data modeling and cleaning to the creation of executive dashboards that stakeholders rely on daily.

Why Join Us?

  • Remote Options: Enjoy the flexibility of working from home with periodic in-office collaboration.
  • Competitive Compensation: Salary range of $85,000 - $115,000 depending on experience.
  • Career Growth: Work with cutting-edge tools and technologies in a supportive environment.

Responsibilities

  • Design, develop, and maintain complex data models and ETL pipelines to support business intelligence requirements.
  • Transform raw data into clear, actionable insights and visualizations using Tableau, Power BI, or Looker.
  • Collaborate with cross-functional stakeholders (Marketing, Finance, Operations) to identify key performance indicators (KPIs) and reporting needs.
  • Conduct deep-dive statistical analysis to support A/B testing, market research, and strategic planning.
  • Ensure data accuracy, integrity, and consistency across all reporting systems.
  • Produce regular performance reports and executive summaries for leadership.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
  • 5+ years of professional experience as a Data Analyst or Business Intelligence Developer.
  • Strong proficiency in SQL (PostgreSQL, MySQL, or Snowflake) for data extraction and manipulation.
  • Expert level skills in data visualization tools (Tableau or Power BI).
  • Experience with Python or R for advanced data analysis and scripting.
  • Excellent problem-solving skills and the ability to communicate complex data concepts to non-technical audiences.

Required Skills

SQL Python Tableau Power BI Excel Statistics ETL Data Modeling Data Visualization SAS R

Ready to Take This Challenge?

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