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Senior Data Analyst - Philadelphia, PA

Apex Analytics Solutions
Philadelphia
Estimated Salary
USD 75.000 – USD 95.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Are you a data storyteller? Join Apex Analytics Solutions in the heart of Philadelphia and help us turn raw numbers into strategic gold. We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our innovative team.

In this role, you will bridge the gap between complex data and business strategy. You will own the end-to-end data lifecycle, ensuring our stakeholders have the actionable insights needed to stay ahead of the competition.

Why join us? We offer a competitive benefits package, a collaborative work culture, and the opportunity to work on high-impact projects that shape the future of our industry.

Key Responsibilities:

  • Design, develop, and maintain complex dashboards and visualizations using tools like Tableau, Power BI, or Looker to track KPIs and business metrics.
  • Collect, clean, and preprocess large, complex datasets from various sources to ensure data integrity and accuracy.
  • Perform advanced statistical analysis and predictive modeling to identify trends, patterns, and opportunities for business optimization.
  • Collaborate closely with cross-functional teams, including marketing, finance, and operations, to translate business questions into analytical problems.
  • Automate reporting processes to increase efficiency and reduce manual workload for the team.
  • Present findings and actionable insights to executive leadership through clear, compelling presentations and reports.

Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field (Master’s degree preferred).
  • Minimum of 4-6 years of professional experience in data analysis or business intelligence.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Expert level experience with data visualization tools (Tableau, Power BI, or Looker).
  • Programming skills in Python or R are highly desired.
  • Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
  • Experience with data warehousing concepts (e.g., Snowflake, BigQuery) is a plus.

Responsibilities

  • Design, develop, and maintain complex dashboards and visualizations using tools like Tableau, Power BI, or Looker to track KPIs and business metrics.
  • Collect, clean, and preprocess large, complex datasets from various sources to ensure data integrity and accuracy.
  • Perform advanced statistical analysis and predictive modeling to identify trends, patterns, and opportunities for business optimization.
  • Collaborate closely with cross-functional teams, including marketing, finance, and operations, to translate business questions into analytical problems.
  • Automate reporting processes to increase efficiency and reduce manual workload for the team.
  • Present findings and actionable insights to executive leadership through clear, compelling presentations and reports.

Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field (Master’s degree preferred).
  • Minimum of 4-6 years of professional experience in data analysis or business intelligence.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Expert level experience with data visualization tools (Tableau, Power BI, or Looker).
  • Programming skills in Python or R are highly desired.
  • Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
  • Experience with data warehousing concepts (e.g., Snowflake, BigQuery) is a plus.

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Business Intelligence Excel R

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