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Senior Data Analyst - Philadelphia, PA | Hybrid & Remote Options

Apex Data Solutions
Philadelphia
Estimated Salary
USD 85.000 – USD 110.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join a Data-Driven Leader in Philadelphia

Apex Data Solutions is seeking a highly analytical and strategic Senior Data Analyst to join our growing team. We are revolutionizing the logistics industry through data science, and we need someone who can turn raw data into actionable business intelligence. This role offers the flexibility of Remote Options alongside our Philadelphia headquarters, making it perfect for those seeking a balance of autonomy and collaboration.

In this position, you will own our data architecture strategy, mentor junior analysts, and provide executive leadership with the insights needed to drive market growth. If you are passionate about SQL, Python, and Tableau and want to make an impact in a high-growth environment, apply today.

Responsibilities

  • Data Strategy & Architecture: Design, develop, and maintain scalable data models and ETL pipelines to ensure data integrity across the organization.
  • Advanced Analytics: Conduct deep-dive statistical analysis and predictive modeling to identify trends, forecast market shifts, and solve complex business problems.
  • Visual Storytelling: Create intuitive, interactive dashboards in Tableau and PowerBI to visualize key performance indicators (KPIs) for stakeholders.
  • Collaboration: Partner with cross-functional teams (Marketing, Operations, Finance) to translate business requirements into technical data solutions.
  • Process Improvement: Identify inefficiencies in current reporting processes and implement automated solutions to streamline workflows.
  • Team Leadership: Mentor junior analysts, conduct code reviews, and foster a culture of continuous learning and data-driven decision-making.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; Master’s degree is a plus.
  • Experience: 5+ years of professional experience in data analysis, data science, or business intelligence.
  • Technical Skills: Proficiency in SQL (PostgreSQL, MySQL), Python (Pandas, NumPy), and visualization tools (Tableau, PowerBI, or Looker).
  • Communication: Exceptional ability to translate complex data findings into clear, concise, and actionable insights for non-technical audiences.
  • Problem Solving: Strong analytical thinking with a proven track record of optimizing business processes through data.
  • Remote Work: Self-motivated individual capable of managing time effectively in a remote or hybrid work environment.

Required Skills

SQL Python Tableau PowerBI Data Mining ETL Statistical Analysis Predictive Modeling Data Warehousing Agile Remote Work

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