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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Philly Data Insights
Philadelphia, PA
Estimated Salary
USD 75.000 – USD 110.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join a Dynamic Team in the Heart of Philadelphia

We are seeking a highly skilled Senior Data Analyst to join our innovative team in Philadelphia, PA. In this role, you will leverage data to drive strategic business decisions, optimize operations, and uncover growth opportunities. You will work in a collaborative environment that values curiosity, analytical rigor, and impactful storytelling.

As a Senior Data Analyst, you will act as a bridge between technical data science teams and business stakeholders, translating complex datasets into clear, actionable insights.

Responsibilities

  • Conduct Deep Data Analysis: Utilize advanced statistical methods and data modeling to interpret complex datasets and identify trends, patterns, and anomalies.
  • Develop Interactive Dashboards: Create compelling visualizations and dashboards using tools like Tableau or PowerBI to monitor key performance indicators (KPIs) in real-time.
  • SQL & Data Extraction: Write optimized SQL queries to extract, clean, and transform data from various sources, ensuring data integrity and accuracy.
  • Statistical Modeling: Build predictive models to forecast business outcomes and support strategic planning initiatives.
  • Stakeholder Collaboration: Partner with product managers, marketing teams, and executives to define metrics and deliver data-driven recommendations.
  • Process Improvement: Identify gaps in current data reporting processes and propose innovative solutions to enhance data accessibility and efficiency.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field; Master’s degree is a plus.
  • Experience: 3+ years of professional experience in data analysis, business intelligence, or a similar role.
  • Technical Skills: Proficiency in SQL (PostgreSQL, MySQL), Python (Pandas, NumPy), and visualization tools (Tableau, PowerBI).
  • Statistical Knowledge: Strong understanding of statistical concepts, hypothesis testing, and regression analysis.
  • Communication: Exceptional ability to communicate complex findings to non-technical audiences through clear reports and presentations.
  • Attention to Detail: Demonstrated ability to ensure high data quality and accuracy in all reporting.

Required Skills

SQL Python Tableau PowerBI Statistical Analysis Data Visualization ETL A/B Testing Excel

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