Job Description
Are you a detail-oriented data professional seeking a challenging role with flexible scheduling? Apex Data Insights is currently hiring a Data Analyst to join our night shift operations team in Philadelphia, PA. We are proud to offer Relocation Assistance for qualified candidates looking to join our high-performing workforce.
In this role, you will play a pivotal role in transforming raw data into actionable business intelligence. You will work independently during our critical night operations, ensuring our clients receive timely and accurate insights. If you are passionate about analytics and want to work in a modern, collaborative environment, we want to hear from you.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Flexible night shift schedule with premium shift differentials.
- Relocation Assistance provided for candidates outside the Philadelphia area.
- Modern office located in the heart of Center City.
Responsibilities
- Collect, clean, and interpret large datasets from various sources to identify trends and patterns.
- Develop and maintain complex SQL queries and Python scripts to automate reporting processes.
- Create interactive dashboards and visualizations using Tableau or Power BI for stakeholders.
- Analyze night shift operational data to support business decision-making and process optimization.
- Collaborate with cross-functional teams to translate data findings into actionable strategic recommendations.
- Ensure data accuracy, integrity, and compliance with internal security protocols.
- Document data models and analysis methodologies for team knowledge sharing.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 2+ years of professional experience in Data Analysis or Data Science.
- Proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) is required.
- Experience with data visualization tools such as Tableau or Power BI.
- Must be available and willing to work night shifts (e.g., 10:00 PM - 6:00 AM or 11:00 PM - 7:00 AM).
- Strong analytical skills with the ability to communicate complex data insights to non-technical audiences.