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Information Technology 🏢 Full Time ⭐️ Verified

Weekend Data Analyst (Remote PA & VA)

Apex Data Innovations
Philadelphia, PA
Estimated Salary
USD 85.000 – USD 115.000
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Are you a data-driven professional seeking a unique work-life balance with a top-tier technology firm? Apex Data Innovations is looking for a highly skilled Weekend Data Analyst to join our elite team. This is a rare opportunity to work with cutting-edge analytics tools while enjoying the flexibility of a weekend schedule. We are actively recruiting talent based in Philadelphia, PA, with the ability to work remotely in Virginia and beyond.

As a Weekend Data Analyst, you will play a pivotal role in our mission to deliver actionable insights to our enterprise clients. You will be responsible for cleaning, processing, and interpreting large datasets, ensuring our reporting infrastructure remains robust even during off-peak hours. If you are an analytical thinker who thrives in a modern, fast-paced environment, we want to hear from you.

Responsibilities

  • Analyze Complex Datasets: Extract, clean, and transform large volumes of data to identify trends, patterns, and anomalies using SQL and Python.
  • Dashboard Creation: Design and maintain interactive data visualizations in Tableau and Power BI to support weekend reporting cycles.
  • Statistical Modeling: Perform advanced statistical analysis to support business forecasting and strategic decision-making.
  • Automated Reporting: Develop automated scripts to streamline data collection processes and reduce manual errors.
  • Stakeholder Collaboration: Partner with product and engineering teams to define data requirements and present findings in a clear, professional manner.
  • Data Quality Assurance: Implement rigorous quality control measures to ensure data integrity across all weekend reports.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Experience: Minimum of 3 years of professional experience in data analysis, preferably within the tech or financial sector.
  • Technical Skills: Proficiency in SQL (PostgreSQL, MySQL), Python (Pandas, NumPy), and Excel (Advanced functions).
  • Visualization Tools: Strong experience with data visualization tools such as Tableau, Looker, or Power BI.
  • Communication: Excellent written and verbal communication skills, with the ability to explain complex data concepts to non-technical audiences.
  • Schedule: Availability to work a consistent weekend schedule (e.g., Saturday and Sunday) is mandatory.

Required Skills

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

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