Job Description
Are you a data-driven professional looking for a flexible work-life balance? Urban Data Solutions is seeking a detail-oriented Part-Time Data Analyst to join our innovative team in Philadelphia, PA. In this pivotal role, you will transform complex datasets into clear, actionable insights that drive business growth. We value adaptability and analytical rigor, offering a contract structure that fits your schedule.
Why Join Us?
- Flexible Part-Time Schedule (20-25 hours/week)
- Remote/Hybrid options available within the Philadelphia metro area.
- Work with cutting-edge BI tools and real-world datasets.
Responsibilities:
- Collect, clean, and validate large sets of data to ensure accuracy and integrity.
- Develop and maintain interactive dashboards using Tableau or PowerBI to visualize key performance indicators (KPIs).
- Perform statistical analysis to identify trends, patterns, and opportunities for process improvement.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Generate comprehensive reports and presentations for stakeholders to support decision-making.
- Monitor data pipelines and troubleshoot any anomalies in data collection.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Finance, or a related field.
- Proven experience with SQL for data extraction and manipulation.
- Proficiency in data visualization tools (e.g., Tableau, PowerBI, or Looker).
- Strong proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, Macros).
- Excellent analytical thinking and problem-solving skills.
- Strong verbal and written communication skills to convey technical findings to non-technical audiences.
Responsibilities
- Collect, clean, and validate large sets of data to ensure accuracy and integrity.
- Develop and maintain interactive dashboards using Tableau or PowerBI to visualize key performance indicators (KPIs).
- Perform statistical analysis to identify trends, patterns, and opportunities for process improvement.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Generate comprehensive reports and presentations for stakeholders to support decision-making.
- Monitor data pipelines and troubleshoot any anomalies in data collection.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Finance, or a related field.
- Proven experience with SQL for data extraction and manipulation.
- Proficiency in data visualization tools (e.g., Tableau, PowerBI, or Looker).
- Strong proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, Macros).
- Excellent analytical thinking and problem-solving skills.
- Strong verbal and written communication skills to convey technical findings to non-technical audiences.