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Best freelance Data Analysts in Pennsylvania to hire in 2025

Looking to hire Data Analysts in Pennsylvania for your next project? Browse the world’s best freelance Data Analysts in Pennsylvania on Contra.

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David Borgaily
Reading, USA
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Data Analyst(1)
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FAQs

To assess their proficiency, look at their past projects and see if the work aligns with what you need. Check if they've worked with datasets similar to yours. Reading reviews and feedback from their previous clients can also help gauge their skills.
A good project brief should list the specific data analysis tasks you need. Include details about the data sets, the desired format for results, and any deadlines. The more detailed your brief, the better the analyst can understand your goals.
List what outputs you expect from the project, like data reports or dashboards. Set timelines so both sides know when specific tasks should be done. Make sure both parties agree on these deliverables at the start.
Communication is very important. Set regular check-ins or updates, so you know how the project is going. Clear communication helps prevent misunderstanding and keeps everyone on the same page.
Yes, understanding local laws is crucial. You should check labor laws and tax requirements in Pennsylvania. This will ensure your project complies with local regulations and avoids legal issues.
Use project management tools to track progress and deadlines. Tools like Trello or Asana help keep everything in one place. This makes it easier to collaborate and ensures you know what’s happening with your project.
Yes, software experience can be crucial depending on your project's needs. Check if they have experience with tools like Excel, Python, or R. This knowledge ensures they can handle your project’s technical aspects.
Consider the project's complexity, data privacy laws in Pennsylvania, and the analyst's availability. Clear timelines help ensure that the project stays on track. Plan for extra time in case adjustments are needed.
Make sure you have a data privacy agreement in place. You should also discuss how the data will be stored and shared. Use secure methods to transmit any sensitive information.
Work samples give you insight into their skills and style. You'll see how they solve problems and present data. This helps you gauge if they are the right fit for your project needs.
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