
Senior Data Analyst
2 weeks ago
Data Specialist
You'll collaborate with our team of experts to ensure high-quality data delivery.
Responsibilities:
Our technical specialists play a key role in ensuring timely and accurate dataset delivery. You will work closely with our team to deliver the end-to-end 'Extraction-QA-Feedback-Delivery' process. Your goal is to provide carefully curated datasets that meet client requirements. Here's what you'll do:
• Extract, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with complete accuracy.
• Research and troubleshoot issues associated with data and/or tools provided.
• Catch and report bugs by highlighting trends and exceptions that require fixes.
• Suggest process improvement ideas that bring efficiency and structure to workflows.
• Implement automation solutions to make QA processes more robust and efficient.
• Work closely with our team to manage ETAs and deliverables.
• Assist our AI and RPA models by manually parsing data for delivery or process automation.
• Conduct domain-specific preliminary research for building subject matter expertise.
• Own end-to-end operations process for daily project deliverables.
• Respond to client inquiries related to ongoing projects.
Requirements:
• Bachelor's degree in any field required.
• 1+ year experience working with Excel/Google Sheets required.
• Familiarity with XPath, SQL, or query/coding language a plus.
• Excellent attention to detail and ability to perform under pressure.
• Quick learner with strong analytical mindset and tech-savviness.
• Open-minded, motivated self-starter with positive approach to problem-solving.
Infrastructure Requirements:
Since this is a work-from-home position, you will require:
• High-speed internet connectivity for video calls and efficient work.
• Business-grade computer (e.g., modern processor, 8 GB+ RAM).
• Dedicated workspace for uninterrupted work.
• Headphones with clear audio quality.
Additional Information:
This job does not guarantee an organic segue into AI & ML roles. This is not an opportunity to develop a career solely in data visualization.
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