
Data Analyst Expert
3 days ago
We are seeking a detail-oriented Data Analyst to join our team. The successful candidate will have excellent analytical skills and the ability to work effectively with data.
The role of the Data Analyst involves working with our talented team of engineers to ensure that our clients receive high-quality datasets in a timely manner. You will be responsible for collaborating with our development team to ensure the end-to-end completion of the 'Extraction-QA-Feedback-Delivery' process.
Your key responsibilities will include:
- Extracting, QC-ing, auditing, and delivering completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
- Researching and troubleshooting issues associated with data and/or tools provided.
- Catching and reporting bugs by highlighting trends and exceptions that require fixes.
- Suggesting process improvement ideas that will bring efficiency and structure to workflows.
- Implementing automation solutions to make our QA processes more robust and efficient.
- Working closely with our team of developers to manage ETAs and deliverables.
- Assisting our AI and RPA models by manually parsing data for delivery or process automation.
- Conducting domain-specific preliminary research for building subject matter expertise.
- Own end-to-end operations process for your daily project deliverables.
- Responding to client inquiries related to ongoing projects.
In order to succeed in this role, you will need:
- To have at least a bachelor's degree in any field.
- To have worked on Excel / Google Sheets for at least 1 year.
- Familiarity with XPath, SQL, or any query/coding language would be a plus.
- Excellent attention to detail and proven ability to perform under pressure.
- A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data.
- An open-minded, motivated self-starter with a positive approach to problem-solving.
- An active listener who can effectively translate instructions into action.
You will also need to meet the following infrastructure requirements:
- To have high-speed internet connectivity for video calls and efficient work.
- To have capable business-grade computer (e.g., modern processor, 8 GB+ of RAM).
- To have dedicated workspace (at home) for uninterrupted and efficient work.
- To have headphones with clear audio quality.
- To have stable power connection and backups in case of internet/power failure.
Please note that this role does not guarantee an organic segue into AI & ML roles, and it is not an opportunity to develop a career solely in data visualization.
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