Data & Quality Lead

Job Description

• Responsible for training the data team to their best and making recommendations to the training curriculum as needed.
• Manage and maintain a workflow of requests and communicate with stakeholders the updates and SLAs.
• Evaluate team performance and report back with recommendations to the direct manager.
• Responsible for generating reports and maintaining a dashboard of the team’s performance.
• Manage and support content operations of company product catalog.
• Upload new product catalogs to the company database / systems.
• Product classifications & organization based on company guidelines.
• Handling communication across data & production team.
• Assist with uploading edited photos on showcase interface and in the admin work for the showcase.
• Ensure delivery of products data from source documents or materials within SLAs / timeframe.
• Maintains data entry requirements by following companydata guidelines, techniques, and procedures.
• Collaborate with Customer Success teams to establish and monitor service level agreements, communication protocols with data suppliers, and data quality assurance policies.
• Develop & improve existing product classifications/schemas/data model (taxonomies), for the use by local and international clients (Work Requests).
• always eager to drive new projects with multiple stakeholders, unclear requirements, corrupt and/or incomplete data.
• Conducting recurring audits on data accuracy on company platforms/systems.
• Contributing on creating guidelines for the data department and communicating feedback to other teams.

Job Requirements

• A strong background in data analysis.
• The Team lead should be comfortable with mining large datasets (SQL / NoSQL), RESTful web services and APIs to draw patterns and to draw insights from multiple complex data sources building or configuring technology solutions.
• Always eager to drive new projects with multiple stakeholders, unclear requirements, corrupt and/or incomplete data.
• Leveraging data in decision making - numbers are your friends!
• Bachelor’s degree from an established university in Mathematics, Physics, Computer Science, or another relevant discipline.
• Have 2+ years of experience in a Data Analyst / Data Scientist / BI Engineer role or any other role with similar responsibilities.
• Have provable mastery in Microsoft Office (specifically Excel).
• Comfortable with R or Power BI (for visualization purposes).
• Comfortable with mentoring and directing his team!!
• Power Query and Python are huge pluses!!
• Good understanding of the basics of ML and AI is a plus.