Data Administrator
3 days ago
Description
• Update customer data for recurring tasks like new users, inventory updates, and price changes. • Investigate and resolve data discrepancies, such as missing/duplicate records. • Identify repetitive or time-consuming data support tasks suitable for automation. • Implement scripts or workflows to streamline data processes using Python, SQL, and/or Bash Script. • Monitor automated processes to ensure reliability and performance. • Act as a point of contact for data-related requests, providing assistance with data retrieval and validation. • Collaborate with stakeholders to understand data needs and deliver timely solutions. • Communicate resolutions, risks, and potential impacts of data fixes to relevant stakeholders. • Work with data team and product teams for ongoing improvement of data operations. • Support cross-functional projects involving data validation, migration, or integration. • Assist team members in adopting automated tools or scripts by providing training or documentation.
Requirements
• Ability to operate autonomously. • Proficiency in SQL for data queries and troubleshooting. • Basic programming skills in Python or similar for automation. • Familiarity with database systems like Oracle or MS SQL Server. • Experience with spreadsheet tools like Excel for data analysis and validation. • Experience in various operating systems, preferably Linux, cloud platforms, and DevOps technologies. • Strong analytical abilities to identify and resolve data issues effectively. • Ability to document technical processes and automation tools. • Attention to detail when troubleshooting and validating data. • Ability to assess processes and propose automation solutions. • Proactive approach to identifying and resolving potential data issues.
Benefits
• Additional annual leave to relax throughout the year. • Flexibility to work from home or office. • Professional development budget for growth. • Annual wellness allowance for wellbeing.
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