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Position Summary
Role and Responsibilities
Data Operations:
- Develop data systems that data analysts can use to create recurring daily reports
- Create systems that work with current company systems (e.g., MS Office) and adhere to company data policies
- Ensure data consistency and correctness in data sources and reports
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.
- Identify and catalogue system requirements, author data dictionaries and guides
- Identify inefficiencies in the analysis and data extraction processes and propose solutions to streamline operations and reduce costs.
- Develop and implement process improvement initiatives, including workflow optimization, automation, and standardization.
Data Quality:
- Work with stakeholders to ensure that data is received on time and is accurate
- Develop systems to automatically identify data error and anomalies
- Create processes to correct data errors and manage anomalies
Skills and Qualifications
- Degree in Data Analytics, Computer Science, or a related field.
- 7-10 years of experience in data operations and automation, preferably in an e-commerce or retail setting.
- Proficient in Python, VBA, and SQL (at least in 2 of the listed coding languages); proficiency in other development/coding languages (e.g., R) is a plus
- Experience working with GitHub and MS Visual Studio
- Very good attention to detail
- Ability to work in a fast-paced environment, with short turnarounds, and rapidly changing sources of data
- Experience working with large datasets
- Be comfortable receiving data/information in different languages and be able to use translation apps as necessary
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