What are the responsibilities and job description for the Data Entry Specialist – eCommerce position at Country Supplier?
Position Overview
The Data Entry Specialist – eCommerce plays a critical role in maintaining and updating product listings, inventory, and customer data to ensure accuracy and efficiency in our online sales operations. This position requires a detail-oriented individual with strong computer proficiency, the ability to work independently, and a commitment to accuracy and organization.
The ideal candidate thrives in a fast-paced digital environment, can manage multiple tasks, and ensures that all eCommerce data is entered and maintained accurately.
Essential Duties and Responsibilities
- Analyze, cleanse, and enrich raw data to improve data accuracy, quality, and relevance.
- Identify and validate new data sources for, ensuring alignment with company goals and compliance with data standards.
- Conduct data matching and merging to ensure consistency and remove duplicates.
- Standardize data formats and structures across multiple datasets to ensure data consistency and compatibility.
- Collaborate with cross-functional teams (e.g., marketing, sales, product) to understand data needs and requirements.
- Maintain and update databases and data pipelines to support data enrichment activities and data integrity.
- Create and maintain documentation for data enrichment processes, policies, and data definitions.
- Conduct regular data audits and quality checks to monitor data accuracy and completeness.
- Identify and resolve data discrepancies, errors, and anomalies in a timely manner.
- Assist with data analysis and reporting to support business insights and decision-making.
- Comprehensive knowledge of the products Country Supplier sells.
- Other duties assigned as needed.
Qualifications
- Proficiency with data management tools and software, such as Excel, SQL, and CRM or data enrichment platforms (e.g., Salesforce, HubSpot, Snowflake).
- Strong analytical skills with a meticulous attention to detail and accuracy
- Familiarity with data standardization, normalization, and data cleansing techniques.
- Excellent problem-solving skills and ability to work with complex data sets.
- Strong written and verbal communication skills, with the ability to document processes clearly.