2022-09-24
IP Location 菲律宾 133| Industry Category | Sales / Marketing | Position | E-commerce |
| Recruitment Department | Number Of Recruits | several | |
| Work Location | All Cities | Nature Of Work | Full Time |
| Gender Requirements | Male | Marriage Requirement | No marital status restrictions |
| Education Level | College Diploma | Work Experience | No work experience restrictions |
| Age Requirement | Above 18 years old | Salary Package | 30000-50000 PHP / Monthly |
| Updated Date | 2022-09-24 | Valid Until | Valid for a long time |
Job Description:
Job Brief: The Data Feed Analyst will be responsible for setting up, analyzing and optimizing product data feeds for our clients. You will be responsible for all elements of data feed optimization, ensuring adherence to Feedonomics and industry Best Practices and documented Methodology to ensure a high level of service delivery. You will transform raw data into an optimized product feed tuned for performance in each unique channel, including Google, Bing, CSEs and Marketplaces.
● Building product feeds, including optimizing matching, modifying, sorting and filtering mass quantities of product data into usable product listings
● Setting up data imports from eCommerce platforms (Magento, Shopify, BigCommerce)
● Setting up data imports via FTP ● Manipulates data by implementing SQL queries through data sorting, extraction and optimization
● Establishing parent/child variations and setting up a single product/SKU to have a shared identifier with parent SKU
● Using brand mapping tools to convert multiple brand titles into a single brand
● Configuring and mapping attributes from XML files
● Writing queries to accomplish data optimizations, transitions, matching ups, filtering, sorting and fixing broken product URLs and image URLs
● Generating optimized data feeds by following industry and Feedonomics best practices
● Ability to restructure product data to fit feed criteria of specific shopping engines and channels
● Setting up feed exports to CSEs including Google Shopping, Facebook, Bing Shopping and Marketplaces such as Amazon and eBay Liaising with clients to resolve any feed related issues that come up after optimization; fulfilling clients’ requests that are related to products and providing insights and suggestions for product feed optimization to clients
● Reviewing shopping data and uncovers new trends and discusses potential opportunities with clients
● Communicating with various shopping channels, Marketplaces and affiliate networks to gain clarity on their specific feed requirements
● Fixing data imports that are not functioning correctly, switching data import sources, and ensuring the integrity of data; resolving mismatching product attributes when products are updated and providing solutions to resolving errors and warnings in various shopping channels
● Creating detailed performance reports, customized to meet the goals and needs of our clients
● Working within Feedonomics platforms and Excel spreadsheets
Requirements:
Bachelor’s degree required in a discipline with strong academic performance in analytic and quantitative coursework including Information Systems, Business Administration, Economics, Marketing or a related field
● Strong analytical, critical thinking, and research skills
● Strong problem identification and resolution skills
● Required to pass our internal written/performance test for technical skills and aptitude for data analysis and problem solving. Prior Experience
● Night shift experience preferred
● 2+ years work experience minimum in tech support role
● Team player
● Ability to methodically analyze data sets
● Excellent attention to detail and organizational skills
● Ability to multitask in a deadline driven environment Prior Experience
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