What are the responsibilities and job description for the E-Commerce Data Entry Specialist position at C-A-L Ranch Stores?
Primary Purpose
The Data Entry Specialist will play a vital role in enhancing the quality, accuracy, and completeness of our data assets. This role involves identifying and validating data sources, performing data clean-up, enrichment, and standardization tasks, and supporting our data-driven initiatives to improve business insights and decision-making. The ideal candidate will have a passion for data quality and a meticulous approach to data management.
Essential Duties and Responsibilities
Analyze, cleanse, and enrich raw data to improve data accuracy, quality, and relevance.
Identify and validate new data sources for enrichment, 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.
Other Duties and Responsibilities
Comprehensive knowledge of the products Country Supplier sells.
Other duties assigned as needed.
Qualifications
Experience in data enrichment, data quality, or data management roles preferred.
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.
