Data Analyst at HSSL Systems Integrator
HSSL Systems Integrator, is an Enterprise Business Communication Services, Technology and Outsourcing Services Company. We combined unparalleled experience, comprehensive capabilities across all industries and business functions.
We understand and apply best industries practices. HSSL has a proven approach to help manage organisation ICT Service Level Management throughout the entire organization while achieving better IT and business alignmentJob Description
We are seeking an E-commerce Data Analyst who will be responsible for ensuring the accuracy, consistency, and competitiveness of product data on our e-commerce platform.
This role involves validating pricing, applying markups, monitoring product availability reports, and supporting the overall efficiency of product catalog management.
Responsibilities
Validate product details including names, SKUs, descriptions, and specifications.
Monitor product availability and highlight missing or incomplete data.
Ensure products follow category-level rules and visibility requirements.
Data Quality & Accuracy
Review and validate product attributes including name, SKU, description, and specifications.
Ensure products comply with category-level rules (e.g., Request a Quote vs. Price Visible).
Monitor product performance and highlight anomalies or gaps in data.
Requirements
Bachelor’s Degree in Statistics, Computer Science, Business, Economics, or related fields.
2-4 years of experience in data analysis and in e-commerce, retail, or product catalog management.
Familiarity with e-commerce platforms and knowledge of the IT industry are a plus.
Excellent communication and interpersonal skills, with the ability to interact professionally with end-users at all levels of the organization.
Ability to prioritize tasks effectively, work independently, and adapt to changing priorities in a fast-paced environment.
Skills & Competencies:
Strong analytical and problem-solving skills.
Proficiency in Microsoft Excel or other data tools.
High attention to detail and accuracy.
Ability to work with large datasets efficiently.
Strong communication and collaboration skills.
