About the role:

We’re seeking a detail-oriented analyst to join our Data Operations team, focusing on product/brand mapping and data hygiene. The ideal candidate will ensure data accuracy, consistency, and integrity across multiple sources, supporting reporting and insights.

Key Responsibilities:

Classify and map products/brands into internal taxonomies.
Clean and format external product data using naming conventions and rules.
Identify and resolve duplicates, mismatches, and inconsistencies.
Perform manual/semi-automated validation using Excel and basic Python.
Conduct anomaly detection and trend checks (Python for analysis, not automation).
Collaborate with stakeholders on data hygiene improvements and documentation.

Requirements:

Advanced Excel (pivot tables, conditional logic, data cleansing).
Exceptional accuracy and attention to detail in repetitive/manual tasks.
Strong analytical mindset with ability to detect inconsistencies and anomalies.
Basic Python for data validation and exploratory checks.
Background with product/brand classification or FMCG/retail datasets (preferred).
Clear written and verbal communication.

We’re looking for someone meticulous, analytical, and comfortable with hands-on data validation and classification.

This is a full time, remote role.

Data Quality & Mapping Analyst

About the role:

Key Responsibilities:

Requirements: