Data Analyst (3-5 years)

We’re seeking a Data Analyst to join our Professional Hair Care team. You’ll work closely with global colleagues to extract, process, and interpret data from a business perspective. The ideal candidate combines strong technical skills with curiosity and a drive to understand complex systems.

This position will be part of the business management group, providing support to our product managers, business development professionals, insights analysts, and consultants. Supporting external client requests is part of this role’s responsibilities, and while not formally client-facing, occasional direct client interaction may be necessary.

We’re looking for someone with strong Excel and SQL skills, excellent attention to detail, and the ability to communicate clearly with technical and non-technical stakeholders. The ideal candidate is analytical, comfortable working deeply with complex data, and able to retain and apply a strong understanding of data flows and relationships over time.

Key Responsibilities:

• Load and validate external data from third-party sources into internal systems.
• Extract, clean, and format complex datasets in response to custom business requests.
• Execute quarterly data processing cycles and ensure timely delivery of results.
• Conduct thorough quality control checks to validate data accuracy and system outputs.
• Develop a deep understanding of data structures, flow logic, and interdependence across the processing pipeline.
• Collaborate with the Industry team to align data outputs with business context and decision-making needs.

Technical Skills:

• SQL (data querying, joints, filtering, aggregation)
• Advanced Microsoft Excel (pivot tables, formulas, data manipulation)
• Data cleaning and formatting
• Experience loading and validating datasets from third-party sources
• Familiarity with data processing tools or scripts (optional but helpful)
• Strong documentation habits and process tracking
• Experience with a programming language such as Python, especially in big data cleaning and analysis (Nice to have)

Analytical Skills:

• High attention to detail
• Ability to spot and investigate data inconsistencies
• Logical thinking and troubleshooting of data flows
• Understanding of data structures and interdependence
• Ability to create and analyze statistical metrics that test data validity and anomalies

Soft Skills:

• Clear written and verbal communication
• Ability to ask clarifying questions and interpret vague business needs
• Proactive mindset and self-direction in remote work environments
• Willingness to collaborate across time zones and cultures
• Capacity to retain and apply knowledge over time

During the probation period, performance will be evaluated based on:

• Accuracy and completeness of data extractions and loads
• Timeliness in executing quarterly processing
• Effectiveness in identifying and resolving discrepancies
• Depth of understanding gained in data flows
• Responsiveness to business needs and collaboration