[HCM] Operations Analyst Specialist

1. Reporting & Data Analysis (40%)

Develop and maintain data-mart systems to support performance reporting and policy evaluation.
Design and build dashboards based on business requirements (e.g., Metabase, Data Studio).
Collaborate with departments to standardize metric definitions and ensure data consistency across teams.
Automate recurring data report flows (daily/weekly/monthly).

2. Performance Evaluation & Experimentation (30%)

Coordinate with specialized teams to design policy experiments (e.g., A/B tests, canary launches, regional/user-based pilots).
Analyze experimental results using quantitative methods (e.g., lift, uplift, ROI, retention impact).
Provide data-driven recommendations for policy or operational decision-making.

3. Knowledge & Documentation (30%)

Standardize and maintain documentation related to reporting systems, data-marts, experiment logic, and dashboard usage guides.
Establish knowledge repositories, checklists, and internal wikis for data practices and analytical methodologies.
Collaborate with team members to ensure knowledge transfer, cross-departmental learning, and proper training.

Bachelor’s degree in Data Analytics, Information Systems, Statistics, Economics, or related fields.
Minimum of 2 years of experience in data analysis and building reporting systems.
Proficient in SQL and analytical tools such as BigQuery, Metabase, Google Sheets; familiarity with Python or R is a plus.
Experience with Data Warehousing, Data-mart structures, and ETL processes.
Strong understanding of A/B testing, causal inference, and effectiveness modeling.
Ability to present and visualize data clearly and intuitively.
Strong skills in documentation, knowledge sharing, and process communication.
Systematic thinking, attention to detail, and a mindset for continuous improvement.
Proactive, capable of cross-functional collaboration and handling multiple projects simultaneously.
Fluency in English is a plus.