Thiết kế, thực thi test case thủ công và tự động cho data pipeline, dashboard, báo cáo; đối chiếu, xác thực dữ liệu đa nguồn; duy trì quy trình kiểm soát chất lượng dữ liệu.
Yêu cầu
2+ năm kinh nghiệm data quality, business analytics, finance/e-commerce operations, reporting QA, reconciliation
Thành thạo SQL để truy vấn, so sánh dataset, điều tra sai lệch
Kinh nghiệm thực tế manual testing và quality control
Hiểu automated testing và data-quality monitoring
Giỏi Excel/Google Sheets: công thức, lookup, filter, pivot table, so sánh dữ liệu
Trách nhiệm
Viết SQL truy vấn, so sánh dataset, phát hiện bất thường, thiếu, trùng lặp, thay đổi bất ngờ
Kỹ năng phân tích, giải quyết vấn đề, root-cause analysis mạnh
Lương và phúc lợi
Lương tháng 13
14+ ngày nghỉ phép năm
Bảo hiểm y tế cao cấp từ thời thử việc
Đánh giá dự án và xem xét hiệu suất hàng năm
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
ABOUT THE JOB
Design and execute manual test cases for data pipelines, dashboards, reports and analytical outputs.
Write SQL queries to validate database records, compare datasets and identify inconsistencies.
Reconcile source exports, crawled data, API feeds, semantic tables, dashboards and AI-agent outputs.
Compare data across systems and investigate discrepancies in totals, records, timestamps, identifiers and business metrics.
Validate data completeness, accuracy, consistency, freshness and compliance with business rules.
Define and maintain automated data-quality checks and monitoring rules.
Identify anomalies, missing data, duplicate records, unexpected changes and broken data relationships.
Maintain the data-issue log, including issue description, severity, root cause, owner, remediation plan and status.
Perform root-cause analysis with Data Engineers and other technical teams.
Monitor data freshness and escalate stale, missing or inconsistent information.
Review the data-quality agent’s outputs and identify cases that require human validation.
Work with the Data Engineer to define validation rules, anomaly thresholds and acceptance criteria.
Work with the BI Engineer to ensure that dashboards clearly display data freshness and confidence levels.
Create and maintain a data-quality sign-off checklist for client-facing reports and leadership dashboards.
Train SMEs to identify and report data-quality issues.
Improve testing, reconciliation and data-monitoring processes over time.
ABOUT YOU
Bachelor's degree in Computer Science, Information Systems, Data Analytics or a related field.
2+ years of experience in data quality, business analytics, finance operations, e-commerce operations, reporting QA, reconciliation or a related field.
Practical experience in manual testing and quality control.
Good understanding of automated testing and data-quality monitoring.
Ability to use SQL to query databases, compare datasets and investigate data discrepancies.
Strong Excel or Google Sheets skills, including formulas, lookups, filters, pivot tables and data comparison.
Understanding of data validation, reconciliation, exception handling and issue tracking.
Strong attention to detail when working with business-critical numbers.
Understanding of e-commerce metrics such as GMV, orders, conversion rate, commission, payout, ROI and ROAS.
Strong analytical, problem-solving and root-cause analysis skills.
Good command of written and spoken English.
WHY AMARIS?
Competitive salary and 13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trip
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
International team
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
Equal Opportunity
Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promote diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
