Data & Operations Analyst
Must-have:DataAI
Machine translation — original language: German.Show original
About the Role We are looking for a Data & Operations Analyst to support various data and operational initiatives within the company. This is a hands-on role, perfect for someone who enjoys working directly with data while also being involved in day-to-day operations. In the early stages, you will focus on supporting AI-based projects, including managing large datasets and coordinating data labeling processes. Over time, this role can also expand into other operational areas.
Responsibilities Data & AI Operations
- Manage and coordinate data labeling processes
- Supervise data annotator staff and ensure accurate and consistent work results
- Monitor progress, output, and data quality
- Perform quality checks
Analysis & Reporting
- Manage and clean datasets
- Create simple reports or dashboards for performance tracking
- Assist with data and trend analysis
Operations
- Support daily operational activities
- Coordinate with vendors, partners, and internal teams
- Assist with simple documentation and tracking (including costs/operations)
- Assist in streamlining and improving workflows
Qualifications
- 1–3 years of experience in data, operations, or similar fields
- Proficient in Excel / Google Sheets (SQL is a plus)
- Detail-oriented, organized, and able to multitask
- Willing to work onsite in Cikarang
- Comfortable working in a fast-paced and dynamic environment
- Able to communicate in English (at least basic)
Added Value
- Experience with dashboards (Power BI, Tableau, etc.)
- Experience using data annotation tools
- Interested in AI, data, or problem solving
Why Join Us
- Get directly involved in real AI projects
- A hands-on role with significant impact
- Learn both technical and operational sides simultaneously
- Opportunity to become a permanent employee
Selection Process
- Selected candidates will be asked to complete a short task to assess analytical skills and attention to detail
Skills: Microsoft Excel, Data Analysis, Data Visualization