Operations Analyst (Data & Automation)
Role overview
Deskripsi pekerjaan
The Operations Analyst (Data & Automation) is the Logistics team's in-house builder of data tools and automation. They turn business needs into small, reliable systems: data transformation (ETL) flows, dashboards and reports, data-entry tools for scattered operational data, and AI-assisted workflows. They also support the Business Analyst with requirement gathering, SOP documentation and reporting, and work closely with the Logistics team to drive improvement.
Tanggung jawab
Responsibilities
- Build and maintain data transformation (ETL) flows that produce deterministic, verifiable output, reconciled against source data.
- Build internal web tools to capture operational data that is not available via API, with input validation and audit trails.
- Design and maintain database schemas for data owned by these tools, using constraints and validation to keep data clean (no duplicates, no orphaned records).
- Build dashboards and reports on top of the existing data platform.
- Build AI-assisted workflows where they fit, with checks on the AI's output.
- Write tests from known-input and expected-output cases agreed with the requester.
- Reuse and extend existing live tools as templates, and document each tool shipped (purpose, inputs and outputs, how to deploy, how to test).
- Use AI coding tools in daily work and be able to explain any code shipped.
Yang perlu disiapkan
Job requirements
- Bachelor's degree in Computer Science, Information Systems, Data or related field.
- 0–2 years of experience
- Fresh graduates are welcome if they have relevant internship, freelance, or part-time experience.
- Has built at least one project end-to-end that other people used (internship, work or personal).
- Experience with AI coding assistants, and the judgment to check their output.
- Python and SQL: able to read, write and debug both independently.
- Relational database fundamentals: table design, primary and foreign keys, constraints, joins, indexes and transactions
- Hands-on experience with a relational database such as PostgreSQL, MySQL or SQL Server.
- Working knowledge of Git and basic automated testing.
Benefit
Fasilitas dan benefit
- Vacation Time
- International Exposure
- Team Building Activity
- Casual Dress Code
- Paid Sick Days
- Flexible Benefit Program
Tools
Tech stack dan tools
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Y Ventures Group Ltd.
Jakarta
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