Jakarta
Rp6 jt – Rp8 jthari ini
We are hiring a mid to senior Analytics Engineer to join the Analytics & Data Engineering team at Ajaib. This role sits between data engineering and business stakeholders - owning the transformation layer that turns raw data into trusted, well-modeled datasets that power analytics, reporting, and ML use cases across the company.
We're looking for someone who treats data ownership as a craft - not just shipping models, but standing behind them. In AE work, data correctness is something worth fighting for, and we want someone who pushes back when the numbers don't add up, follows the thread back to upstream engineers, and refuses to let root causes get patched over with workarounds.
Take end-to-end ownership of assigned data domains — including the projects built on top of them, their data quality, documentation, and the trust stakeholders place in them.
Treat data quality as non-negotiable: investigate anomalies, follow up persistently with data engineers and source system owners to resolve root causes rather than apply patches, and advocate for fixes upstream when needed.
Collaborate with data engineers on upstream pipelines (CDC, streaming, batch ingestion) to ensure source data fits downstream modeling needs.
Proactively identify gaps and propose new AE initiatives — better testing frameworks, semantic layers, metric stores, internal tooling, automation — when current work feels routine. We want someone who gets restless and turns that into innovation, not someone who waits for tickets.
Mentor junior analytics engineers and review PRs.
Ability to communicate clearly with both technical and non-technical stakeholders, including holding the line on data quality issues with upstream teams.
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