Senior Data Analyst

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Ringkas dengan posisi Senior Data Analyst. Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Ringkas melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Senior Data Analyst di Jakarta yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Ringkas. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi Senior Data Analyst di Jakarta Perusahaan Ringkas:

About Ringkas

We’re building AI-powered financial infrastructure, working with 33 major banks to improve and scale their conversion.

What this role is

You’ll own product and business data analytics — instrumentation, experiments, dashboards. You will report to the Head of Product, and you’re in the room before features are built, not after.

What you’ll do

• Join product reviews before engineering starts to confirm we can actually measure what we’re building.
• Work with the PM to translate product goals into measurable metric specs — confirm what’s trackable, flag what isn’t before engineering starts.
• Keep behavioral analytics data honest. Validate events, catch gaps, push engineering to fix them with a clear spec.
• Cross-check numbers across analytics tools regularly and own it when they diverge.
• Build BI dashboards the team can use without asking you.
• Write complex SQL against raw data tables independently, without routing every analytical question through a data engineer.
• Run experiment analysis — size tests, interpret results, and tell stakeholders clearly when something is inconclusive.
• Pull patterns around retention, drop-off, and feature adoption, then turn them into a point of view.
• As our Conversion Agent Product scales, dig into AI conversation data — funnel analysis, agent behavior, eval quality.

What we’re looking for

• 4–6 years in product or growth analytics at a tech company that moves fast.
• Strong SQL fluency — you don’t need an engineer to model data before you can work.
• Python for when SQL hits its limits — enough to do cohort analysis, statistical work, and light data manipulation independently.
• You’ve caught a feature that wasn’t measurable before it shipped, not after.
• You’ve run experiments end-to-end and know the difference between inconclusive and failed.
• Experience with product behavioral analytics tools.
• Familiarity with Mixpanel and Metabase for stakeholder dashboards.
• Comfortable building process where there isn’t one yet.
• You use AI tools day-to-day — we’ll talk about this in the interview.

Strong plus if you have

• Prior experience at a high-scale consumer tech company (Gojek, Traveloka, Grab, Shopee, or equivalent).
• Background in fintech or lending.
• Exposure to AI product analytics — conversation funnels, agent behavior, or eval data.
• Exposure to dbt — comfortable reading models and trace lineage independently to understand where a number comes from.