Analytics Engineer
Bantu Ledger mengubah data menjadi wawasan bisnis yang bisa diambil tindakannya
Sebagai Analytics Engineer di Ledger, kamu akan mengelola analisis penjualan konsumen di berbagai saluran, termasuk Ledger.com, Amazon, dan distributor. Kamu akan mengembangkan model data di Snowflake, membuat dashboard di Tableau, dan mengukur kinerja kanal pemasaran. Timmu berfokus pada mengubah data menjadi wawasan yang bisa diambil tindakannya untuk operasi penjualan dan pemasaran.
Kenapa Menarik?
Ledger adalah platform global untuk aset digital dan Web3, dengan lebih dari 20% aset kripto dunia yang dijamin melalui perangkat Ledger.
Tanggung Jawab Utama
- Mengelola analisis penjualan konsumen di berbagai saluran seperti Ledger.com, Amazon, dan distributor
- Mengembangkan dan meningkatkan model data di Snowflake dari berbagai sumber data seperti penjualan, pemasaran, dan analisis web
- Membuat dan memelihara dashboard Tableau untuk stakeholder bisnis seperti kinerja e-commerce dan penjualan distributor
- Mengukur kinerja kanal pemasaran seperti SEM, Google Ads, dan Amazon Ads
Persyaratan
- Pengalaman dalam mengelola analisis data dan membuat dashboard
- Kemampuan dalam mengembangkan model data di Snowflake
- Pengalaman dalam menggunakan Tableau untuk visualisasi data
- Kemampuan dalam mengukur kinerja kanal pemasaran
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Lihat Deskripsi Asli dari Ashby Job BoardsTampilkan selengkapnya
Deskripsi asli dari Ashby Job Boards
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own analytics across the full consumer sales scope: Ledger.com http://Ledger.com e-commerce, Amazon marketplaces, wholesale and resellers/distributors - covering both sell-in and sell-out- with one consistent view of revenue, units and margin reconciled in Snowflake, our source of truth - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting (SKU, refunds, sales anomalies) - Build and maintain Tableau dashboards for business stakeholders: e-commerce performance, wholesale, resellers sell-out, affiliation, editorial content, shipping costs - Own the measurement of performance marketing channels - SEM / Google Ads, affiliation & retargeting, Amazon Ads: spend, revenue attribution, ROAS/CAC across GA4, ad platforms and internal sales data, reconciling discrepancies between sources - Measure the true impact of pricing, promotional and marketing campaigns using causal inference methods (CausalImpact, pre-post, control/synthetic groups) and recommend budget arbitrations to the Growth team - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Contribute to cross-functional data projects (Salesforce data model, new data source integrations) and leverage AI tooling (Claude, LLM-based workflows) to scale analytics delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Strong SQL and dbt skills (Snowflake) - Python for analysis and statistics; experience with causal inference methods is a strong plus - Strong Tableau skills - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks - 3-4 years of experience in data analytics/analytics engineering - Data driven and business oriented; able to challenge stakeholders' methodology - Excellent organizational skills, fluent in English At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.
Konteks Gaji
Posisi Engineering serupa di LokerDollar dibayar sekitar $170k/yr (kisaran $1k–1000k/yr, dari 802 listing aktif).
Perekrutan di Ledger
Ledger punya 4 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 30 Mei 2026 — di kategori Engineering, Product, Marketing, Data & Analytics.
- Senior Product Manager - Earn
- CRM Lifecycle Specialist
- Total Rewards Specialist – Contractor (6 months)
Konteks pasar
- TIDAK DIKETAHUIListing ini tidak mencantumkan gaji. Median peran serupa $170,000/tahun (n=802 listing bergaji).
- TERVERIFIKASILedger: 14 lowongan dalam 3 bulan terakhir, 20 sepanjang waktu di LokerDollar.
- TERVERIFIKASIPerusahaan pertama kali terlihat 30 Mei 2026.
- TERVERIFIKASILowongan ini pertama kali terlihat 29 Sep 2026.
- TERVERIFIKASITerakhir diverifikasi masih aktif 29 Sep 2026.
Pemberi kerja tidak menyatakan keterbukaan lokasi — cek langsung lowongannya
Pertanyaan yang sering diajukan
- Apakah Analytics Engineer di Ledger bisa dikerjakan remote?
- Ya, Analytics Engineer di Ledger bisa dikerjakan remote, tetapi perusahaan tidak menyebutkan negara mana saja yang boleh melamar. Cek deskripsi lowongan sebelum melamar.
- Jenis pekerjaan apa Analytics Engineer di Ledger?
- Posisi ini adalah pekerjaan full time.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Ledger.
Jelajahi lebih lanjut
Data & laporan pasar
Riset gaji & permintaan skill dari data lowongan kami sendiri.
- Lowongan IT Indonesia vs Remote Global (2026)Analisis data primer 2.049 lowongan: metodologi, klasifikasi, dataset bisa diunduh.
- Permintaan Skill AI: Indonesia vs Global (2026)10.000+ lowongan, classifier taxonomy-first, Wilson CI, pra-registrasi sebelum analisis.
- Remote ≠ Remote: Skill yang Membuka Kerja Global untuk Indonesia (2026)12.891 lowongan remote: skill coding bergaji tertinggi justru paling terkunci untuk pelamar Indonesia. Dataset agregat CC BY 4.0.
- Lapisan Kepatuhan dalam AI Hiring Stack (2026)6.349 lowongan remote: 77,2% tidak menyebut siapa yang boleh melamar. Metodologi dan dataset agregat CC BY 4.0.
- Laporan Hiring Indonesia: Tech vs Non-TechPermintaan lowongan per bidang dari hitungan agregat — bukan listing per-listing.
- Benchmark Gaji IndonesiaKisaran gaji agregat lintas peran, dengan metodologi dan dataset terbuka.
- Indeks Gaji & Permintaan Kerja Remote untuk IndonesiaBerapa banyak lowongan remote global yang terbuka untuk Indonesia, dan gajinya (USD) per bidang.
- Laporan Kuartalan Pasar Kerja IndonesiaPHK, pendanaan, gaji & skill per kuartal — agregat terbuka.
- Laporan Pasar Remote per PeranLaporan otomatis per kelompok peran — skill, senioritas, perusahaan, gaji.
- Benchmark Gaji Remote GlobalGaji tahunan per bidang & mata uang, plus porsi lowongan terbuka untuk seluruh dunia.
Dari blog kami
- Gaji Remote Developer di Tengah Ketidakpastian RupiahAnalisis pasar kerja remote global per September 2026 dengan data 5,133 lowongan aktif dan tren skill yang dicari perusahaan.
- Kesalahan Umum Kerja Remote Gaji DollarHindari 7 kesalahan umum saat cari kerja remote gaji dollar biar aplikasi lo gak langsung masuk trash.
- Update Loker Remote USD: Data Pasar September 2026Analisis data 5,119 lowongan remote USD per September 2026, mencakup tren skill AI, gaji median, dan realita budaya kerja async.