Senior Data Analyst - PayLater
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Detail Lowongan
- Fungsi
- Teknologi Informasi
- Gaji
- Gaji Dirahasiakan
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Deskripsi Pekerjaan
At Paystone, we build technology that helps businesses strengthen customer relationships and drive sustainable growth. Our integrated suite of payment and software solutions brings together payment processing, loyalty, gift cards and reputation marketing, supporting thousands of merchants across North America.
As part of Paystone’s suite of products, DataCandy powers gift card and loyalty programmes for thousands of merchants. Every activation, redemption and top-up generates valuable data that can be transformed into meaningful insights about client performance, customer engagement and growth opportunities.
We are looking for an Analytics Engineer to bring this data together and turn it into trusted, actionable insights that help our Customer Success and Account Management teams make informed decisions, identify opportunities and better support our clients.
The Role
This is a hands-on, build role, where you will help establish and own DataCandy’s customer data foundation. You will centralise product, client, commercial and lifecycle data in Databricks, develop consistent business metrics, and surface meaningful insights through Salesforce to help teams identify opportunities, risks and priorities.
What You’ll Do
Experience with any of the following would be an advantage:
This role gives you the opportunity to help build a data foundation from the ground up and directly influence how the business uses data to manage and support its clients.
You will have the opportunity to design scalable solutions, automate manual processes and create data products that directly support business decision-making.
If you are excited by the opportunity to build, automate and create rather than simply maintain, we would like to hear from you.
Perks & Benefits
By joining Paystone, you are joining a team that is future-focused and driven by our mission of creating Customer Driven Growth.
By helping our clients create better experiences for their customers, and in turn, motivating their happy customers to share their experiences with others, our platform creates the momentum for our clients to gain more happy customers. In other words, we win when our customers do.
Curious?
Good! We want all the curiosity we can muster. Innovation stems from observation and questioning, so be eager, be innovative, and be ready to raise the bar.
Come check us out!!
paystone.com
datacandy.com
get.nicejob.com
About Us
Paystone is a leading North American payment and software company redefining the way merchants engage their customers and grow their businesses. The company's seamlessly integrated suite of automated payment processing, customer loyalty, gift card solutions, and now reputation marketing, is used by brands such as Irving Oil, The Source, Global Pet Foods, Kernels Popcorn, and many of the MTY Food Group's restaurant brands. Paystone's solutions are used at over 30,000 locations across Canada and the United States which collectively process over 10 billion dollars a year in bankcard volume. We employ over 200 employees and serve as the technology partner of choice for hundreds of partners across North America.
**Paystone is an equal opportunity employer. Should you require any accommodations due to disability please let us know at the time you are selected for an interview.**
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As part of Paystone’s suite of products, DataCandy powers gift card and loyalty programmes for thousands of merchants. Every activation, redemption and top-up generates valuable data that can be transformed into meaningful insights about client performance, customer engagement and growth opportunities.
We are looking for an Analytics Engineer to bring this data together and turn it into trusted, actionable insights that help our Customer Success and Account Management teams make informed decisions, identify opportunities and better support our clients.
The Role
This is a hands-on, build role, where you will help establish and own DataCandy’s customer data foundation. You will centralise product, client, commercial and lifecycle data in Databricks, develop consistent business metrics, and surface meaningful insights through Salesforce to help teams identify opportunities, risks and priorities.
What You’ll Do
- Build and maintain reliable data pipelines and models across Salesforce, transaction, product, onboarding, renewal, pricing and support data
- Develop and maintain a governed Client 360 view connecting accounts, locations, products, commercial terms, adoption and revenue performance
- Define and document trusted metrics for GRR, NRR, churn, client health, time-to-value and renewal risk
- Develop automated client health scoring and renewal-risk triggers across the customer portfolio
- Surface clear, actionable client insights in Salesforce to support Customer Success and Account Management teams
- Prepare governed, high-quality datasets to support AI and agentic workflows
- 2–4+ years of experience in analytics engineering, data engineering or a related field
- Strong SQL skills and solid working knowledge of Python
- Hands-on experience with PySpark and Databricks, including Delta, Jobs and Workflows
- Cloud platform experience, with GCP preferred
- Experience with version control, code review, CI/CD and infrastructure as code
- Practical experience using AI coding assistants and agentic workflows
- Strong Excel skills for ad hoc analysis and reporting
- Strong written English and the ability to clearly document technical work
Experience with any of the following would be an advantage:
- Salesforce data models
- SaaS retention and customer health metrics
- dbt
- Payments, loyalty or B2B SaaS environments
This role gives you the opportunity to help build a data foundation from the ground up and directly influence how the business uses data to manage and support its clients.
You will have the opportunity to design scalable solutions, automate manual processes and create data products that directly support business decision-making.
If you are excited by the opportunity to build, automate and create rather than simply maintain, we would like to hear from you.
Perks & Benefits
- Compensation tied to market data
- We reward for contribution
- Flexible Time-off
- We’re committed to career development
- Work from home
By joining Paystone, you are joining a team that is future-focused and driven by our mission of creating Customer Driven Growth.
By helping our clients create better experiences for their customers, and in turn, motivating their happy customers to share their experiences with others, our platform creates the momentum for our clients to gain more happy customers. In other words, we win when our customers do.
Curious?
Good! We want all the curiosity we can muster. Innovation stems from observation and questioning, so be eager, be innovative, and be ready to raise the bar.
Come check us out!!
paystone.com
datacandy.com
get.nicejob.com
About Us
Paystone is a leading North American payment and software company redefining the way merchants engage their customers and grow their businesses. The company's seamlessly integrated suite of automated payment processing, customer loyalty, gift card solutions, and now reputation marketing, is used by brands such as Irving Oil, The Source, Global Pet Foods, Kernels Popcorn, and many of the MTY Food Group's restaurant brands. Paystone's solutions are used at over 30,000 locations across Canada and the United States which collectively process over 10 billion dollars a year in bankcard volume. We employ over 200 employees and serve as the technology partner of choice for hundreds of partners across North America.
**Paystone is an equal opportunity employer. Should you require any accommodations due to disability please let us know at the time you are selected for an interview.**
Powered by JazzHR
SeV5JQPC3z
Tentang Posisi Analytics Engineer
Analytics Engineer di Zomaron adalah peran penuh waktu pada level profesional yang berlokasi di Indonesia. Untuk persyaratan terlengkap, lihat bagian Deskripsi Pekerjaan di atas yang merupakan informasi resmi dari sumber lowongan.
Pekerjaan di kategori Teknologi Informasi umumnya menuntut kombinasi keterampilan teknis dan kemampuan komunikasi. Pelamar dengan portofolio yang terdokumentasi baik—baik berupa studi kasus, proyek nyata, atau sertifikasi yang relevan—biasanya memiliki nilai tambah saat seleksi.
Tips Melamar Analytics Engineer di Zomaron
Berikut tips praktis dari Tim Editorial InfoLoker.id untuk meningkatkan peluang Anda dipanggil interview:
- Sesuaikan CV Anda dengan kata kunci yang muncul di deskripsi lowongan Analytics Engineer di atas — sistem ATS umumnya mencocokkan istilah teknis maupun nama tools.
- Riset singkat tentang Zomaron: lihat produk, model bisnis, dan kabar terbaru perusahaan sebelum mengirim lamaran.
- Tulis surat lamaran yang menjelaskan mengapa Anda cocok untuk posisi Analytics Engineer, bukan sekadar paragraf umum.
Sebagian besar perusahaan di Indonesia kini menggunakan sistem Applicant Tracking System (ATS). Pastikan CV Anda mudah dibaca mesin: format PDF teks (bukan hasil scan), tipografi sederhana, dan hindari layout dua kolom yang membingungkan parser. Pelajari panduan lengkapnya di artikel Cara Membuat CV ATS Friendly 2026.
Estimasi Gaji & Total Kompensasi
Lowongan ini tidak mencantumkan rentang gaji secara terbuka. Pada tahap interview, Anda berhak menanyakan total kompensasi yang mencakup gaji pokok, tunjangan tetap, tunjangan tidak tetap, BPJS, dan bonus kinerja.
Untuk benchmark, gunakan platform survei gaji terkurasi atau jaringan profesional Anda. Jangan berikan angka terlebih dahulu — minta perusahaan menyebutkan rentang yang dialokasikan untuk posisi Analytics Engineer.
Persiapan Interview untuk Posisi Analytics Engineer
Setelah CV lolos seleksi administrasi, biasanya kandidat akan diundang ke proses interview. Untuk posisi Analytics Engineer, pelamar umumnya melewati beberapa tahap berikut:
- Screening HR: pengenalan singkat, motivasi melamar, ekspektasi gaji, dan ketersediaan mulai bekerja.
- Interview teknis / studi kasus: relevan untuk bidang teknologi informasi, dapat berupa soal teknis, presentasi portofolio, atau take-home assignment.
- Interview user / pengguna langsung: bertemu calon atasan untuk membahas cara kerja, ekspektasi, dan kecocokan budaya tim.
- Interview final: biasanya dengan manajemen senior atau founder untuk posisi tertentu.
Persiapkan jawaban dengan kerangka STAR (Situation, Task, Action, Result). Selengkapnya bisa Anda baca di 30 Pertanyaan Interview Kerja Tersulit & Cara Menjawabnya.
Waspada Penipuan Rekrutmen
Lowongan ini bersumber dari LinkedIn dan ditampilkan di InfoLoker.id sebagai bagian dari agregasi informasi publik. Sebelum memberikan data sensitif atau membayar biaya apa pun, perhatikan rambu-rambu berikut:
- Perusahaan resmi tidak pernah meminta biaya untuk seleksi, pelatihan, seragam, atau jaminan.
- Verifikasi alamat email rekruter — hindari komunikasi melalui akun pribadi WhatsApp/Telegram bila perusahaan memiliki domain email resmi.
- Cek konsistensi informasi lowongan dengan halaman karir resmi Zomaron bila tersedia.
Bila menemukan kejanggalan, laporkan ke report@infoloker.id. Tim kami menindaklanjuti laporan dalam SLA 3×24 jam kerja. Daftar tanda penipuan rekrutmen yang lebih lengkap dapat Anda pelajari di Ciri-ciri Lowongan Kerja Palsu.
Jelajahi Lowongan Serupa
Tidak cocok dengan posisi ini? Jelajahi rekomendasi lowongan lain yang relevan dengan profil pencarian Anda:
Pertanyaan yang Sering Ditanyakan
Bagaimana cara melamar lowongan Analytics Engineer di Zomaron?
Klik tombol "Lamar Sekarang" di halaman ini untuk diarahkan ke halaman resmi sumber lowongan (LinkedIn). Anda dapat mengirim lamaran langsung melalui sistem aplikasi yang disediakan tanpa biaya apa pun.
Berapa kisaran gaji untuk posisi Analytics Engineer?
Lowongan ini tidak mencantumkan rentang gaji. Anda dapat menanyakan ekspektasi gaji saat sesi interview dengan tim rekruter Zomaron.
Apakah lowongan Analytics Engineer ini masih dibuka?
Tanggal kedaluwarsa tidak dicantumkan oleh sumber. Disarankan Anda segera mengirim lamaran selagi posisi masih tersedia, atau memverifikasi status posisi pada halaman resmi LinkedIn.
Apakah InfoLoker.id memungut biaya pelamar?
Tidak. InfoLoker.id adalah agregator informasi lowongan kerja yang gratis bagi pelamar. Kami juga tidak meminta biaya pendaftaran. Waspadai pihak mana pun yang meminta biaya atas nama perusahaan.
Informasi lowongan ini diambil dari LinkedIn. InfoLoker.id tidak bertanggung jawab atas kebenaran dan ketersediaan lowongan ini.
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