Data Analyst (FINNS Beach Club)
LinkedInFinns Bali
Detail Lowongan
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- Teknologi Informasi
- Gaji
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Deskripsi Pekerjaan
About Wati
Started as a WhatsApp team inbox in 2020, Wati has evolved into a full revenue orchestration system that goes beyond a single platform. We empower businesses that sell, support, and grow through conversations by observing customer intent in real-time, deciding the next best revenue action, and executing it seamlessly across marketing, sales, and support—all within WhatsApp and connected messaging channels.
Our Platform & AI Capabilities
Wati is designed for scalability and intelligence. Our AI-native platform simplifies complex customer communication operations through a unified inbox, a robust multi-channel messaging infrastructure, and no-code automation. At the heart of our solution is Astra, our intelligent AI layer, which helps you create AI Agents for all customer interactions and all your messaging platforms. By integrating AI agents into the ecosystem, we enable businesses of all sizes to deliver measurable ROI and build deeper customer relationships.
Our Backing & Partnerships
Trusted by over 16,000 customers across 190+ countries, Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta and Google, we maintain the highest standards of platform excellence and integration
About The Role
The Revenue Operations Analyst will be instrumental in analyzing large datasets to extract meaningful insights that impact our bottom line. You will lead the charge in optimizing our dashboards, maintaining data accuracy, and developing new data pipelines that support strategic decision-making in all aspects of our revenue stream, from sales-qualified lead to customer retention and churn.
This role requires a blend of strong technical data skills, a strategic mindset, and a thorough understanding of SaaS operations. Here is a good read of what this role requires - https://www.chargebee.com/blog/what-is-revops/\
What you'll do:
Started as a WhatsApp team inbox in 2020, Wati has evolved into a full revenue orchestration system that goes beyond a single platform. We empower businesses that sell, support, and grow through conversations by observing customer intent in real-time, deciding the next best revenue action, and executing it seamlessly across marketing, sales, and support—all within WhatsApp and connected messaging channels.
Our Platform & AI Capabilities
Wati is designed for scalability and intelligence. Our AI-native platform simplifies complex customer communication operations through a unified inbox, a robust multi-channel messaging infrastructure, and no-code automation. At the heart of our solution is Astra, our intelligent AI layer, which helps you create AI Agents for all customer interactions and all your messaging platforms. By integrating AI agents into the ecosystem, we enable businesses of all sizes to deliver measurable ROI and build deeper customer relationships.
Our Backing & Partnerships
Trusted by over 16,000 customers across 190+ countries, Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta and Google, we maintain the highest standards of platform excellence and integration
About The Role
The Revenue Operations Analyst will be instrumental in analyzing large datasets to extract meaningful insights that impact our bottom line. You will lead the charge in optimizing our dashboards, maintaining data accuracy, and developing new data pipelines that support strategic decision-making in all aspects of our revenue stream, from sales-qualified lead to customer retention and churn.
This role requires a blend of strong technical data skills, a strategic mindset, and a thorough understanding of SaaS operations. Here is a good read of what this role requires - https://www.chargebee.com/blog/what-is-revops/\
What you'll do:
- Business & Strategic Planning (P1): Understanding business context and building framework based on the data results in order to enable data as a decision management function to fulfill business growth appetite. Additionally, acting as the thought partner to the GTM team, in order to exploit market-fitted strategy. Contribute to strategic planning efforts by providing data-driven insights on market trends, customer segmentation, and revenue opportunities
- Data Analysis & Reporting (P1): Utilize advanced SQL skills to query, manipulate, and analyze complex data sets within BigQuery databases to extract key customer insights that inform strategic decision-making. Translate data findings into clear, understandable reports and presentations for stakeholders across the company
- Data Optimization (P2): Develop, refine, and optimize information flow that provide relevant insights into growth & revenue metrics, customer behavior, and performance
- Collaboration on Data Pipelines (P2): Work closely with the data team to design and implement new data pipelines that enhance the flow and accessibility of information. Ensure that these pipelines and data structures are scalable and support the growing analytical needs of the business as well as the reports are up to date, user-friendly and provide actionable insights to drive business decisions
- Cross-Functional Support (P1): Provide support to sales, marketing, customer success, and partnership teams by delivering tailored data insights and reports to help them meet their objectives. Act as a bridge between these departments and the data team to ensure alignment and optimal use of data
- Process Improvement (P3): Continually assess and improve the data collection and analysis processes, incorporating best practices to enhance efficiency and accuracy. Advocate for the adoption of new tools and technologies that can improve revenue operations
- Training and Enablement (P3): Educate and train non-technical team members on how to interpret and utilize dashboards and reports, increasing data literacy across the company
- Bachelor's degree in a business or data-related field
- 3-5 years' work experience in a revenue operations role in a tech SaaS company
- Strong experience in SQL and querying large datasets, particularly using BigQuery
- Strong experience with data visualization tools such as Tableau, Looker, or similar (Data science experience is a plus)
- In-depth understanding of key SaaS metrics
- Strong analytical and problem-solving skills with a keen attention to detail
- A self-starter who is ready to take initiative and craft solutions from the ground up
- Ability to work independently and in a fast-paced environment
Tentang Posisi Revenue Operations Data Analyst
Revenue Operations Data Analyst di Wati 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 Revenue Operations Data Analyst di Wati
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 Revenue Operations Data Analyst di atas — sistem ATS umumnya mencocokkan istilah teknis maupun nama tools.
- Riset singkat tentang Wati: lihat produk, model bisnis, dan kabar terbaru perusahaan sebelum mengirim lamaran.
- Tulis surat lamaran yang menjelaskan mengapa Anda cocok untuk posisi Revenue Operations Data Analyst, 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 Revenue Operations Data Analyst.
Persiapan Interview untuk Posisi Revenue Operations Data Analyst
Setelah CV lolos seleksi administrasi, biasanya kandidat akan diundang ke proses interview. Untuk posisi Revenue Operations Data Analyst, 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 Wati 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 Revenue Operations Data Analyst di Wati?
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 Revenue Operations Data Analyst?
Lowongan ini tidak mencantumkan rentang gaji. Anda dapat menanyakan ekspektasi gaji saat sesi interview dengan tim rekruter Wati.
Apakah lowongan Revenue Operations Data Analyst 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.
Lowongan Serupa
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