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Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided)

Agoda
Diposting: 11 Mei 2026
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Deskripsi Pekerjaan

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Overview:

The Agoda Content department is currently looking for a curious and questioning self-starter and proactive analyst, who will help drive decision making with insights from content, marketing and partner performance data.

You will get the opportunity to own analytical projects to direct our department’s focus, and prioritize our actions. By joining Agoda, you will become part of a truly international team, with leading experts of different backgrounds coming from 50+ countries around the world. This is a genuine opportunity to gain valuable experience in a challenging and cutting-edge tech environment. The ideal candidate would have a passion for high-converting content, great user-experience, data and analysis tools and methods. This position reports to the Associate Director of Content Operations, in Bangkok, Thailand.

Main responsibilities:

  • Understand Content goals and KPIs and be able to align reports and insights based on them. Identify and investigate trends, anomalies and opportunities to improve Agoda’s Content strategy.
  • Identify content opportunities that drive customer value, bookings and conversion
  • Help build business cases around the opportunity and get buy-in from stakeholders
  • Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis
  • Track execution and report up in regular updates
  • Work with product, data/BI team and IT to create data resources and build appropriate reporting
  • Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus.
  • Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
  • Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation.
  • Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners
  • Use Web-Analytics for Research and Analysis

Requirements:

  • Bachelor degree or higher
  • 2+ years of relevant experience
  • Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel – required
  • Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization
  • Experience / knowledge in Vertica and / or Impala – advantage
  • Experience in generating data and / or preparing experiments for product development – advantage

Professional characteristics:

  • Attentive to detail and committed to data integrity
  • Keen and curious nature; able and willing to share your opinion
  • Organized; able to manage multiple, competing priorities and deliver results under tight deadlines
  • Able to communicate effectively; fluent in English – both spoken and written

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Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover More About Working At Agoda

  • Agoda Careers https://careersatagoda.com
  • Facebook https://www.facebook.com/agodacareers/
  • LinkedIn https://www.linkedin.com/company/agoda
  • YouTube https://www.youtube.com/agodalife

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Tentang Posisi Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided)

Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) di Agoda adalah peran penuh waktu pada level profesional yang berlokasi di Bali. 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 Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) di Agoda

Berikut tips praktis dari Tim Editorial InfoLoker.id untuk meningkatkan peluang Anda dipanggil interview:

  1. Sesuaikan CV Anda dengan kata kunci yang muncul di deskripsi lowongan Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) di atas — sistem ATS umumnya mencocokkan istilah teknis maupun nama tools.
  2. Riset singkat tentang Agoda: lihat produk, model bisnis, dan kabar terbaru perusahaan sebelum mengirim lamaran.
  3. Tulis surat lamaran yang menjelaskan mengapa Anda cocok untuk posisi Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided), 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 Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided).

Persiapan Interview untuk Posisi Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided)

Setelah CV lolos seleksi administrasi, biasanya kandidat akan diundang ke proses interview. Untuk posisi Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided), 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 Agoda bila tersedia.

Bila menemukan kejanggalan, laporkan ke [email protected]. 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 Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) di Agoda?

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 Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided)?

Lowongan ini tidak mencantumkan rentang gaji. Anda dapat menanyakan ekspektasi gaji saat sesi interview dengan tim rekruter Agoda.

Apakah lowongan Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) 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.

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Informasi lowongan ini diambil dari LinkedIn. InfoLoker.id tidak bertanggung jawab atas kebenaran dan ketersediaan lowongan ini.

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