Hepsiburada (NASDAQ: HEPS)
Data Analysis Team Lead (Search)
Hepsiburada (NASDAQ: HEPS)Turkey1 day ago
Full-timeInformation Technology

At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With Türkiye’s and the region's largest Smart Operations Center, industry-leading R&D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.


Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our “Technology Empowerment for Women Entrepreneurs” program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.


With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as “Türkiye’s Hepsiburada” and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.


For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.


If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services—and contribute to exciting success stories—the future starts here.


Responsibilities

  • Analyze data generated within the Hepsiburada search ecosystem, both structured and unstructured, to discover insights and foresight that will fuel growth strategies in commercial search operations or product development.
  • Work with various business units to understand business objectives, data requirements and translate them into analytical solutions
  • Conduct statistical analysis and programming using python and SQL
  • Design and run randomized controlled experiments, analyze the results
  • Communicate with relevant teams regarding project progress, risks & issues, and mitigation alternatives


Basic Qualifications

  • Bachelor’s degree in quantitative field (Statistics, computer science, engineering, Econometry, etc.)
  • 10+ years of work experience in data analytics , data engineering or business intelligence fields.
  • 10+ years hands on experience with SQL
  • Strong data management skills (data preparation, data quality management etc.)
  • Strong data analytical and problem-solving skills (analyze, interpret, model etc. )
  • Strong level of statistics concepts and methods knowledge
  • 5+ years hands on experience with one or more programming languages: Python, R
  • Eager to learn and share knowledge with others



Preferred Qualifications

  • Having experience in e-commerce or internet technologies industries especially worked with the Marketplace domain.
  • Experience in A/B Test Methodologies and Funnel Analysis
  • Experience and strong understanding in Big Data Environments (preferably BigQuery)
  • Experience with building interactive visualization and BI platforms (preferably Looker Studio and Qliksense)
  • Knowledge of algorithms in anomaly detection, demand forecasting, optimization etc.
  • Basic knowledge on machine learning algorithms





https://medium.com/hepsiburadatech

https://stackshare.io/hepsiburada



Bu ilan sebebiyle yapacağınız başvurular aracılığıyla toplanacak kişisel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.Ş (“Hepsiburada”) tarafından 6698 sayılı Kişisel Verilerin Korunması Kanunu (“KVKK”) ve ilgili mevzuat kapsamında iş başvuru süreçlerinin yürütülmesi amacıyla otomatik yollarla işlenecektir.Aydınlatma Metni’ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ulaşabilirsiniz.

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