Lowongan Data Analytics Sinergia Worldwide Education

We are looking for a Data Analyst to join the Sinergia Cyber School team.

Tanggung Jawab Pekerjaan :

• Conduct quantitative analysis and qualitative research to support top-of-mind strategic initiatives on the operation departement • Be the “Single source of truth” for product dashboards, data dictionaries, and any recurring reporting • Develop recommendations to improve existing product, and operations by leveraging big data and analytics • Continuously learn and develop skills from Ruby, Hadoop, Big Query to any latest trend in big data and cloud technology • Assimilate, aggregate and query growth data (MAU, New Users, Registrations, etc.) to provide recommendations based on analysis. • Identify, analyze, and interpret trends or patterns in complex data sets. • Help the team in recommending and preparing adequate requirements in developing new product features of a bot to support its growth and sustainability.

Syarat Pengalaman :

Minimal 2 tahun pengalaman di bidang yang sama

Kualifikasi :

• Male / Female • Bachelor or Master Degree in Computer Science, Math, Stats, Engineering, Physics, or equivalent experience. • Preferably from the famous State Universities in Indonesia or famous Universities in foreign Countries • Fluent in English both oral and written • Passionate about big data, software engineering, automation • Patient, responsible • Team player, able to work with a cross-functional team. • Proficient time management and prioritization skills. • Highly motivated and detail oriented. • Minimum 1 year of experience in digital analytics, social media measurement or related fields in digital marketing • Minimum 1 year of experience with analytics platforms such as Google Analytics, Facebook Insights, Twitter Analytics, Socialbakers, Adobe Analytics, etc. • Domicile Surabaya

Keahlian :

• Knowledge in SQL: BigQuery, Postgres, MySQL, and data modeling, or Familiarity with R, Phyton, Tableau, Metabase, C++ • Highly skillful in math especially in the area of probability & statistics. • Self-starter. • Has analysing model and data reading skills. • Has a methodical and logical approach to an issue. • Understand regression model.

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