We are looking for a Data Analyst to join the Sinergia Cyber School team.
•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.
•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.
•Has analysing model and data reading skills.
•Has a methodical and logical approach to an issue.
•Understand regression model.
•Male / Female, max 27 years old
•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
•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.
If you possess the above skills and can demonstrate proven effectiveness as a Data Analyst, please apply at https://bit.ly/2yX06A9