Data Analyst

Vidio; Daerah Khusus Ibukota Jakarta; On-site; USD 12.000 - 20.000; Full time

Job summary

A leading company in the OTT platform seeks a Data Analyst in Jakarta to enhance data quality and insights. The role involves working closely with Data Engineers, managing significant data sets, and performing analysis to support product enhancements. Ideal candidates should have a passion for data and be skilled in SQL and Python.

Qualifications

• Minimum 1-year experience in a related field.
• Familiar with SQL, Python, and Spark for querying data.
• Knowledge of ETL processes is a plus.

Responsibilities

• Maintain data quality and improve data handling.
• Design trackers for data collection.
• Build dashboards for monitoring metrics.

Skills

Data visualization

Data analysis

Communication

SQL

Python

Spark

Tools

Google Analytics

Firebase

Job description

Responsibilities

• Working closely with Data Engineer to maintain the data quality, continuously improving our data, and making sure we handle all issues that can possibly occur
• Design trackers to ensure we’ll get all the data we need from tracking
• Build data visualization and dashboard for monitoring key metrics
• Do data exploration to give actionable insights for business and product improvements
• Handle ad-hoc data requests for product performance reviews and improvements
• Perform data collection and learn about the data both from within our product and from 3rd party
  
  

Requirements

• Apply and finish our online test here: https://careers.vidio.com/34-data-analyst-jakarta-indonesia
• Have a minimum 1-year experience in a related field
• Being passionate about data for the OTT Platform
• Familiar with one or more languages for querying data ( SQL, python, spark)
• Comfortable working with huge data sets and numbers (e.g. we have millions of plays per day)
• Ability to convert numbers to insights
• Have good interpersonal and communication skills
• Knowledge of ETL to support and contribute to database implementation and systems is a plus
• Knowledge of Analytics tools is a plus (Google Analytics, Firebase, etc)
• Have knowledge about data relational model
• Have knowledge about design tracking on product analytics is a plus