PropertyGuru (Batdongsan.com.vn)

Tóm tắt công việc

• You will be working collaboratively to use data to positively inform and influence the business decisions at PropertyGuru.
• You will use the data to create compelling narratives to help drive action. For example, why certain property listings get significantly higher page views than their peers? What actions do consumers/users browsing on the property take before they zero in on the right property? These are some of the many questions that get asked of our data analyst team in PropertyGuru. These questions drive our product development decisions and inform and recommend action items for the marketing and advertising campaigns.
• You will also be taking part to evaluate and report the key business metrics for the businesses. You will spend time to understand the drivers of the metrics to help the stakeholders understand the potential reasons and hypothesis for the changes. Some of these are related to the A/B experimentations that are performed on the users and products as part of their development.
• Since most of these analyses are driving important decisions, you will need to ensure that these analyses are repeatable and accessible to all with appropriate documentation

• Competitive salary depending on skills and capabilities
• 13th-month salary and additional bonuses based on the business performance
• Performance review
• Comfortable working conditions
• Good career growth opportunities with interesting and challenging projects
• English, technical, and soft skills training courses
• Additional healthcare insurance and annual health check-up
• Light beverage and food are available all the time in the office
• Outdoor activities with company support: sports clubs, team building, happy hour party, birthday, company trip, staff and family events, etc

Required

• Knowledge of SQL is a must. You will need to write custom queries to pull data from BigQuery to support your analyses and hypothesis.
• Build clear and simple dashboards and presentations. We currently use Tableau and Looker for reporting and visualizations.
• 3-6 years of industry experience in working with large-scale datasets.
• English language fluency is a must.

Optional

• Communicate clearly and effectively to cross-functional business partners of varying technical levels
• Experience working with Google Analytics is a plus.
• Experience in Python, R, C++, Java, Go, Scala is a plus. This is not a must-have requirement, but good to have if you aspire to grow as a data analyst or eventually grow into data science role.
• Bachelor's degree in IT or relevant field. Alternatively, lesser qualifications with strong experience in data analysis will also be considered.