About The Job
About Us
PropertyGuru Group is Asia's leading property technology company with 25 million property seekers visiting PropertyGuru websites every month. PropertyGuru and its group companies empower property seekers with the widest option of more than 2 million homes, in-depth insights and solutions that enable them to make confident property decision across Singapore, Malaysia, Thailand, Indonesia and Vietnam.
In Vietnam, PropertyGuru Group owns the leading online property marketplace, batdongsan.com.vn, which has over 4 million monthly property seekers generating 70 million page views and over 1 million new property listings added every month.
About You
Our Analytics team is empowered to build unique and compelling products/users/business insights using machine learning and data. The work done by our Data Analysts is highly sought after as the business sees the Data Analysts as partners in their journey who drive and create a tremendous impact on the business.
What You Will Do
- 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 do 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, advertising campaigns and product development.
- You will also be taking part to evaluate and report the key business metrics for the businesses. You will spend time understanding the drivers of the metrics to help the stakeholders understand the potential reasons and hypotheses for the changes. Some of these are related to the A/B experiments 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.
What You Should Have
- Minimum 5 years of industry experience in working with large-scale datasets.
- Analytical and structured thinking (must have).
- Communication skills: Can explain the data from business perspective, communicate clearly and effectively to cross-functional business partners of varying technical levels. Good data story telling skill and be able to handle stakeholders expectations.
- Result-oriented and get things done mindset. We push beyond good and We own it and deliver it are our working culture.
- Have experience with deep dive and advance analytics, for example forecasting model, customers segmentation, customer behaviors analysis..
- The data analyst must be willing to work with unclean data. We have a lot of new features per quarter, which means DA must be prepared to work with new, unprocessed data.
- 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 Looker Studio and Looker for reporting and visualizations.
- English language fluency is a plus, some of your stakeholders are foreigners and will require you to document your works and present in English.
- Have a good business mindset, love to solve business questions and eager to make impact
- Love innovations and apply new technology to create what's next
Good to have
- Experience working with Google Analytics, Google tag manager is a plus.
- Experience in Python, Airflow, Gitlab is a plus. This is not a must-have requirement, but good to have if you aspire to grow as a data analyst.
- Familiar with Jira and using Kanban to manage task.
- Experience working with Technology product/platform
Our Commitment To You
- Hybrid flexible working that focuses on outcomes over hours.
- Holistic rewards package covering your financial, physical & mental health.
- Multi-directional career development across all levels.
- Inclusive benefits like equal paternity leave, supporting all employees in work life balance.
