Senior Data Analyst

Our Data 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 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 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.

Required

• 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 a business perspective, and communicate clearly and effectively to cross-functional business partners of varying technical levels. Good data storytelling skills 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 advanced analytics, for example, forecasting models, customers segmentation, and 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 Tableau 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 them in English.
• Have a good business mindset, love to solve business questions and are eager to make an impact

Optional

• Experience working with Google Analytics, Google tag manager is a plus.
• Experience in Python, Airflow, and 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 tasks.
• Experience working with Technology product/platform

• 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