Senior Data Analyst

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