Vietnam Job Openings
Visily
Product Data Analyst
FULL TIME
November 18, 2024
Work with us if you are:
- Hungry. You are ambitious and want to be part of a high-impact startup.
- Versatile. You are able to wear multiple hats on a regular basis.
- Result-oriented. You are fanatical about getting things done.
- Purpose-driven. You want to commit to a mission and the team that is behind it.
Responsibilities
While the Product Data Analyst role at Visily requires strong competence in data and statistical analysis, equally important is business acumen and product knowledge: because the product organization will rely on your valuable insights & reports to make key decisions about the product, you need to be well-informed on the goals of the business, product, etc., to provide the best insights possible.In this role, youll be the subject-matter expert on all data matters that pertain to product experiments, features, & users.
As a fast-moving startup, the work youll do may vary from week to week, however, core responsibilities for this role include:
- Developing & reporting on metrics: With each new feature launch, youll own all facets of success measurement and reporting, along with key insights about adoption.
- Ensuring high data hygiene and governance standards across the team: As a member of our Data & Insights team, youll have the responsibility (with other team members) to ensure we maintain the highest standards with regard to data quality & governance. When data quality or reliability issues arise, youll be quick to report on and remedy them.
- Providing ad hoc analysis and insights on key initiatives: Youll proactively investigate and surface insights around key areas of product adoption & usage patterns.
An ideal candidate possesses
- Superb command of written and spoken English; a significant part of this job entails communicating nuanced and complex findings in English with an international team of employees, investors, and others
- 3+ years of data analytics experience in a software company with a solid track record
- Deep understanding of best practices vis-a-vis modern ETL processes, tooling, & data warehouses, along with prior experience working with data engineers to ensure data is accurate, timely, and accessible
- Mastery in Excel, Python, R, SQL, or other similar tools, as well as data visualization tools to communicate insights effectively.
- Ability to conduct regression analyses, A/B & MVT experiments, root cause analyses, and other statistical operations to provide quantitative product insights
- This role interfaces regularly with US-based CEO, so ability to meet 1-2 times per week during evening hours is critical.
Additional Information
- Build a global Saa S product in one of the Best Places to Work in Vietnam
- Competitive salary and many benefits, including health insurance, flexible hybrid working mode
- Work with a talented team who built large-scale systems at Google, QASymphony, Katalon, Kobiton, etc.
- Beautiful office in HCMC with many entertainment options (game console, foosball, ping pong, gym, etc.) and unlimited coffee & snacks.
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