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Senior Product Data Analyst,
3 months ago
Company Description
Visily is an AI-powered UI design software started from KMS Labs, the startup incubation arm of KMS Technology.
Our team consists of technology entrepreneurs who have built successful product companies from scratch:
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QASymphony - test management platform, merged with Tricentis, valued at $2B
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Kobiton - mobile testing platform, raised $34M with over 60K customers
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Katalon - test automation platform, raised $27M with over 1M users
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GroveHR:
- HR platform used by 32K companies
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.
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Result-oriented. You are fanatical about getting things done.
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Purpose-driven. You want to commit to a mission and the team that is behind it.
As a key member of the Visily team, this role reports directly to Visily's CEO and will be responsible for providing key analyses and insights to inform business strategy.
- Building and circulating reports, dashboards, and visualizations to inform different teams about our business
- Conducting analyses on critical business and product matters, including but not limited to:
- Adoption of newly released features
- Ideal customer profiles based on product usage, probability of conversion, etc.
- Optimal user flows to improve conversion rates
- Partnering with Finance on modeling and monitoring data around our monetization efforts
- Researching and reporting on benchmarks for core metrics, ensuring that we're trending well relative to those benchmarks
- Developing KPIs and other metrics to help us track the things that are most critical to Visily's success
- Partnering with Product, Engineering, and others to ensure adherence to proper data hygiene and governance
Qualifications
- 3+ years of data analytics experience in a software company
- 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
- Mastery in Excel, Python, R, SQL, or other similar tools, as well as data visualization tools to communicate insights effectively.
- Ability to conduct regression analysis, statistical operations on data sets to extract
- This role reports directly to the USbased CEO, so the ability to meet 12 times per week during evening hours is critical.
Preferred Qualifications
- Bachelor's degree in mathematics, statistics, engineering, economics, or other quantitative fields
- Familiarity with common consumer and B2B SaaS metrics and concepts, including
DAU:
MAU, LTV, general retention metrics, etc.
Additional Information
- Build a global SaaS 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 largescale 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.