(Senior) Product Analyst

Elsa Speak

Địa điểm làm việc: Hồ Chí Minh

Hết hạn: 24/10/2021

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(Senior) Product Analyst

Location Ho Chi Minh City, Viet Nam

Team: Data Science

Report to: Head of Data Science

Come help us optimize the learning journey of hundreds of thousands of our users by analyzing their past behavior, predicting what they might do next, and proposing relevant changes in the apps or the servers. At ELSA we are building the best AI-powered English-speaking assistant with over 13M app downloads

The role:

At ELSA we know how important it is to know our customers in order to serve them best. For this reason, we adopt many aspects of the apps and the speech processing algorithms based on what we learn from our users over time. In the data science team, there is a huge opportunity to work with our talented data scientists and data engineers in various projects related to data analytics, business intelligence, and machine learning. We are looking for top-notch product analysts for analyzing valuable insights related to our users, products, and business, developing analytic reports, and troubleshooting data issues.

What you'll be doing:

Help design, execute and evaluate A/B tests to improve the user journey
Identify opportunities in data to accelerate product adoption, retention, engagement, and/or monetization.
Collaborate with different internal teams by building analytic reports and dashboards with useful analysis and data insights from both products and customers.
Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic,
predictive (including forecasting), and prescriptive data projects.
Deep understanding of different data sources through multiple services to help drive designs/usages or note impacts to data reporting capabilities.
Serve as the Technical DRI for the Product Key Performance Indicators.
Explore large, complex, and loosely defined datasets to create actionable insights.
Create necessary documentation and presentations for relevant analytics

What do you need:

Have 3-5 years of relevant experience: Product Analyst, Data Analyst, Marketing Analyst.
Experience, leveraging descriptive and predictive data techniques
Experience focused on feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user archetypes and their usage patterns.
Experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
Advanced Level SQL.
Proficient in English.

Why will you love working here?

Competitive compensation
Private PTI Health Insurance, Premium Annual Health Check
ELSA Training, Company Trip and Annual Health Check.
ELSA Pro 3 months during Probation, ELSA Pro 1 year After Probation.
Fun energetic team; international and collaborative culture
Opportunities to grow professionally and play a critical role to shape the next stage of the company's growth
Experience the true spirit of a fast growing and well funded Silicon Valley startup

How to apply?

Apply now to maximize your talents and make a real impact! Send your CV and a short introduction on why you want to join ELSA to [email protected] We love to see your application.

About the Company:

ELSA (English Language Speech Assistant) is a startup founded in 2015 by Stanford alum Ms. Vu Van, and Dr. Xavier Anguera, a veteran in speech recognition and AI. ELSA's app, which is called ELSA Speak, listens to the way language learners pronounce words, sentences or conversations to pinpoint exact errors and provide real-time, accurate feedback on their pronunciation mistakes with specific suggestions on how to improve. The company built its own proprietary speech technology using deep learning and A.I. to detect people's pronunciation mistakes with 95%+ accuracy. Based in San Francisco, ELSA has raised $27 million in capital and is backed by leading VCs in Silicon Valley, Southeast Asia and Japan. ELSA Speak is available for iOS and Android and is used by more than 13 million users in over 101 countries. The company has offices in Portugal, Vietnam, India, Indonesia and Japan.

ELSA has been recognized as Top 5 Best Artificial Intelligence Apps (by Research Sniper); and Top 4 Companies Using AI To Transform The World (by Forbes)