BranchFactor Summary

The original posting with the fluff stripped out

Compensation

No salary listed for this role.

Role speciality

Product AnalyticsUser Behavior Analytics

Useful technologies

LinkedIn LearningPythonRSQLUdemy

Preferred qualifications

Field of studyBusiness, Computer Science, Economics, Mathematics, Statistics (or related)

Study levelBachelor's

Original posting

About the team

Inside our team:- Strong data engineering foundation team with sustainable data pipelines.

Highly mature Data team with a mindset of Data as a Product.
Highly data-driven culture across multiple teams with a variety of data problems requiring diversified analytics methods. You will learn and grow deeply in Analytics while solving the problems.

As an Amanotes’ product Data Analyst, you have the chance to deal with data of 3+ billion users to generate accurate, actionable, and timely insights for the products team, in order to boost user understanding and product optimization

Insights are key. We need deep-dive insights to improve user experience and product/process optimization, driving actions from top-down levels to bottom-up.
Use analytical techniques such as EDA, statistical tests, time series analysis, funnel analysis, user journey analysis, clustering and other segmentation methods, etc. to extract patterns and user/product insights from behavioral user data.
Conduct pre-AB test exploratory analysis to provide data-driven insights for product feature design.
Conduct post-AB test deep-dive explanatory and exploratory analysis to validate key hypotheses, providing solid learning for next steps.
Construct dashboards to monitor business performance.
Proactively communicate with the business team (cross-functional teams) to understand their needs and to transform business questions into analytics and build data models to solve them.
Collaborate closely with the Data Engineering team to understand the centralized data warehouse and pipeline, extracting data from multiple sources.

Bachelor’s degree in Business, Economics, Statistics, Math, Computer Science, or related majors.
+3 years of experience in the data/analytics field.
Strong product mindset, striving to improve user experience and product optimization; not stopping at data but providing product-driven solutions and consultation.
Very good at logical thinking and able to learn new things quickly, attention to details.
Strong analytics/statistics skills with experience working with a large amount of data (clean, visualize, extract insights, etc.).