Job Overview

You will provide critical insights to business partners and strategic support to the executive team. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for product performance and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact!

Position Responsibilities

• Conduct in-depth analysis to uncover opportunities for improving our products

• Work closely with business partners to extract meaningful insights using a variety of data sources: relational databases, front-end analytics tools, clickstream data, etc.

• Present insights and recommendations to executive leadership using high quality visualizations and concise messaging

• Design and analyze A/B tests to drive KPI improvements

• Build models to predict customer behavior and better understand the drivers of customer engagement and retention

• Develop dashboards to inform business decisions with an emphasis on automation and scalability

• Collaborate with Engineering to advance data infrastructure and governance

Required Qualifications

• Minimum 2 years professional, post academic experience as an individual contributor performing quantitative analysis, preferably for an internet or technology company

• Bachelors or Master’s degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence.

• Hands on experience with at least 2 of the following:

• Experimentation or A/B testing

• Funnel analysis or funnel optimization

• Increasing metrics like revenue, conversion, LTV (lifetime value), customer engagement or customer retention

• Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers

• Ability to handle multiple projects and meet deadlines in a fast-paced environment

• Ability to write complex SQL queries to extract data from a variety of internal sources

• Solid understanding of Statistics with ability to explain statistical concepts to non-technical audiences

• Proficiency with BI tools such as Tableau, Looker, or equivalent

Desired Qualifications

• Knowledge of programming languages such as Python/R preferred

• Experience with Segment, Amplitude, Adobe Analytics, Google Analytics, MixPanel or other front-end analytical platforms a plus