Data Analyst

Toronto, Canada
Full Time
Mid Level

LotusFlare's mission is to make the mobile internet more accessible. Mobile data connectivity drives economic growth and brings vast social benefits to the world, but two-thirds of the world's population is unable to access this valuable resource. Our mission is to make mobile internet both affordable and available, and LotusFlare is making this a reality.

We are founded by early Product and Growth team executives from Facebook, and backed by world-leading VCs including Google Ventures, Social Capital, SV Angels, Macquarie Capital, and Compound.

We partner with some of the greatest institutions in the world including Linkedin, Supercell, Microsoft, Skype, Verizon Wireless, Singtel.

SUMMARY

As a Data Analyst at LotusFlare, your work will directly affect products impacting millions of people. You will work on products throughout its whole life cycle and be responsible for advocating data-fueled products that help our customers to make data-driven decisions. You are a strategic thinker who can synthesize disparate information to understand the drivers of businesses and market dynamics, and structure corresponding vision and strategy to win the market. You are obsessed with data; you can easily translate complex data into accurate, timely, and actionable insights & decisions which deliver business impact.


RESPONSIBILITIES

  • Contribute to the strategy, vision, prioritization, and execution of data analytics products for LotusFlare’s web and mobile platforms
  • Work closely with data scientists and data engineers to analyze diverse sources of data to devise actionable insights
  • Define core metrics that measure the drivers of the business
  • Develop, execute, and test different growth experiments that have a significant impact on conversion across all funnels (acquisition, activation, retention, engagement, and monetization)
  • Analyze and monitor qualitative and quantitative data on the web and mobile app products to develop the most remarkable user experience
  • Present findings and prepare strategy recommendations to executive stakeholders
  • Partner with cross-functional teams including engineering, UX/UI, sales, marketing, and customer success to build growth strategies and manage complex, cross-functional projects

REQUIREMENTS

  • Undergraduate degree in Economics, Engineering, CS, Math, Statistics, Physics or similar quantitative field; advanced degrees a plus
  • Candidate must be able to effectively synthesize disparate quantitative and qualitative data sets to quickly make data-driven decisions
  • Excellent SQL and Python skills
  • Experience with Tableau, Quicksight, Data studio or other reporting and visualization tool
  • Strong communication skills, ability to smoothly lead external client presentation and communication
  • Fluent with data analysis, A/B Testing, and statistics
  • 1 - 5 years of previous experience in product management, software development, growth product management, or analytics; exceptional new grads are welcome to apply as well
  • Obsessive around moving critical business metrics and products


 
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