Use data to answer strategic questions and support business strategy and rapid growth
Organize, visualize and understand large data sets relating to various performance marketing channels
Run deep-dive analysis, create regression or segmentation models, build dashboards and generate reporting to drive business growth
Generate reporting to drive business growth and draw strategic insights from product, user, and operational data
Run experiments and impact analysis to understand the effects of changes and tie insights back to key business metrics or KPIs
Explore user behaviour patterns to make informed recommendations that improve product performance and reduce risk
Requirements
You can pull, clean and manipulate large sets of complex data to turn them into stories that business stakeholders can understand
You can write SQL queries and perform data analysis with Python, and know your way around analytics tools (Looker, amplitude DBT and snowflake)
You are naturally curious and have a solid understanding of common statistical methods and how they relate to real world applications
You are able to work independently while also embracing mentorship and guidance, confidently addressing stakeholder requests and contributing valuable insights
You take ownership of your work, leveraging the support provided to solve problems and deliver impactful results
You are comfortable navigating ambiguous or changing priorities and can adjust your approach to meet new challenges
You understand how data insights connect to broader business goals and are eager to learn how to make strategic contributions