Responsibilities

• Handle routine reporting and presenting (primarily bi-weekly and eventually, quarterly reports).
• Manage ad-hoc analytics questions & requests in a timely fashion.
• Assist in website analytics initiatives, including website tag implementation in Google Tag Manager and running custom analytics reports using Google Analytics and Big Query.
• Create custom analytics dashboards in Tableau, PowerBI or similar tools.
• Assist in report automation.
• Assist in campaign planning and performance analysis.

Requirements

• Bachelor’s degree preferably in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 years’ professional experience.
• Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their programming skills.
• Basic SQL capabilities: joining tables, using ‘group by’ clauses, case statements.
• Basic understanding of statistical concepts such as hypothesis testing, confidence intervals, statistical tests (chi-squared, etc) and how to use them.
• Knowledge or experience working within Google Tag Manager or Google Analytics.
• Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly, Seaborn, ggplot etc).
• Basic to intermediate skills in Excel: Pivot tables, etc.
• Strong communication skills, both written and verbal.
• Comfortable working independently (once properly on-boarded).
• Comfortable working in a fast-paced, cross-functional environment.

Preferred

• Interest or background in machine learning / predictive modelling.
• Knowledge or experience working with Firebase.
• Experience working with scientific polling data—bonus if applicant has experience with large .sav files and either SPSS / pyreadstat.
• Experience with automated data collection (web scraping, APIs).
• Experience writing VBA macros a plus.
• Experienced and comfortable collaborating remotely.