Bolster is a digital, creative and product agency specialising in music, events and entertainment. We’re incredibly passionate about our clients and, hopefully, they’re on your radar too. We’re talking teams like Splendour in the Grass, St. Jerome’s Laneway Festival, Falls Festival, Chugg Entertainment, Fairfax Events, Pinot Palooza and Future Classic, plus global lifestyle brands such as YouTube, JBL, Sapporo, Blundstone and Redbull Music.
We design and develop digital products for ourselves and our clients. Some notable mentions include Linktree, (an instagram tool with 3 million users) and two webby award nominated projects: Buzz and LNWY - an online music publication we built in collaboration with the Laneway Festival
We’re looking for a data analyst help lead a major change in the way the music industry consumes and understands data. You’ll work with a data Engineer to:
Analyse Bolster’s significant set of industry data from sources like Facebook, Adwords, Analytics and Spotify to find insights, inform campaigns and present in industry publications.
Develop and maintain valuable client facing dashboard visualisations
Help the business grow through maintaining, modelling and presenting insights from our data warehouse.
Help build Analytics features for Linktree. Linktree has gained massive popularity in the last year, with 3m users and gaining over 12000+ new signups a day. Some key users are Alicia Keys, Eminem, The Grammys, Starbucks, Crossfit, Jamie Oliver, VICE, Guardian, Perez Hilton, Fender + Expedia.
Our dream candidate will possess all of the following qualities :
Advanced SQL with working experience in dimensional modelling
Experience with a web analytics tools
Visual design experience, particularly with data visualisation
Familiar with modern BI tools (Looker, Mode, Metabase, Periscope, Tableau)
An interest in music, tech and the wider industry
Personable, clear and constructive communication skills.
Bonus Points :
Experience with Python or R
An interest in Machine Learning and predictive analytics (experience even better!)
Knowledge of NoSQL, particularly ElasticSearch highly desired
Knowledge of the big data tooling landscape and best practices