Data Analyst

Duration - 6 months Key job responsibilities: • Use data and your understanding of our advertising customers’ business to provide guidance to C-suite marketing leaders, via business reviews and frequent in-person client presentations to regularly iterate on and articulate a brand’s strategy • Present findings and insights in a consultative way to the client and collaborate with the relevant internal teams in order to provide a complete solution • Be able to deal with ambiguity in order decipher complex problems, select an ideal solution from a wide array of analytic techniques and concepts and translate into actionable requirements for your team • Have the ability to collaborate, work cross-functionally and communicate effectively across multiple business functions and geographies • Proactively provide appropriate levels of support and guidance to other locales outside of your core market • Deliver regular and bespoke analyses and insights for some of the world’s largest advertisers to drive growth across advertiser KPIs and help them grow their businesses • Demonstrate deep analytical ability, and develop great expertise in proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers • Educate other teams on media offerings and keep them engaged by delivering learning sessions, writing training documentation and whitepapers for internal and external use • Be a proponent of data driven decision making and encourage clients to act on the recommendations • Be someone who enjoys, and shows an appetite for, learning new skills and adopting new analytic methodologies and tools Technical Skills: • Advanced in SQL ability to write complex queries from scratch from multiple tables • Fluency with Python (or R) – ability to run advanced statistical modelling. Coding (SQL, Python/R) – advanced Basic qualifications: • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field • Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders • In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building