Senior Data Analyst

November 7

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ESL FACEIT Group [EFG]

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esports • games • community • festivals • TV production

501 - 1000

Description

• At EFG (ESL FACEIT Group) we create worlds beyond gameplay, where players and fans become a community. • We pride ourselves in having a corporate social responsibility which is that “IT’S NOT GG, UNTIL IT’S GG FOR ALL”. • Our passion, craft, and DNA align to create and shape the world of esports, gaming tournaments, leagues, events, and holistic ecosystems through our millions of players, fans, and heroes, as well as through our people and culture. • The Insights Analytics team, dedicated to enhancing and streamlining access to meaningful data to improve every decision we make at EFG, is expanding. • This presents a unique opportunity to elevate our team’s capability, enabling the creation of valuable insights through the increased speed, accuracy, and availability of useful data. • Currently we are seeking a seasoned Senior Data Analyst! If you're a trailblazer in analytics and adept at building technical analytics functions, we invite you to join our journey. • In this role, your mission is to shape technical decisions and elevate team talent. • Do you want to guide a team with your analytical prowess? Join our cause in making data and insights a cornerstone of every decision in EFG. • Know your domain and ask all the whys relentlessly until you know the business and analytics needs inside-out. • You understand the unique data ecosystem that comes with every business domain and have opinions on best-in-class tools and practices for each. • Drive complex projects by breaking them into milestones and seeking to understand a problem well before committing to solutions and timelines. • Own projects end-to-end; drive each project by setting standards, tracking timelines, and communicating with brevity. • Inspire, teach, and guide your fellow team members, while being the heart-first, people-first team member everyone wants to be around.

Requirements

• You’ve built data solutions (dashboards, queries, data models) to answer key questions in the business, this is demonstrated by experience in calculating & measuring company KPIs, product funnels, user journeys, acquisition, churn, profitability metrics, and ROIs for multiple business units. • You’re an expert in seeking, defining, and calculating metrics that run a business and making them available to all. Your experience is solidified by your ability to separate between a vanity metric and a KPI. • You’re able to see the patterns and trends in data; you know what story it tells and how it correlates with the business. These patterns or insights are present regularly at all levels of management to influence decisions. • You think like a product/ business analyst when delivering insights by having a critical view of what a business partner needs to know to make a decision and drive an initiative. • You’re biased to action and understand the need to consistently ship deliverables to stakeholders. • You are an excellent communicator who loves explaining important insights in simple terms. You can synthesize multiple streams of data into actionable communication that will drive C-level decisions. • You’re comfortable helping non-data people interpret data and passing on your skills so they can improve their data literacy. • You know that just because a query is compiled, it doesn’t mean it’s done, you understand SQL & data retrieval concepts deeply enough to use query optimization engines to optimize the speed and accuracy of your results. • You’ve deployed and scaled company-wide BI solutions that must consider technical BI concepts such as; dashboard performance, data governance, ETL processing, scalability, and security/access control. Experience in Looker and Tableau is preferred, and Power BI is a nice-to-have. • You’ve deployed multiple centralized data models/ data marts and are familiar with the core concepts of data modeling such as; facts vs dimensions, entities, cardinality, normalization, relationships, Kimball vs. Inmon, and grain. Experience with DBT is preferred. • You’ve regularly practiced concepts of business statistics with a focus on descriptive statistics, inferential statistics, probability distributions, time-series analysis, forecasting, and multivariate analysis. Bayesian and predictive analytics (decision trees and random forests) are nice-to-have.