Analytics Engineer

We're looking for a talented and passionate Analytics Engineer, to join Wildlife's Analytics & Insights team.

Analytics is an integral part of the product development cycle at Wildlife, informing every day-to-day decision from priorities to the release or not of a new feature. It is also fundamental for the management of the company as a whole, guiding resource allocation and investment decisions based on measured performance. Our products and services speed up the analytical work of game PMs and data scientists, as well as bring transparency to business performance for company executives and game general managers. We believe that the data we use and how we look at it creates incentives that deeply influence our company's operation.

As an Analytics Engineer, you will have a key role in designing and maintaining all of our core data ecosystem: from the pipelines that handle billions of events on a daily basis and are used across the company to the BI tool that helps visualize it all. You will have an important role in defining and refining metrics and KPIs that game teams should track to assess their performance, while assisting Data Scientists and others to better analyze their data. You will also be supported by a high-performance multidisciplinary team and mature data stack.

We know that the work we do has a high impact on our company's success and culture. The right person for this position is curious by nature, and comfortable in a "take the initiative" environment, loves solving problems, and can thrive in a fast and growing business. 

• Be part of a high-output team, directly contributing to company results;
• Conduct high-quality analyses and explorations to help game teams better understand and visualize their data;
• Build the required ETLs in our data lake in order to be able to consolidate and query information about multiple data sources;
• Enhance our data discovery capabilities ad-hoc and in our BI tool;
• Improve our Data Quality validation processes, ensuring all the data we process and make available is correct and trustworthy;
• Find and propose new developments and optimizations, focusing on better data modeling approaches and analytics capabilities.

• University degree in courses related to computing such as Computer Engineering, Computer Science, Data Science, Analytics or a related field;
• Solid experience working as a data engineer, analytics engineer, or BI engineer on technically challenging problems;
• Demonstrated experience with SQL and PySpark;
• Solid experience creating and maintaining data pipelines;
• Solid experience optimizing data models and processes;
• Knowledge and experience with cloud computing such as AWS or GCP;

• Experience with tools and services like Terraform, Kubernetes, and different database management systems.

• You are a resourceful person with a proactive attitude;
• You are passionate about the data industry and thirsty for innovation;
• You are not afraid to propose and explore new initiatives;
• You are a determined and metrics-oriented engineer who wants to deliver results;
• You have an analytical mindset and focus on ensuring visibility to your clients and peers;
• You are passionate about working on and solving complex problems;
• You are a team player, willing to help out wherever needed.

Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Argentina, Ireland, and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!

Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

We're committed to providing accommodations for candidates with disabilities in our recruiting process.