Business Intelligence Analyst

14 Hours ago • All levels

About the job

SummaryBy Outscal

Join Wildlife's Cloud Economics team in São Paulo, Brazil as a Business Intelligence Analyst. Build and maintain visualizations for IT infrastructure costs, usage, and performance. Develop cost forecasting models, propose KPIs, and identify performance issues. Requires strong experience in data visualization tools (Looker), SQL, and Python. Experience with Databricks and AWS is highly desirable.


We're looking for a talented and passionate Business Intelligence Analyst to join Wildlife's Cloud Economics team in São Paulo, Brazil.

The mission of the Cloud Economics team at Wildlife is to have world-class productivity and efficiency across the company by finding and further investigating efficiency opportunities related to the usage and/or provisioning of technology resources.

As a Business Intelligence Analyst, you will be responsible for building and maintaining the visualization layer for costs, usage and performance of WLS’ IT Infra. You will also play a key role in determining how metric targets are established for our games and in improving cost governance through proper resource allocation.

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. 

What you'll do

  • Be part of a high-output team, directly contributing to company results;
  • Build visualization layers to a) get insights about our IT operation, and b) expose that information to a company-wide audience;
  • Propose relevant KPIs to monitor costs and performance;
  • Develop a cost forecasting model according to the business drivers of each game;
  • Propose how to determine metric targets for the games;
  • Provide insights that allow us to identify potential performance issues / avoid deviations in costs;
  • Improve cost governance by ensuring resources are properly allocated.

What you'll need

  • 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 BI or data analyst on technically challenging problems;
  • Proficiency in data visualization tools (e.g. Looker);
  • Knowledge and experience with SQL and Python;
  • English advanced level
  • Knowledge and experience with Databricks and AWS is highly desirable.

More about you

  • You are a proactive, resourceful person with a go-getter attitude;
  • You thrive in radically changing environments;
  • 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 person who wants to deliver results;
  • You have an analytic mindset and focus on ensuring visibility to your clients and peers;
  • You are passionate about working on and solving problems;
  • You are a team player. You're willing to help out wherever needed.

About Wildlife

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. Here, we create games that will excite, intrigue, and engage our players for years to come!

Equal Opportunity

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. 

About The Company

Explore gaming industy jobs in one of the leading Game Studios.

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

State Of São Paulo, Brazil (On-Site)

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