PW (PhysicsWallah)

Product Analytics Manager

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Wildlife Studios

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Wildlife's Cloud Economics team in São Paulo, Brazil seeks a Data Engineer to build and maintain a data lake, consolidating information from various sources.  Responsibilities include ETL processes, enhancing data discovery, identifying unused data for optimization (sampling, deletion, storage migration), proposing data modeling improvements (table partitioning, migrating to delta tables), and developing a cost allocation data lake for major technology providers.  The ideal candidate is highly analytical, proactive, and results-oriented, contributing directly to company success.  This role demands strong SQL and Python programming skills, AWS experience, and knowledge of Airflow or similar workflow tools.

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 We're looking for a talented and passionate Data Engineer 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.&nbsp;
As a Data Engineer, you will be responsible for gathering all the information needed into the data lake; build and maintain such a lake permanently. You will also play a key role in developing the analyses and algorithms that identify the patterns and type of usage of our data that allow us to find opportunities to improve its usage and storage.
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.&nbsp;
<h2>What you’ll do</h2>
<ul>
<li>Be part of a high-output team, directly contributing to company results;</li>
<li>Build the required date lakes and do the corresponding ETL in order to be able to consolidate and query information about multiple data sources;</li>
<li>Enhance our data discovery capabilities;</li>
<li>Identify unused data and propose how to handle it (sampling, deletion, move to colder classes of storage);</li>
<li>Find and propose data modeling optimizations across the data lake to avoid inefficiencies like duplicated data, data normalization, data types, etc. (table partitioning, migrating to delta tables);</li>
<li>Develop an internal cost allocation data lake for our most significant technology providers.</li>
</ul>
<h2>What you'll need</h2>
<ul>
<li>University degree in courses related to computing such as Computer Engineering, Computer Science or a related field;</li>
<li>Solid experience working as a data engineer on technically challenging problems;</li>
<li>Proficiency in programming with SQL and Python;</li>
<li>Experience creating data pipelines;</li>
<li>Knowledge and experience with AWS;</li>
<li>Knowledge and experience with Airflow or other workflow management tool is a differential.</li>
</ul>
<h2>More about you</h2>
<ul>
<li>You are a resourceful person with a go-getter attitude;</li>
<li>You are passionate about the data industry and thirsty for innovation;</li>
<li>You are not afraid to propose and explore new initiatives;</li>
<li>You are a determined and metrics oriented engineer who wants to deliver results;</li>
<li>You have an analytic mindset and focus on ensuring visibility to your clients and peers;</li>
<li>You are passionate about working on and solving problems;</li>
<li>You are a team player. You're willing to help out wherever needed.</li>
</ul>
<h2>About Wildlife</h2>
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, Finland and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
<h2>Equal Opportunity</h2>
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 reasonable accommodations for candidates with disabilities in our recruiting process.

 

 
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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

As the Product Analytics Manager, you will lead the product analytics function, shape the data strategy, ensure the delivery of product insights, and foster team growth. You'll report trends and analysis to leadership for critical decision-making. Key responsibilities include leading and developing a team of 3-5+ Product Analysts, defining the organization's product analytics vision, and upskilling team members. You'll drive trend analysis, design dashboards, and develop a data warehouse strategy.  Additionally, you'll provide expertise in data analytics techniques, identify data gaps, and automate reporting.  You'll share key trends and insights with leadership and work with cross-functional teams to drive data-driven initiatives.

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 Job Description: Product Analytics Manager Overview: As the Product Analytics Manager, you will be responsible for leading the product analytics function within the organization. You will shape the data strategy, ensure the delivery of product insights, and foster the growth of your team members through upskilling. This is a high-impact role, reporting trends and analysis to leadership to drive critical decisions. Key Responsibilities: Leadership &amp; Team Development: <ul><li>Lead the product analytics vertical, managing a team of 3-5+ Product Analysts.</li><li>Define the organization’s product analytics vision and ensure its alignment with overall business goals.</li><li>Take ownership of upskilling team members, fostering a culture of learning and continuous improvement.</li><li>Mentor and guide the team in advanced product analytics techniques, ensuring high performance and growth.</li></ul>
 Functional Expertise: <ul><li>Drive trend analysis around growth across multiple business &amp; product dimensions and present key findings to leadership.</li><li>Design and operationalize dynamic dashboards covering core business &amp; product metrics and trend visualizations (e.g., charts, graphs, heatmaps).</li><li>Develop and execute a comprehensive data warehouse strategy, ensuring the integrity and accessibility of data sets.</li></ul>
 Data Analysis &amp; Problem Solving: <ul><li>Provide expertise in data analytics techniques such as exploratory analysis, causal inference, experimentation, and machine learning where applicable.</li><li>Identify and close data gaps by collaborating with relevant teams and ensuring data is collected to meet organizational needs.</li><li>Automate reporting using Python, Metabase, or other tools, creating scalable solutions for online and offline data systems.</li><li>Implement best practices in data handling, ensuring accuracy, consistency, and availability of insights.</li></ul>
 Trend Sharing &amp; Stakeholder Management: <ul><li>Own the responsibility of sharing key trends and insights with leadership to guide strategic decision-making.</li><li>Communicate technical concepts clearly and concisely to both technical and non-technical stakeholders.</li><li>Work closely with cross-functional teams to drive data-driven initiatives and execute business strategies.</li></ul>
 To Succeed In The Role: Qualifications &amp; Experience: <ul><li>B.tech, MCA or related areas.</li><li>7+ years of experience in Data Analytics with 3+ years in Product domain, with a focus on leading teams and delivering data strategies.</li><li>Experience in Ed-Tech is a plus</li></ul>
 Skills &amp; Expertise: <ul><li>Strong business acumen &amp; product thinking with the ability to drive data strategy and provide actionable insights for business growth.</li><li>Expertise in SQL, GA4 , Google Analytics, Firebase Analytics, BigQuery, Python, Advanced Excel, Google Sheets, PowerBIand quantitative programming.</li><li>Experience working with large datasets and applying data engineering best practices.</li><li>Proven ability to create, manage, and optimize data pipelines and warehouses.</li></ul>
 Technical Competency: <ul><li>Ability to convert data into actionable reports with real-time data fetching.</li><li>Proficiency in developing business use cases through thorough data analysis.</li></ul>

 
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