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Analytics Engineer

Analytics Engineer

Department: Data

Employment Type: Full Time

Location: Remote

Description

All the responsibilities we'll trust you with:

• You’ll design, develop, and maintain efficient data architecture and infrastructure for seamless data collection, storage, and processing.
• You’ll implement and optimize data pipelines, enabling smooth data flow from diverse sources to data repositories.
• You’ll collaborate with stakeholders to define scalable and secure data models that meet data requirements.
• You’ll establish and maintain data governance and security protocols, ensuring data integrity and compliance.
• You’ll collaborate with the analytics team to develop impactful KPI dashboards, reports, and visualizations based on data needs.
• You’ll work closely with marketing teams to integrate and analyze marketing attribution data for effective user acquisition and retention strategies.
• You’ll proactively monitor data quality, address issues, and implement data validation processes.
• You’ll stay up-to-date with emerging technologies and industry best practices to enhance our data infrastructure.

What you'll bring to the team:

• Strong data engineering skills, including expertise in data architecture, ETL/ELT processes, and data warehousing.
• High proficiency in SQL for data manipulation, querying, and database management tasks, such as table creation, index definition, and access permission management.
• Experience with at least one programming language like Python, Java, or Scala for scripting and data processing.
• Experience with the modern data stack (tools like BigQuery, Snowflake, dbt, Looker, Airflow, github and command line-based workflows) and a hunger to work in that domain
• You understand the importance of data modeling and have knowledge of star schemas
• Understanding of marketing attribution data and its integration into data analysis.
• Excellent problem-solving skills and the ability to design scalable data solutions.
• Strong communication skills for effective collaboration and conveying complex ideas.
• Fluency in English (written and verbal).
• Preferable experience with Metabase and Clickhouse.
• Preferable experience with machine learning and automation techniques for data analysis and prediction.
• Ideally familiarity with Web3 technology and the gaming industry.

Why you'll love working with us:

• We’re 100% remote, work wherever you want forever!
• We offer unlimited holidays and sick days. Take as much time off as you need, to spend time with your family and friends or just because you feel like playing games all day. We trust our team and want to offer a modern work life balance that allows you to thrive both at work and in your personal life.
• You’ll be able to make an impact, to work closely with the rest of the team and its leads to work on one of the most promising upcoming games in the mobile gaming industry and the Web3 space.
• You’ll have a comfortable work schedule and stable workload. With a variety of tasks that will allow your constant professional development.
• We want our team to grow personally and professionally and support learning opportunities, especially with a focus around new AI tools and methods.
• We have a culture that puts our people first. We believe in open communication, creativity and the value of unique contributions from everyone in the team.
• We offer a competitive salary in addition to equity option plans.