Peak Games
Summary
The job is for a Data Analyst in the Big Data & Business Intelligence team of a gaming company. The role involves analyzing and interpreting large sets of data to provide insights that inform business decisions. The Data Analyst will work closely with the Product, Marketing, and Engineering teams to develop and optimize data resources, conduct exploratory data analyses, build predictive models, and collaborate on A/B testing. The ideal candidate should have a university degree in a STEM field, strong knowledge of SQL, and an interest in mobile casual games. The company offers a fast-paced environment, learning and development opportunities, and full health benefits.
Job description
As a Data Analyst, you will be a part of our Big Data & Business Intelligence team, which develops, designs, deploys, and supports our data platforms to provide more visibility about our products’ performance. You will be working closely with our Product, Marketing and Engineering teams and you will be responsible for analyzing and interpreting large sets of data to deliver insights that inform business decisions.
If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!
Here's what you’ll do
- Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
- Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
- Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
- Work closely with product teams to model, simulate, and help fine-tune the game’s internal economy
- Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing Specialists to make data-informed decisions: dashboards, reports, ad-hoc queries, and insightful observations
- Collaborate with different teams to drive, implement and analyze A/B testing results
- Build predictive models and leverage machine learning algorithms
- Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis
- Work with our tech stack:
- dbt (Data Build Tool)
- Snowflake
- Looker, Hex, Streamlit
- Airflow
Desired skills and experiences
- University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
- Strong knowledge of SQL; excited to learn new languages when needed
- Python knowledge is an advantage
- Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
- An interest in mobile casual games
- Excellent attention to detail, natural curiosity and ability for creative problem-solving
- Strong written and oral communication skills
- Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
Areas in which you'll continue to grow
- Proficiency in extracting, processing and modeling huge amounts of data
- Working with one of the richest and largest datasets of the technology industry
- Proficiency in data analytics and data visualization tools
- Ability to initiate, drive, and improve product decisions thanks to the evolving role of data in a fully data-driven environment
Working at Peak
- Fast-paced environment with a tight-knit and collaborative culture
- Never-ending learning and development opportunities
- Relevant conferences abroad to stay up to date with the latest industry trends
- Team events and trips
- We support your personal and professional development with challenging projects and regular feedback
- Full health benefits
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Location: Full-time
Country: null
Date found: 2023-03-22