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Descriere și cerințe
We are looking for a dedicated Advanced Data Analyst to join our UGX and Player Safety team. Reporting to the Senior Manager of Analytics, you will play an important part in meeting the increasing demand for data-driven insights that shape our decision-making processes. Working within an exciting and cross-functional environment, you will collaborate with several teams to deepen engagement and improve retention of our players.
You will foster relationships and collaborate with several data professionals across the organization and be challenged by complex data systems. Your responsibilities may span diverse projects across UGX, with a focus on improving the UGC search experience through advanced analytics.
Hybrid or remote work available. Preferably in Vancouver but open to all of Canada.
Responsibilities
- Partner with Product Managers to analyze the impact of products and solutions within the game and provide applicable recommendations to affect future iterations.
- Craft KPIs to guide the success strategy for user generated content search experience in game.
- Analyze performance and effect of ML models on player experience to influence data scientists on future iterations.
- Profile, clean and analyze data through SQL, R/Python and other database technologies.
- Identify data quality issues, assess downstream impact and propose practical solutions.
- Partner with data engineers, architects and QV to develop ETLs and stored procedures.
Qualifications
- A degree in a quantitative discipline (Statistics, Data Science, Business, Mathematics, Economics)
- 5+ years of experience doing complex quantitative analysis to help guide decisions, in a consumer products-oriented industry (e.g. gaming, entertainment, e-commerce)
- Advanced knowledge in SQL and relational databases with proficiency analyzing large datasets in programmatic analysis tools (e.g. Python, R)
- Advanced in dashboard development (i.e. Looker, Tableau, PowerBI)
- Experienced with experimental design and applied statistics
- Practical experience with statistical models
- Direct experience working with user generated content or search solutions preferred