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À propos
This role is additional coverage for a team member on maternity leave, and you will be taking over additional duties beyond this specific scope as needed. These include maintaining forecasting models, assisting in franchise reporting and estimation, and collaborating with other data science vendors in the Beyond the Game space. Specific responsibilities include making recommendations to optimize business performance and evaluating the impact of various programs and initiatives on critical metrics, including tying out of game activities to in-game metrics. The ideal candidate will have experience with statistical analysis, data visualization tools, and strong communication skills to translate insights into actionable recommendations for both technical and non-technical stakeholders. Responsibilities: Partner with Consumer Products team and PADI data engineering to turn our Consumer Products data into clear reporting and actionable insights. Identify key learnings from your analysis and synthesize them into recommendations for stakeholders. Work collaboratively with other PADI data scientists to incorporate Beyond the Game findings into relevant major analyses and franchise beats. Conduct data analysis as requested for stakeholder groups across Partnerships, Marketing and Consumer Products, including understanding ROI of out-of-game initiatives and optimizing for in-game metrics. Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data. Maintain dashboards in PowerBI that enable stakeholders to understand the business and supporting onboarding to other self-service tools. Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Qualifications: 5 years of experience in data analytics. 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer. 2 years of experience with dashboarding tools, PowerBI preferred. Proficient in Python, bonus if familiar with PySpark. Able to work in a collaborative, diverse and fast-paced team. Excellent analytical, and problem-solving skills and autonomy when faced with solving data problems. Excellent verbal, visual and written communication skills. Interest in games, bonus if experience in gaming industry. Local to Seattle area. Salary Range: $1,66,400 - 1,70,400 Annually - Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!
Compétences linguistiques
- English
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