About the position
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problems by leveraging techniques such as machine learning, segmentation, optimization, and advanced analytics. Develops models to inform strategic marketing initiatives.
Responsibilities
- Develops advanced analytics solutions including predictive models, customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems.
- Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
- Collaborates with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
- Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
- Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
- Manages multiple priorities, communicate business performance and project progress to management & business partners.
- Consistently follows standard work processes and documentation requirements.
- Recommends improvement to work processes to increase efficiency while maintaining quality of work.
- Continuously improves technical and leadership skills through training and development.
Requirements
- Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Data Science, or related fields.
- Up to 3 years of experience in data analysis, data science, or a related field.
- Experience in the gaming industry is a plus.
- Familiarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous.
- Proficiency in SQL and Python, as well as machine learning (e.g. XGBoost, LightGBM, Scikit-Learn) and analytical libraries for analyzing and modeling data.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
- Excellent verbal and written communication skills.
