Our client is a multinational digital brand serving the iGaming industry for the last 15 years with innovative advertising and technology solutions.
What is my department like?
Our team transforms data into actionable insights that drive strategic decisions and innovation. We extract valuable information from diverse sources to guide the Management Team and support operational teams in tracking key business metrics. By designing efficient data storage strategies and leveraging advanced technologies like machine learning and AI, we uncover patterns that fuel new processes and smarter business strategies, leading the way toward a data-driven future.
What is my role like?
Reporting into the Chief Analytics Officer, this person will be focused on leveraging advanced data analytics and technology to drive business optimization.
What will my daily tasks involve?
- Analytical ability for data processing, modeling, and visualization using programming languages and analytics technology (not exhaustive): Python, SQL, AWS (Redshift, S3, SageMaker, Glue), PowerBI.
- Ability to use machine learning models and other AI technologies for correlation, clustering, forecasting, and other data analyses.
- Ability to learn the business and understand how numbers and KPIs link operations with the companys future results.
- Ability to communicate with different teams and understand information usage needs to help operational areas optimize the business using data models.
- Ability to design and structure data architecture and flows within a company.
- 5+ years of experience with a passion and capability for the technical implementation of necessary analyses and models.
What is expected from me?
- Proficiency in programming and associated tools: Python, SQL, Git, AWS/GCP/Azure tools, Data Lakes, among others.
- Ability to manipulate data in data frames or similar technologies.
- Skill in selecting and using appropriate visualization models.
- Ability to apply statistical modelspattern detection, hypothesis testing, regressions, forecasting-on data models.