????Playson is a B2B game provider with 11 years of experience on the market. Since 2012 we have ambitiously developed worldwide recognition in the industry. Nowadays, our primary focus is on regulated European Markets, and we operate in 20+ different jurisdictions. As of 2023, we continuously enhance our portfolio, encompassing best practices to meet the highest technology, design, support, and interoperability standards.

Our mission:
Deliver entertainment and satisfaction to the lives of the busy world.

We seek a talented Business Intelligence Leader to join Playson.

Responsibilities:

― Analyzing, visualizing, and communicating insights from our data regularly and ad-hoc.

― Coordinating access, ingestion, and storage of data from various corporate sources to ensure consistency and reliability.

― Guiding stakeholders through a compelling data-driven story to nurture optimized decision-making across technical, product, and commercial business functions.

― Defining and owning the data strategy for Playson based on current business priorities.

― Exploring and adopting new technologies and services for a better data-driven culture.

― Designing effective and clean reports in the internal BI tools and Redash.

― Making meaningful predictions using data.

― Promoting data literacy in the organization and educating the stakeholders to use existing and new data tools (e.g., through newsletters and internal training).

― Sharing knowledge, establishing best practices, and questioning the status quo.

Requirements:
― Proven track record of successful work as a data scientist, data analyst, or BI analyst in a gambling/fintech company.
― Good problem-solving skills and a high level of self-sufficiency.

― Advanced skill in querying data using SQL, Python, or Equal.

― Good knowledge of Redash and QlickView.

― Strong communication skills and ability to collaborate with engineers and stakeholders to solve problems.

― Strong presentation and data visualization skills and great attention to detail.

― Ability to describe complex topics in simple terminology.

― Good level of spoken and written English (Upper+).

As a plus:

― STEM degree or equivalent experience.

― Knowledge of Clickhouse.

― Experience with the online gambling industry domain.

― Practical knowledge of Machine Learning and Deep Learning packages is welcomed.

― Pet projects and hobbyist interests in data analysis and machine learning outside work are welcomed (e.g., Kaggle competitions).

― Practical experience with workflow management tools (Jira) and collaboration software (Confluence).