Data Analyst (вакансія неактивна)

GAMINGTEC — smart gaming platform.
We develop and provide innovative solutions for iGaming Industry by constantly improving our software platform and designing new products.

What You Bring To The Role:
— 2+ years of work experience as a Data Analyst (experience in Gaming as a plus);
— Knowledge and experience with data storage and ETL pipelines;
— Full proficiency in SQL and Excel;
— Experience with BI tools like a Power BI, Data Studio, Qlik, Tableau;
— Ability to work with a large scale databases, warehouses, IT platforms and systems;
— Ability to translate business requirements into non-technical, lay terms;
— Experience in building intuitive and clear reporting;
— High-level written and verbal communication skills;
— Intermediate or higher English level.

We offer:
— Being a part of an international team focused on excellence in product development;
— High-level compensation and regular performance-based salary and career development reviews;
— Flexible schedule and opportunity to work whether in a big comfortable office located in a city centre or remote;
— Opportunities for professional development and personal growth;
— Flexible vacation and sick leave policy;
— Medical insurance;
— Support from colleagues and automatization of time-consuming processes;
— Compensation for courses, conferences, workshops, etc.;
— Summer corporate retreat and regular team-buildings;
— Sports activities;
— Referral program;
— Free corporate English lessons;
* and if you’re also a cat lover, it’s 100% match.

What You Get To Do:
— Apply data analysis or data modeling techniques to establish, modify or maintain complex data structures;
— Collect and interpret data, provide insights to the leadership team;
— Research business objectives and data requirements of the business stakeholders to ensure that developed models and reports meet their needs;
— Generate ad-hoc and automation reports, implement interactive dashboards;
— Design and analyze A/B tests;
— Analyze product metrics to improve the product and KPIs increase ;
— Acquire data from the data sources and maintain databases;
— Investigate cases with the inconsistencies and anomalies in the data;
— Manage and design the reporting environment;
— Troubleshoot the reporting database environment and reports.