Responsibilities:
Gathering and understanding business needs and objectives.
Develop strategies for effective data analysis and reporting.
Configure, implement and control the quality of analytics solutions.
Manage data analytics team and produce project deliverables.
Measure the performance of the project and provide optimization suggestions.
Partner with the Data Engineering team to define and build reliable data sources.
Work directly with senior management and recommend solutions and feature improvements.
Requirements:
5+ years of experience in data, product analytics, or business intelligence. Bachelor's degree in any related field.
Comprehensive knowledge of e-commerce area, funnels, customer journey and pricing strategies.
Proficiency in SQL, Python, Excel.
Proven experience designing and enhancing dashboards using BI tools.
Experience turning complex data results into meaningful visualizations with clear insights .
Deep understanding of principles of building a data warehouse and data modeling.
Good communication skills, ability to communicate to both technical and non-technical audiences.
Familiarity with A/B testing.
Fluent English.
Nice to have:
Experience in statistical analysis methods.
Understanding of the SDLC principles.
Developing BI solutions.
Competitive salary based on your professional experience
Stable employment in the fast growing international company
Wide benefit system
Dynamic work environment
Ability to influence business and its results
Professional growth — you will attend free external and internal courses
Paid business trips and payment for participation in conferences
Paid corporate language classes (English, German, Polish)
Join us today and let’s create a success story together!
TELUS International
Lloyds Banking Group
PulsePoint
TELUS International
