Roboticket Sp. z o.o.

BI & Analytics Lead

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MidHybryda·PoznańFull-time

#457913·Dodano 26 dni temu·7

Źródło: nofluffjobs.com

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Tech Stack / Keywords

BIAPIAIData analyticsData visualizationData miningSQLSystem analysisBusiness analysis

Firma i stanowisko

Roboticket provides ticketing technology to sports clubs and leagues globally, focusing on data-driven solutions to enhance fan engagement and commercial performance.

Wymagania

Minimum 3 years of experience as a Data Analyst.
Fluency in English as the daily working language in an international environment.
Experience in data analysis, KPI design, and storytelling with data.
Ability to work independently from defining questions to presenting recommendations.
Clear communication skills with both business and technical teams.

Nice to have:

Knowledge of SQL.
Experience in system analysis.
Experience in business analysis.

Obowiązki

Own and develop Roboticket’s reporting and analytics offering for clubs and leagues, setting priorities and shaping its roadmap.
Work directly with clubs and leagues to understand their business needs and translate them into clear analytical questions.
Define meaningful KPIs covering ticket sales, revenue, attendance, fan engagement, and retention.
Build, maintain, and improve dashboards, reports, and analyses using AWS Quick and data sources such as PostgreSQL.
Use AI to automate reporting and analysis, identify trends and anomalies, and develop proactive insights and recommendations.
Turn analytical findings into practical recommendations to help clubs improve commercial performance and understand their fans.
Collaborate with engineering teams to ensure data accuracy, consistency, and reliability behind reports.
Support clubs and leagues in using analytics in daily decisions, gather feedback, and improve delivered tools continuously.

Benefity

Impact on strategic decisions for clubs and leagues with hundreds of thousands of fans.
Autonomy in approach to analysis and problem solving.
Work with modern BI tools including AWS Quick and participate in data-driven innovation projects.
Flexible cooperation model with hybrid and remote options.
Work in English or Polish.
Free coffee.
Bicycle parking.
Shower facilities.
Free lunch.
Free parking.
Modern office environment.
Startup atmosphere.
No dress code.

Elastyczne godziny

Parking dla rowerów

Prysznic

Napoje w biurze

Firmowa stołówka

Parking dla aut

Roboticket Sp. z o.o.

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