Mid-level/Senior Data Analyst

Job not on LinkedIn

October 11

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Gamers Club

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Somos a maior plataforma de esportes eletrônicos do Brasil. Fazemos isso pois somos apaixonados pelo mundo dos esports e queremos desenvolver a comunidade para ganhar cada vez mais espaço no cenário mundial.

51 - 200 employees

📋 Description

• Ensure the quality, consistency, and availability of the data used in strategic decision-making. • Translate data into business insights, supporting leaders and teams in defining strategies. • Collaborate with key areas and business stakeholders to understand requests and convert product needs into actionable analyses. • Support the advancement of a data-driven culture within the Gaming team, contributing to evidence-based decision making. • Ensure the reliability of metrics and data structures by validating rules and integrations. • Present results clearly and concisely to both technical and non-technical audiences. • Serve as a bridge between engineering, marketing, and executive teams, helping to connect technical performance with business impact. • Develop, optimize, and maintain queries and structures in SQL, the foundation of analytical work. • Perform data cleaning, transformation, and modeling (star schema, snowflake), ensuring consistency and organization. • Build and update dashboards and visualizations (Redash, Metabase, Looker). • Support engineers in interpreting and reviewing Python code, and contribute with automations and analytical scripts. • Build and execute ETL processes on Databricks. • Use code versioning (GitHub/GitLab) for change control and integration. • Apply statistical concepts to validate hypotheses and measure the impact of initiatives. • Support operations in cloud environments (AWS). • Generate analyses and reports on behavior, engagement, and performance within the Counter-Strike 2 ecosystem.

🎯 Requirements

• Advanced knowledge of SQL. • Python programming. • Visualization tools: Redash, Metabase, Looker, or similar. • Knowledge of data modeling and ETL processes. • Experience with Databricks. • Code versioning (GitHub/GitLab). • Applied statistics knowledge. • Knowledge of and familiarity with Counter-Strike 2 (CS2). • Active CS2 player, understanding the player journey and ecosystem metrics. • Basic knowledge of A/B testing and Machine Learning (plus). • Knowledge of AWS services (plus). • Experience with SaaS businesses (subscriptions, pirate metrics/AARRR, churn and LTV, CRM) (plus).

🏖️ Benefits

• Meal/Food allowance provided via a flexible card with a fixed monthly amount • National Health Plan (100% covered) • Dental Plan (100% covered) • Transportation allowance • Group Life Insurance • Childcare assistance • Private pension plan • Annual bonus tied to achievement of targets • Extended maternity and paternity leave • Day off (birthday) • Active, hands-on management to foster development and career visibility • Employee referral program • GC Premium, company-provided equipment, and an excellent work environment (on-site or remote)