Lead Data Analyst

Vaga não está no LinkedIn

🕒 Maio 8

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $119.558 - $134.750 / ano

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

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G2

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

🤝 B2B

☁️ SaaS

🏪 Marketplace

B2B • SaaS • Marketplace

G2 é o maior e mais confiável marketplace de software do mundo. Mais de 100 milhões de pessoas anualmente — incluindo funcionários de todas as empresas da Fortune 500 — usam o G2 para tomar decisões de software mais inteligentes com base em avaliações autênticas de colegas. Milhares de empresas de software e serviços de todos os tamanhos fazem parceria com o G2 para construir sua reputação e expandir seus negócios — incluindo Salesforce, HubSpot, Zoom e Adobe.

Descrição

• Provide descriptive and diagnostic analysis to inform product decision-making, evaluate performance and make tactical recommendations. • Support and guide project-based work using analytic tools to produce datasets for analysis. • Use BI tools to empower end users with timely, accurate and informative data and visualizations. • Design dashboards to monitor KPIs and business drivers and ensure all metrics are consistent with business strategy. • Discuss questions and hypotheses with external and internal customers based on deep data analysis, and act as the G2 Data SME, turn them into analysis and insights. • Lead team discussions and collaborates with technical and non-technical team members to solve business problems. • Provide guidance and coaching to jr. team members, helping them understand complex datasets/models/business requirements. • Identify opportunities to improve our reporting and additional data management tasks you discover in your analysis.

🎯 Requisitos

• Bachelor’s degree (foreign equivalent degree acceptable) in Data Analytics or a related field plus four (4) years of experience in data analysis role. • Must have four (4) years of experience in (experience may be gained concurrently): • designing dashboards and enabling self-serve analytics through Business Intelligence tools; • relational database modeling or experience in building reporting layers within Business Intelligence tooling; • Postgres and SQL databases; • performing QA on complex SQL queries for bugs, optimization and performance; • statistical programming with R or Python for the purposes of solving business Questions; • A/B testing and product analytics.

🏖️ Benefícios

• Offers Equity • Offers Bonus • Flexible work • Ample parental leave • Unlimited PTO