Lead Data Analyst

EPAM Systems; Brasil; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a Lead Data Analyst to drive the full analytics lifecycle, partnering with cross-functional teams to uncover actionable insights, build robust reporting systems, and solve complex strategic problems through rigorous data analysis.

You will lead data collection, modeling, visualization, and real-time KPI dashboards, defining success metrics and monitoring performance to support data-driven decisions at scale.

Qualificações

• 5+ years of experience in data science or data analysis.
• Proficiency in data collection, data modeling, and visualization.
• Hands-on experience performing ad hoc analyses and research.
• Proven ability to build reports and KPI dashboards for real-time performance monitoring.
• Strong capability to define critical success metrics and KPIs.
• Experience structuring complex and ambiguous strategic problems.
• English proficiency at B2 level or higher.

Responsabilidades

• Lead the full analytics lifecycle: requirement gathering, data collection, data modeling, visualization, analysis, and actionable insights.
• Identify issues, form hypotheses, and run deep-dive analyses to convert data into actionable insights and recommendations for internal partners.
• Enable the organization to stay highly data-driven as it scales by delivering ad hoc analyses, conducting research, and building reports and KPI dashboards for real-time performance monitoring.
• Collaborate with cross-functional teams to understand analytical needs, including defining critical success metrics and KPIs, and provide actionable insights that support business strategy.
• Structure complex and ambiguous strategic problems into clear analytical approaches.
• Monitor key performance metrics and determine root causes of metric changes.

Conhecimentos

Data analysis

Data modeling

Visualization

Ad hoc analyses

KPIs definition

Cross-functional collaboration

Descrição da oferta de emprego

We are looking for a Lead Data Analyst to drive the full analytics lifecycle and empower the organization to make data-driven decisions at scale. In this role, you will partner with cross-functional teams to uncover actionable insights, build robust reporting systems, and solve complex strategic problems through rigorous data analysis.

Responsibilities

• Lead the full analytics lifecycle: requirement gathering, data collection, data modeling, visualization, analysis, and actionable insights
• Identify issues, form hypotheses, and run deep-dive analyses to convert data into actionable insights and recommendations for internal partners
• Enable the organization to stay highly data-driven as it scales by delivering ad hoc analyses, conducting research, and building reports and KPI dashboards for real-time performance monitoring
• Collaborate with cross-functional teams to understand analytical needs, including defining critical success metrics and KPIs, and provide actionable insights that support business strategy
• Structure complex and ambiguous strategic problems into clear analytical approaches
• Monitor key performance metrics and determine root causes of metric changes

Requirements

• 5+ years of experience in Data Science or Data Analysis
• Proficiency in data collection, data modeling, and visualization
• Hands-on experience performing ad hoc analyses and carrying out research
• Demonstrated ability to build reports and KPI dashboards for real-time performance monitoring
• Strong capability to define critical success metrics and KPIs
• Proven track record of structuring complex and ambiguous strategic problems
• Solid understanding of root causes behind shifts in key performance metrics
• English proficiency at B2 level or higher

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.