Description

Key Responsibilities

• Partner with business stakeholders to understand objectives, define KPIs, and translate them into measurable metrics (building data pipelines, KPI creations, and root cause analysis).
• Generate hypotheses, analyze data to validate or refute them, and deliver insights that inform business strategies.
• Collaborate with cross-functional teams to gather requirements and translate business needs into data solutions.
• Develop and maintain dashboards, reports, and visualizations to track performance and trends.
• Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Use Python (or similar scripting tools) for deeper analysis, automation, and model development.
• Present findings and recommendations to business and technical teams in a clear, compelling way.

Qualifications & Skills

Must Have:

• Hands-on experience in SQL, Python, and data visualization tools (e.g., QlikView, Qlik Sense, Tableau).
• Strong problem-solving and critical thinking skills, including hypothesis-driven analysis.
• Proven ability to work independently and manage multiple priorities in a fast-paced environment.
• Excellent communication and stakeholder management skills.

Nice to Have:

• Experience with data modeling, ETL processes, or cloud platforms (AWS)

Key Skills

Education

Any Gradute