Business Data Analyst

Experience Level

Senior

We are looking for a Business Data Analyst who combines strong analytical thinking with business acumen to uncover insights that drive strategic and operational decisions. The ideal candidate is a self-starter who can partner effectively with stakeholders, define analytical requirements, and translate data into actionable business outcomes.

• 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.

• Strong business acumen with a track record of linking analytics to tangible business outcomes.
• Hands-on experience in SQL, Python, and data visualization tools (e.g., Qlik View, 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.

• Experience with data modeling, ETL processes, or cloud platforms (AWS).
• Exposure to statistical analysis, A/B testing, or predictive modeling.

Mid-Senior level

Full-time

Information Technology

Software Development