Data Analyst

A leading healthcare organization is looking for a Senior Marketing & Customer Analytics Analyst to join its Marketing & Customer Service Division.

In this role, you'll lead analytical initiatives that support customer journey optimization, marketing performance, and strategic business decision-making. You'll work with large-scale data, advanced BI tools, and cross-functional stakeholders to deliver meaningful business insights.

Key Responsibilities

• Lead analytical activities across customer journeys, written communications, and marketing initiatives.
• Analyze Marketing Automation and Omnichannel performance while driving process optimization.
• Collect, process, and analyze data from multiple enterprise systems, including CRM, ERP, AS400, and Power BI.
• Work with large datasets and integrate information from multiple data sources.
• Generate business insights and actionable recommendations to improve performance and customer experience.
• Define, monitor, and analyze business KPIs.
• Design, develop, and maintain dashboards using Power BI and Excel.
• Identify trends, anomalies, and opportunities through data analysis.
• Build business case and profitability models.
• Provide ongoing analytical support to senior stakeholders and business units.

Requirements

• Bachelor's degree in Economics, Statistics, Computer Science, Industrial Engineering, or a related field.
• 3–5 years of experience as a Marketing Analyst in a large service-oriented organization.
• Advanced proficiency in Microsoft Excel.
• Hands-on experience with SQL.
• Experience building dashboards for Marketing, Sales, or Customer Service.
• Strong ability to translate business needs into data-driven solutions.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Why Apply?

• Join a leading organization in the healthcare sector.
• Influence strategic business decisions through data and analytics.
• Work with advanced BI tools and enterprise-scale datasets.
• Collaborate with cross-functional teams on impactful initiatives.
• Enjoy professional growth in a dynamic, data-driven environment.