customer insights data analyst -remote

Duration: 6+ months

Must have a valid LinkedIn profile

Must have previous Pharma experience

Based in EST or CST zone only

We are seeking a multi-faceted individual to fill the role of Customer Experience Insights & Foresights Data Analyst. In this position, you will play a pivotal role in helping our organization reimagine customer experiences through the lens of Supply Chain, focusing on prioritization, capabilities, metrics, and operational frameworks. This role will involve a clear transition from strategy to execution, with a strong emphasis on both quantitative and qualitative analysis.

Responsibilities

• Utilize various data sources, including operational data (transactional), experiential data (surveys, interviews, field research, focus groups), to identify insights and opportunities for enhancing customer experiences
• Work on high-priority/value use-cases such as contracting experience, digital surgery, returns, and disputes
• Process and analyze data to derive actionable insights, while also understanding and optimizing data sources and systems integration
• Collaborate with cross-functional teams to report findings and drive strategic decision-making
• Engage in front-end engineering and visualization to deliver insights effectively, using tools such as Qualtrics (strongly preferred), or similar platforms
• Interface with the data science team, utilizing SQL
• Familiarity with real-time customer journey management software, such as Cemantica, is desirable
  
  

Qualifications

• Mid-level to senior experience in data analysis, preferably in a customer experience or related domain
• Proficiency in SQL for data manipulation and analysis
• Strong analytical skills, with the ability to process both quantitative and qualitative data
• Experience with customer journey management software, preferably Cemantica
• Experience with data visualization tools, preferably Qualtrics
• Excellent communication and collaboration skills, with the ability to translate data insights into actionable recommendations
• Ability to manage multiple priorities and thrive in a fast-paced environment
• Bachelor's degree in a relevant field (e.g., Data Science, Business Analytics, Computer Science), or equivalent experience