Senior Data Analyst

BCforward; United States; On-site; USD 70,000 - 90,000; Full time

Job summary

BCforward is seeking a Customer Experience Analyst to join their team in the United States. This 12-month position plays a key role in leveraging customer insights to promote customer satisfaction and loyalty while collaborating with cross-functional teams. The ideal candidate will have a strong technical background in marketing, skilled in SQL and Python, and ideally hold an advanced degree in a quantitative field. This role is essential for shaping the organization's customer experience program.

Qualifications

• Very technical background with marketing experience.
• Proficient in SQL for managing temporary tables.
• Strong skill set in Python Pandas and data analysis.

Responsibilities

• Analyze customer feedback to drive business improvements.
• Collaborate with teams to implement strategies enhancing customer experience.
• Leverage customer insights to promote customer-centric decision-making.

Skills

Technical with marketing background

Temporary tables in SQL

Python Pandas

Data modeling (regression, NLP)

Education

Master's or Ph.D. in a quantitative field

Job description

Duration: 12 months with possibility of extension

Direct Client

Job Description:

As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.

Required:

• Very technical with marketing background
• Comfortable with temporary tables in SQL
• Strong skills in Python Pandas and data structures
• Experience with data modeling (regression, NLP).
• Master's or Ph.D. Degree in a quantitative field preferred, not as important Academic coursework can replace some years of experience