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James Scutt
  • Home
  • About James
  • Ventures
    • CX Career Coach
    • CX Accredited
    • ChefCX
    • XMCentric.com
  • Keynote Speaking
  • Linkedin
  • Contact
  • More
    • Home
    • About James
    • Ventures
      • CX Career Coach
      • CX Accredited
      • ChefCX
      • XMCentric.com
    • Keynote Speaking
    • Linkedin
    • Contact

Home | Role Profiles | Career Levels | Resources | FAQ

CX Career Coach > Role Profiles > Data Analyst (Customer Insights)

Role Profile: Data Analyst (Customer Insights)

Overview

The Data Analyst (Customer Insights) is responsible for interpreting and analysing customer data to provide actionable insights that drive business decisions. This role focuses on understanding customer behaviour and preferences to inform marketing strategies and improve overall customer experience.

Key Responsibilities

  • Collect and manage customer data from various sources, including surveys, sales records, and website analytics.

  • Analyse data to discover trends, patterns, and relationships that can inform marketing and product strategies.

  • Create visualisations and reports to communicate findings to stakeholders.

  • Collaborate with marketing and product teams to develop targeted campaigns based on insights.

  • Monitor and evaluate the effectiveness of customer-focused initiatives over time.

Required Skills

  • Proficiency in data analysis tools such as Excel, SQL, and data visualisation software (e.g., Tableau, Power BI).

  • Strong analytical and critical thinking skills to interpret complex data sets.

  • Good communication skills for presenting insights clearly to non-technical audiences.

  • Attention to detail and an ability to work with large datasets.

Education/Experience:

  • Bachelor’s degree in Data Science, Statistics, Marketing, or a related field.

  • Experience in a data analysis role or internship focusing on customer data is preferred.

Career Path

Opportunities for advancement include roles such as Senior Data Analyst, Customer Insights Manager, or Data Scientist, with potential to move into strategic roles within the company. 

Useful Resources

  • Data Science and Analytics courses on platforms like Coursera and edX.

  • The American Statistical Association for resources on statistical methods.

  • Books such as "Data Science for Business" by Foster Provost.

Real-World Applications

Using customer purchase history data to tailor marketing emails for higher conversion rates. Analysing website traffic data to optimise user experience and improve online sales performance.

About James

Recognised as one of Europe's leading Experience Management (XM) experts, James is a Customer Experience strategist and Business Transformation expert with a unique, high value add proposition. A Non-executive Director, Committee Chair and keynote speaker, James is a Principal Experience Management (XM) Catalyst with the Qualtrics XM Institute.


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