Customer Support Team Lead (Data Analytics) - 1 year contract

apartmentDHL Supply Chain placeOutram calendar_month 

Responsibilities:

Analysis and reporting
  • Create regular contact centre and other analytical reports for stakeholders, highlighting key findings and recommendations for service improvements
  • Analyse customer satisfaction (CSAT) scores, contact centre metrics, and customer feedback data to identify trends and improvement opportunities
  • Utilise, enhance and build PowerBI dashboards and reports for CX monitoring for contact centre touchpoints
Customer recovery programme
  • Manage the customer recovery programme, including follow-up calls with customers who provide low satisfaction scores
  • Follow-up with line divisions on low CSAT scores and their improvement plans
Other analytics and data related projects
  • Drive setup of analysis for and metrics for complain compliment ratio and related insights
  • Drive data enhancement for contact centre such as reporting of aging cases and other metrics
Other collaboration and administrative tasks
  • Collaborate with cross-functional teams related to analysis of CX
  • Maintain documentation of analytical processes, findings, Notes of Meeting (NOM) and other data or analytics related work

Requirements:

  • Bachelor's degree in Analytics, Statistics, Business Administration, or related field
  • Minimum of 3-5 years of experience in data analysis, preferably in a customer service environment
  • Advanced proficiency in PowerBI, including DAX programming and data modelling
  • Strong background in statistical analysis and data visualization with the ability to translate complex data into actionable insights
  • Experience with SQL queries and database management
  • Knowledge of customer satisfaction metrics and contact centre operations
  • Certifications in analytics or data visualization will be desirable
  • Experience with survey management systems, operational data and customer data management
  • Excellent verbal and written communication skills to present analytical findings effectively
  • Ability to manage multiple analytical projects and deliver results within timelines
  • Ability to work effectively with various stakeholders and cross-functional teams
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