Required Academic qualifications and certifications:

• Bachelor's degree in Statistics, Economics, Business, IT, or related field

• Data analytics or visualization certifications preferred.

Required experience:

• 3+ years in data analysis, business intelligence, or research roles

• Experience with CX metrics and customer data preferred

• Financial services experience an advantage

Key technical skills and leadership competencies

· Data analysis and statistical techniques.

· Proficiency in Excel, SQL, and visualization tools (Power BI, Tableau).

· Attention to detail and accuracy. Report writing and presentation skills.

· Understanding of CX metrics and methodologies

Data Analysis and Reporting:

Analyze customer experience data including NPS, CSAT, complaints, and journey metrics. Produce regular and ad-hoc reports for CX leadership and business teams. Maintain CX dashboards with accurate and timely data updates. Support data requests from subsidiaries and business units.

Insights Support:

Assist in identifying trends, patterns, and drivers of customer satisfaction. Conduct segmentation and cohort analysis on customer feedback data. Support root cause analysis for customer pain points and detractors. Contribute to quarterly CX insights presentations.

Data Management:

Ensure data quality and integrity across CX data sources. Support integration of data from multiple platforms (VOC, CRM, complaints). Maintain documentation of data definitions and calculation methodologies. Flag data anomalies and work with source teams on resolution.

Analytics Projects:

Support analytics initiatives led by the CX Intelligence team. Assist with predictive modeling and customer behavior analysis. Contribute to benchmarking and competitive analysis projects. Document and share analytical methodologies and findings.

Core Accountabilities and Deliverables

Key Deliverables:

• Weekly and monthly CX performance reports

• Dashboard updates and data accuracy maintenance

• Ad-hoc analysis and data requests fulfilled within SLA

• Data quality checks and issue resolution

• Contribution to CX insights presentations

Key Metrics:

• Report delivery accuracy and timeliness (98%+)

• Dashboard data accuracy (99%+)

• Ad-hoc request turnaround within agreed timelines