Analyze customer data to identify trends, patterns, and opportunities.
Develop insights to guide customer acquisition, retention, and engagement strategies.
Align data analysis with departmental objectives to support business growth.
Module Development:
Design and develop analytical modules that streamline data processing and reporting for sales and campaign performances.
Collaborate with Tech team to implement and maintain these modules.
Ensure scalability and adaptability of modules for various business applications.
Extract data from various sources including database, APIs and flat files.
Data Visualization:
Create compelling data visualizations that communicate key insights effectively.
Utilize platforms such as Qlik Sense , Tableau, Power BI, Excel or similar tools to develop dashboards and reports.
Continuously refine visualization techniques for clarity and impact to all business units.
Strategic Reporting:
Generate reports and presentations that summarizes key findings and suggests recommendations.
Support strategic planning with data-driven insights and forecasts.
Monitor and report on KPIs to assess the effectiveness of customer strategies.
Ensure the integrity and security of data by following company’s policies with regular check and audits.
Maintain comprehensive records and documentation on data sources, data processes, findings, assumptions.
Collaboration & Communication:
Work closely with cross-functional teams, including Operations, Digital Asset, Technology, and Product.
Communicate complex data findings clearly to both technical and non-technical stakeholders.
Provide training and support on data analysis tools and best practices.
Collaborate with regional teams to understand customer needs, market trends, and the rollout of new technologies and services, providing strategic and tactical product recommendations with active discussions.
Maintain a close working relationship with HOD and team members plus other business unit stakeholders on all matters pertaining to, including but not limited to execution and reporting of the company’s customer acquisition campaign.
Executes departmental tasks and achieve targets set on departmental key result areas (KRAs) and key performance indexes (KPIs) with productive participation and support.
Continuous Improvement:
Stay updated with the latest trends in data analysis, visualization, and customer strategy.
Seek continuous improvement in processes, tools, and methodologies.
Participate in professional development to enhance skills and knowledge.
Follow the Company's code of conduct, policies, procedures, and lawful directions related to employment and duties.
Perform any additional tasks as directed by management from time to time.
Skills and Requirements:
3+ years of experience in data analysis, preferably in a customer-centric or strategic role.
Strong experience with data visualization tools (e.g., Qlik Sense, Tableau, Power BI).
Proficiency in data analytic tools such as SQL, Python, R, or similar.
Knowledge of statistical analysis and predictive modelling techniques.
Familiarity with CRM systems and customer data is an advantage.
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