Customer Data Analytics Manager

2 weeks ago


Jakarta, Indonesia Zurich Insurance Full time

Key Role & Responsibility- Responsible for gathering, transforming, processing, and modeling Customer Data, as well as interpret key findings and leverage these insights into initiatives that will support business outcomes.
- Work with 3rd party providers - such as ZCAM, MS Dynamics and EDAA - to ensure effective supply of information, segmentation and customer knowledge.
- Responsibility includes:
- Creating and enforcing policies to ensure effective customer data management.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions
- Using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
- Lead cross-functional projects to establish/improve Customer Data Quality
- Deliverable- Initial set up on customer data vault with correct fields
- Provide segmentation of customer information to the teams - CK&X, BMC - in order for them to drive better targeted communications and experiences
- Customer Data Governance
- Dashboard/Visualization of Customer metrics
- Advance Data Modelling and Predictive Modelling to support business goals (net new customer, product density)
- Improve Customer Data Quality (availability and validity)- Should be proficient in data analytics, data science with good experience across a company with strong focus in this area.
- Must be a self-starter and trusted to work alone - essentially driving the set up and strategy as well as delivering on the execution.

**You are the heart & soul of Zurich**

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

Let’s continue to grow together
- Location(s): ID - Jakarta
- Remote working:

- Schedule: Full Time
- Recruiter name: Marina Destiana
- Closing date:



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