Data Analyst, Manager

**Data Analyst, Manager** **-** **(**250000LT**)**

**Overall Job Purpose**:

- Partner with specific client stakeholders within OCBC to understand their business challenges & use your data expertise to proactively identify areas where Customer Analytics techniques can create value.
- Work closely with Marketing team and product managers to design, develop and implement campaigns.
- Manage, track and analyze marketing campaign performance for key customer insights, campaign optimization and enhancement.
- Represent GDO in cross functional agile squads and business initiatives.
- Support strategic build projects to continuously enhance the capability of OCBC’s analytical processes and big data platforms.

**Roles & Responsibilities**:
**Generate Actionable Customer Insight to Improve Key Business Outcomes**

Support the deployment of world-class marketing analytics capabilities and practices to improve marketing effectiveness and efficiency of the OCBC Global Wholesale Banking division. This includes:

- Conducting data discovery and other data exploration activities to identify emerging trends and business opportunities to grow the business.
- Development and ongoing management of predictive models, campaign reporting, analysis and derivation of key customer metrics.
- Development and execution of marketing campaigns & event triggers to support customer acquisition, cross & upselling and account activation goals within the Global Wholesale Banking business.
- Provision of ongoing support to segment and product management in the profiling and segmentation of customers as well as conduct of tactical mining to support their business initiatives.
- Regular interaction with product and segment managers to understand their business objectives. Proactive recommendation on how you think analytics could help them achieve their goals.
- Work closely with internal and external stakeholders in campaign design and promote automated solutions for execution efficiency.
- Work with Data Engineering team to define the key pipelines of data required to support Business.
- Collaborate with Data Scientists to develop predictive and recommendation engines for business overall acquisition, cross-sell and usage strategies.

**Qualifications**

**Requirements (Knowledge, Skills & Competencies)**:
**General Knowledge & Experience**:

- At least 4 years of experience in a data analytics role
- Understanding of corporate banking, insurance and financial services preferred

**Programming & Data**:

- Exposure to database, analytical marketing or campaign management functions.
- Ability to analyse, identify, visualize and describe key trends within large datasets
- Dashboard building, statistical modeling, visualization
- Ideally has prior experience of Campaign Management (Unica / SAS /Adobe) and Direct Marketing experiment design concepts
- Some prior exposure to analytical software tools of leading analytical software tools (such as Python/SAS); leading database environments (Oracle / Teradata / Cloudera Hadoop / SQL); reporting tools (Power BI / Tableau) and/or Customer Relationship Management (CRM) platforms (Siebel / Pega / Salesforce).
- Experience in tracking digital marketing activities, preferably using with Adobe or Google Analytics

**Communication & Soft Skills**:

- Curiosity & a real passion for understanding “why?”
- Creativity to see possibilities within the data & translate into compelling stories, decision and actions for non-technical business users.
- Strong communication skills and ability to influence the business to take action using data.

**Primary Location**: Singapore

**Job**: Analytics

**Organization**: Data Analytics

**Schedule**: Permanent

**Job Posting**: 09-Apr-2025, 10:21:50 PM