WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Data Analytics Support Specialist (Global Commercial Banking)

Why Join
As a Data Analytics Support specialist at OCBC, you'll be at the forefront of driving business growth through data-driven insights. You'll work closely with stakeholders to identify opportunities, develop solutions, and implement changes that make a real impact. If you're passionate about data and want to make a difference, this role is for you.

How you succeed
To succeed in this role, you'll need to be a collaborative problem-solver who can distil complex data into actionable insights. You'll work closely with stakeholders to understand their needs, develop targeted solutions, and implement changes that drive business outcomes. By leveraging your analytical skills and business acumen, you'll help OCBC stay ahead of the curve in a rapidly changing market.

What you do
Support the deployment of world-class marketing analytics capabilities and practices to improve marketing effectiveness and efficiency of the OCBC Corporate Banking division. This includes:

- Applying data and advanced analytics to drive relevance of the marketing opportunities presented to customers & front-line channels.

- Conducting data discovery and other data exploration activities to identify emerging trends and business opportunities to grow the business.

- Development and execution of marketing campaigns & event triggers to support customer acquisition, cross & upselling and account activation goals within the Consumer Banking business.

- Development and ongoing management of predictive models, campaign reporting, analysis and derivation of key customer metrics.

- 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.

- Working closely with internal and external stakeholders in campaign design and promote automated solutions for execution efficiency.

- Working with Data Engineering team to define the key pipelines of data required to support Business.

- Collaborating with Data Scientists to develop predictive and recommendation engines for business overall acquisition, cross-sell and usage strategies.

- Working on Business Intelligent reporting tools (Qlikview / Power BI / Tableau).

- Experience leveraging low-code and no-code AI tools, including Bitbucket and Cloudera Machine Learning, to develop in-house web applications.

Who you are

General Knowledge & Experience:

- At least 3 years of experience in a data analytics role
- Understanding of banking, corporate banking 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
- Machine learning, statistical modelling, visualization
- Ideally has prior experience of Campaign Management (Unica / SAS /Adobe) and Direct Marketing experiment design concepts
- Prior exposure to analytical software tools of leading analytical software tools (such as SAS / Python); leading database environments (Oracle / Teradata / Cloudera Hadoop / SQL); reporting tools (Qlikview / 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.

What we offer:

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.