Data Analyst, Manager | Singapore, SG

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:

• Apply 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 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:

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

Programming & Data:

o Exposure to database, analytical marketing or campaign management functions.
o Ability to analyse, identify, visualize and describe key trends within large datasets
o Dashboard building, statistical modeling, visualization
o Ideally has prior experience of Campaign Management (Unica / SAS /Adobe) and Direct Marketing experiment design concepts
o 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).
o Experience in tracking digital marketing activities, preferably using with Adobe or Google Analytics


Communication & Soft Skills:

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