Data Analyst (Corporate Banking), Group Customer Analytics & Decisioning Data Analyst (Corporate Banking), Group Customer  …

OCBC Bank
in Singapore
Permanent, Full time
Last application, 23 Feb 21
Competitive
OCBC Bank
in Singapore
Permanent, Full time
Last application, 23 Feb 21
Competitive
OCBC Bank
Data Analyst (Corporate Banking), Group Customer Analytics & Decisioning
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.
  • Prioritise analytics workload by business value to optimise the capacity of the team.
  • Work closely with internal stakeholders to create, execute and track campaigns
  • Represent GCAD in cross functional agile squads
  • Support strategic build projects to continuously enhance the capability of OCBC's analytical processes and big data platforms
Roles & Responsibilities:
  1. 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 Consumer Banking division. This includes:
    • Development and execution of marketing campaigns & event triggers to support customer acquisition, cross & upselling and account activation goals within the Corporate Banking business.
    • 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.
    • Design of management reporting & visualization using Qlikview and Power BI.
    • 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 with Data Engineering team to define the key pipelines of data required to support Business


Qualifications
Requirements (Knowledge, Skills & Competencies):
General Knowledge & Experience:
    • Understanding of banking, insurance or financial services preferred
    • Understanding of the role of analytical marketers
    • Exposure to data management and analysis functions
    • Experiences in Emerging Banking and/or Corporate Banking business preferred
Programming & Data:
    • Exposure to database, analytical marketing or campaign management functions.
    • Ability to analyse, identify, visualize and describe key trends within large datasets
    • Prior experience tracking digital marketing activities, preferably experience with Adobe
    • Machine learning, 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 / R); leading database environments (Teradata / Cloudera Hadoop / SQL); reporting tools (Qlikview / Tableau / Power BI) and/or contact management platforms (Salesforce / Pega).
Communication & Soft Skills:
    • Curiosity & a real passion for understanding "why?"
    • Creativity to see possibilities within the data & translate into compelling stories, decisions and actions for non-technical business users.
    • Strong communication skills and ability to influence the business to take action from the data.
*LI-JT

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