Data Analyst, Manager

Job Description - 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.

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:

1. Apply data and advanced analytics to drive relevance of the marketing opportunities presented to customers & front-line channels.
2. Conduct data discovery and other data exploration activities to identify emerging trends and business opportunities to grow the business.
3. Develop and manage predictive models, campaign reporting, analysis and derivation of key customer metrics.
4. Execute marketing campaigns & event triggers to support customer acquisition, cross & upselling and account activation goals within the Global Wholesale Banking business.
5. Provide ongoing support to segment and product management in profiling and segmentation of customers as well as conduct tactical mining to support their business initiatives.
6. Regularly interact with product and segment managers to understand their business objectives and proactively recommend how analytics could help them achieve their goals.
7. Work closely with internal and external stakeholders in campaign design and promote automated solutions for execution efficiency.
8. Collaborate with Data Engineering team to define key pipelines of data required to support the Business.
9. Work with Data Scientists to develop predictive and recommendation engines for 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 analyze, identify, visualize and describe key trends within large datasets.

o Experience in dashboard building, statistical modeling, and visualization.

o Ideally has prior experience of Campaign Management (Unica / SAS / Adobe) and Direct Marketing experiment design concepts.

o Some exposure to 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 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, decisions and actions for non-technical business users.

o Strong communication skills and ability to influence the business to take action using data.