Data Analyst, Manager | Singapore, SG

OCBC; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading bank in Singapore seeks a data analytics specialist to drive marketing effectiveness and provide insights into customer behavior. The role involves close collaboration with cross-functional teams to support business initiatives through advanced analytics, ultimately contributing to improved customer engagement and business performance.

Benefits

Competitive base salary

Flexible benefits package

Learning and professional development opportunities

Qualifications

• At least 4 years of experience in a data analytics role.
• Understanding of banking and financial services is preferred.
• Experience with campaign management is a plus.

Responsibilities

• Analyze and improve marketing campaign performance using data.
• Generate actionable insights to enhance business outcomes.
• Collaborate with various teams on data-driven projects.

Skills

Data Analytics

Machine Learning

Statistical Modeling

Data Visualization

Education

Bachelor's degree in a related field

Tools

SAS

Python

SQL

Tableau

Power BI

Job description

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.

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 Consumer 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 Consumer 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.
  

General Knowledge & Experience:

• At least 4 years of experience in a data analytics role
  
• Understanding of 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
  
• 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 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.

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The longest-established Singapore bank, we’ve been helping people and businesses get what they want from life since 1932. How? By taking the time to t...

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