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Data Analyst, Manager

External
ocbc logoOcbc · Unknown
Full-timeOn-siteToday
AgileCRMGoogle AnalyticsHadoopMachine LearningPower BI
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About the role

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 Analyst, Manager

Requirements

  • General Knowledge & Experience:
  • At least 3 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
  • 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.

Benefits

How you succeedPartner 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.What you doGenerate Actionable Customer Insight to Improve Key Business OutcomesSupport the deployment of world-class marketing analytics capabilities and practices to improve marketing effectiveness and efficiency of the OCBC Consumer 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 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.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.Competitive base salary. A suite of holistic, flVision insurance

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