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(Senior) Customer Analytics & Data Science Manager
Location not stated
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Job No.: 500100 Employment Type: Full time Departments: Personal Banking and Wealth Management Department
Read the full posting
What you’ll work on
Full postingDevelop and manage data-driven targeted marketing and customer contact strategies
Apply predictive models and customer segmentation to marketing campaigns
Monitor digital performance and recommend campaign and customer journey improvements
Produce performance reports and presentations for management decisions
Lead the digital sales team in implementing data marketing strategies
From the employer’s posting
Develop and manage data and behavior-driven targeted marketing execution and customer contact strategies
Assist business units in applying data science insights such as predictive model and customer segmentation in marketing campaign to drive business performance
Monitor digital business performance and deliver actionable insights and recommendations to improve campaign efficiency and end-to-end customer journey
Develop performance report and presentation to evaluate campaign effectiveness and facilitate management decisions
Lead the digital sales team to coordinate, drive, and monitor the implementation of data marketing strategies
What you’ll bring
All qualificationsCore experience
- Degree or above with major in business, quantitative, numerical science or related discipline
- 4-10 years' experience relating to data analytics and digital sales, at least 2 years of which at managerial level for senior position
- Proficiency in Microsoft Office tools such as Excel and Powerpoint
- Knowledge in building dashboard like Tableau, SAS VA or any equivalent tools would be an advantage
Preferred experience
- Proficiency in SAS, SQL, Python or similar analytically oriented programming languages is a plus
- Experience in AI Decisioning or CRM platform, such as Pega, Salesforce is a plus
- Experience in Banking, Financial Services or FinTech industry preferred
Qualification wording
Degree or above with major in business, quantitative, numerical science or related discipline
4-10 years' experience relating to data analytics and digital sales, at least 2 years of which at managerial level for senior position
Proficiency in Microsoft Office tools such as Excel and Powerpoint
Knowledge in building dashboard like Tableau, SAS VA or any equivalent tools would be an advantage
Proficiency in SAS, SQL, Python or similar analytically oriented programming languages is a plus
Experience in AI Decisioning or CRM platform, such as Pega, Salesforce is a plus
Experience in Banking, Financial Services or FinTech industry preferred
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 48
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Bank of China (Hong Kong) is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SAS
- SQL
- Excel
- Tableau
Where the posting names them
- Proficiency in Microsoft Office tools such as Excel and Powerpoint - Proficiency in SAS, SQL, Python or similar analytically oriented programming languages is a plus - Strong analytic skills, sensitive to numbers including website and performance analysis. Familiar with analytics tools, such as Google Analytics 4, Adobe Analytics
- Experience in AI Decisioning or CRM platform, such as Pega, Salesforce is a plus - Knowledge in building dashboard like Tableau, SAS VA or any equivalent tools would be an advantage - Experience in Banking, Financial Services or FinTech industry preferred
- 4-10 years' experience relating to data analytics and digital sales, at least 2 years of which at managerial level for senior position - Proficiency in Microsoft Office tools such as Excel and Powerpoint - Proficiency in SAS, SQL, Python or similar analytically oriented programming languages is a plus
Your next step
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
(Senior) Customer Analytics & Data Science Manager
Job No.: 500100
Employment Type: Full time
Departments: Personal Banking and Wealth Management Department
Job Functions: Business Development, Strategic Planning, FinTech
Responsibilities:
- Develop and manage data and behavior-driven targeted marketing execution and customer contact strategies
- Work closely with business units to identify opportunities and data/ digital innovations in driving digital sales through effective targeting and analyzing customer behavior
- Assist business units in applying data science insights such as predictive model and customer segmentation in marketing campaign to drive business performance
- Monitor digital business performance and deliver actionable insights and recommendations to improve campaign efficiency and end-to-end customer journey
- Develop performance report and presentation to evaluate campaign effectiveness and facilitate management decisions
- Lead the digital sales team to coordinate, drive, and monitor the implementation of data marketing strategies
Requirements:
- Degree or above with major in business, quantitative, numerical science or related discipline
- 4-10 years' experience relating to data analytics and digital sales, at least 2 years of which at managerial level for senior position
- Proficiency in Microsoft Office tools such as Excel and Powerpoint
- Proficiency in SAS, SQL, Python or similar analytically oriented programming languages is a plus
- Strong analytic skills, sensitive to numbers including website and performance analysis. Familiar with analytics tools, such as Google Analytics 4, Adobe Analytics
- Experience in AI Decisioning or CRM platform, such as Pega, Salesforce is a plus
- Knowledge in building dashboard like Tableau, SAS VA or any equivalent tools would be an advantage
- Experience in Banking, Financial Services or FinTech industry preferred
- A mature self-starter with strong drive, motivation, committed with good business sense and strong understanding of the personal banking market
- Excellent interpersonal and communication skills with excellent written and spoken English and Chinese, fluency in Mandarin would be a definite advantage
If you are applying for in-scope position(s) under the Mandatory Reference Checking Scheme (i.e., A role carrying out regulated activities licensed by the IA, SFC & MPFA), you are required to undergo the Mandatory Reference Checking. Our responsible recruiter will inform you the details of the MRC process and the requirements in due course. For details, please click here.
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