AVP, Business / Data Analyst, Middle Office Technology, Technology & Operations AVP, Business / Data Analyst, Middle Office  …

DBS Bank Limited
à Singapour, Singapore, Singapour
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
DBS Bank Limited
à Singapour, Singapore, Singapour
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
AVP, Business / Data Analyst, Middle Office Technology, Technology & Operations
Business Function
Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
Job Role
The role is responsible for driving business and data analysis of internal systems and processes. Data Analyst works closely with respective business and technology counterparts to understand and document the innerworkings of the systemand/or a business process and applies the knowledge to solve problems at hand. They conduct data exploration workshops, analyse datasets, write user stories, perform testing, and work with development team on data projects. Position requires strong understanding of SQL and Data Models and is very hands on.
Responsibility
  • Lead and manage Data Analysis across different compliance solutions AML, KYC, CDD, Fraud and ensure all requirements have proper user stories, WBS and traceability
  • Perform EDA - Exploratory Data Analysis using SQL, Spark, Hive, Presto
  • Produce Jupyter Notebooks with Reproducible Analysis of datasets - Python, Scala, or SQL
  • Produce Dashboards that clearly tell a Data Story - Tableau, Spark, Presto, Superset
  • Leverage the subject matter experts across technology and business in delivering structured and well-thought through solutions
  • Drive Data Discussions around Security, Compliance, Quality- know how to work with PII data in responsible way
  • In depth knowledge of Atlassian products - Jira, Confluenceat a minimum
  • Collect functional requirements from stakeholders, and able to document and explain the requirements to development and QA team
  • Conduct in-depth customer analytics and develop data visualization to discover trends/patterns, spot outliers/gaps, and identify business drivers
  • Be a persuasive storyteller to communicate business performance and data analytics to stakeholders
  • Participate various data-driven projects
  • Identify and document requirements in form of customer journeys and user stories.
  • Work with business stakeholders in requirement prioritization and rationalization
Requirement
  • 7+years of experience in Data Analytics role with demonstrated track of generating value through data driven solutions
  • Strong SQL coding skill is a must
  • Experience with Big Data tech stack is a must-Spark, Hive, Presto, Superset, Python
  • Strong understanding of Data Governance and Data Quality aspectsand toolingof Product Developmentis a must - Collibra, Trifacta
  • Hands on experience with Tableau - must be able to develop dashboards and data stories from ground up
  • Data analysis knowledge in core banking (Consumer / Corporate / Wealth) and/or compliance systemsis a big plus
  • Proven experience with business and technical requirements analysis, business process modelling/mapping, methodology development, and data modelling
  • Solid experience in building data pipelines / data engineering background, experience with building data pipelines using cloud services is a plus
  • Strong analytical and problem-solving skills, with the ability to come up with effective business strategies to drive business growth based on quantitative analysis
  • Excellent presentation, analytical and communication skills
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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