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AVP, Big Data Analyst (QlikView/Qlik Sense), Institutional Banking Group Data Chapter, Group Transformation

DBS Bank Limited Singapore
Posted 1 day ago Permanent Competitive
AVP, Big Data Analyst (QlikView/Qlik Sense), Institutional Banking Group Data Chapter, Group Transformation
Business Function
The Institutional Banking Group's (IBG) Data Chapter team is committed to building a data driven organization and maximizing the key data capabilities to transform how IBG does business. Data impacts IBG's business every day, and a culture of relentlessly using data and business intelligence will enable IBG to achieve exponential growth

Key Responsibilities

Dashboard Development:
  • Collaborate with business stakeholders to understand their reporting needs within the Open Account Trade Products domain.
  • Design and develop interactive and visually appealing data dashboards and reports using tools such as QlikView or Qlik Sense.
  • Ensure the accuracy, timeliness, and reliability of data presented in the dashboards.
  • Continuously improve and optimize existing dashboards to provide more insightful information to stakeholders.
Project Management:
  • Lead data analysis projects from initiation to completion, ensuring they are aligned with Business objectives.
  • Define project scope, objectives, and deliverables, and develop project plans and timelines.
  • Coordinate with cross-functional teams, data engineers, and other relevant stakeholders to gather data and insights required for projects.
  • Monitor project progress, identify potential issues, and implement corrective actions to ensure projects are completed on time and within scope.
  • Present project updates and findings to senior management and stakeholders
Stakeholder Management:
  • Act as the primary point of contact for business stakeholders within the Open Account Trade Products domain.
  • Conduct regular meetings with stakeholders to understand their evolving data needs and priorities.
  • Translate business questions into actionable data analysis and provide insights and recommendations that support decision-making.
  • Foster strong relationships with stakeholders by effectively communicating findings and ensuring their data requirements are met.
Mentorship:
  • Provide guidance and mentorship to junior team members, helping them improve technical expertise and acquire Open Account Trade Products domain knowledge.
  • Promote a culture of data-driven decision-making by setting technical standards, sharing best practices and encouraging knowledge sharing within the team.
Data Transformation:
  • Utilize data programming languages, including Python and SQL, to access, clean, transform, and manipulate data from various sources.
  • Ensure data quality and integrity by implementing data validation and cleansing processes.
  • Collaborate with data engineering teams to streamline data pipelines and automate data extraction and transformation tasks.
Data Storytelling:
  • Create clear and compelling data narratives using Excel and PowerPoint to convey data insights and trends.
  • Tailor data presentations to the audience, whether technical or non-technical, ensuring effective communication of complex information.
  • Collaborate with stakeholders to develop actionable recommendations based on data-driven insights.
Qualifications
  • Bachelor's degree in a related field (e.g., Data Science, Statistics, Computer Science, Finance) is preferred.
  • Minimum of 7 years of experience in data analysis and business intelligence, ideally with a focus on the Open Account Trade domain.
  • Proficiency in data programming languages, including Python and SQL, for data extraction, transformation, and analysis.
  • Strong experience with data visualization tools such as QlikView or QlikSense.
  • Advanced skills in Excel and PowerPoint for data presentation and storytelling.
  • Proven project management skills, including the ability to manage multiple projects simultaneously.
  • Excellent problem-solving skills and the ability to think critically and analytically.
  • A 'can-do' attitude with a strong commitment to achieve results and driving data-driven decision-making.
  • Exceptional verbal and written communication skills, with the ability to convey complex ideas in a clear and concise manner.
  • A pleasant personality and the ability to collaborate effectively with cross-functional teams and stakeholders.
Job ID  WD57923
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