AVP, Big Data Analyst (QlikView/Qlik Sense), Institutional Banking Group Data Chapter, Group Transformation
Here at the DBS Transformation Group, we focus on nurturing the culture of the "World's Best Bank" (Euromoney 2018, 2019 and 2020). Our approach is a combination of both science and art. We immerse our stakeholders in the world of design thinking and experimentation, drive rigorous creativity along our innovation pipeline, and build connections between corporate entrepreneurs and start-ups. We are a cross-disciplinary team focused on the invention of solutions that will radically improve the way people live, work and play. We are passionate and committed to making banking joyful (while having lots of fun)!
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 Responsibilities
(1) Dashboard Development
- Collaborate with business stakeholders to understand their reporting needs within the Cash and Digital 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.
(2) 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
(3) Stakeholder Management
- Act as the primary point of contact for business stakeholders within the Cash and Digital 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.
- Provide guidance and mentorship to junior team members, helping them improve technical expertise and acquire Cash and Digital 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.
(5) 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.
(6) 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.
- 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 Cash and Digital Products 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.
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.