AVP, Data/Business Analyst, Technology & Operations Data Chapter, Group Transformation

Business Function

The Transformation Group reports to the Group Head of Strategy and Planning (GSP) who supports the CEO and senior management team on the implementation of the Group's strategic agenda, including working with the businesses and functions to drive strategic initiatives across geographies. The mandate of Technology and Operations Data Chapter (T&O DC) is to lead and support both our Operations and Technology stakeholders towards being an AI Fueled support unit.

About the Role
The Data Analyst /Data Translator plays a key role in building the data ecosystem and driving analytical requirements to support Operations in our journey transformation & process improvements. He/she will closely collaborate with key stakeholders within and outside of Operations to drive the agenda of data optimized decisioning for end users in achieving the business goals & outcomes.

Responsibilities

• Collaborate and support Key Functional Stakeholders within Operations to understand business/servicing opportunities, proactively identify meaningful data insights and devise the right analytics products and recommendations.
• Gather, understand, document user requirements, and propose achievable analytics solutions.
• Assess and quantify business impact proposed analytics solution.
• Conduct data profiling, analysis and metadata-driven ingestion of structured and unstructured data, adhering to data governance standards.
• Plan and oversee the design, development, and implementation of the data analytics needs through analytical reports and solutions.
• As a squad lead - coordinate tasks, ensure deadlines are met, provide support and guidance to squad members, and serve as a liaison between the team and higher management.
• Design, develop and deploy end to end analytics solutions for operational improvement and risk mitigation.
• Create and maintain visualization Dashboards (Qlikview/Tableau) to empower users with self-service analytical capabilities, embedding good UX design into data visualization tools to enable intuitive sharing of data.
• Work with subject matter experts (i.e. Functional leads within/outside of Process Automation Pillar) and data science leads to bridge business needs and development of data solutions.
• Work effectively with platform and technical partners for successful delivery of analytics needs and deliver business impact to the organization.
• Work within our in-house data platform; continuously build on our database by assessing data from different sources to provide deeper analysis.
• Execute and deliver assigned projects that support pillars of Operations' focus areas and transformational journeys.
• Ensure robust documentation of data processes, standards, best practices and guidelines for the BI team.
• Drive a business intelligence roadmap, prioritize analysis requests to balance the tactical and strategic information needs.
• Work with Senior Management to develop analytical strategies, present analyses and recommendations in strategic reviews to stakeholders and senior leaders using data-driven storytelling to drive improvements in the business operations.
• Collaborate and share best practices and data needs with Operations partners.

Requirements

• Bachelor's degree in computer science, Information Technology, Information System, Statistics, Engineering or related disciplines.
• Minimum 5 years of work experience with at least 4 years relevant in banking or financial industry, preferably in a business/data analyst function, or related professional experience.
• Proficiency in SQL/Python and data visualization tools (e.g., Qlikview, Tableau).
• Experience in object-oriented/object function scripting languages, such as Python, PySpark, Spark SQL, Scala is advantageous.
• Knowledge with relational databases and cloud computing is advantageous.
• Experience in SDLC framework, including Jenkins is advantageous.
• Familiar with metadata-driven ingestion and compute framework.
• Have experience leading project teams and working with Data Analysts/Business Intelligence teams.
• Related experience in process improvements, project management, and leading change management would be advantageous.
• Possess strong business acumen/knowledge to prioritize business needs and promote effective analysis for respective stakeholders.
• Have leadership capacity to represent the team in strategy reviews and cross-functional collaborations/events.
• Meticulous and analytical to make informed decisions from data; Excited to deal with numbers with clear and structured logical thinking.
• Creative problem solver who thrives when presented with a new challenge, while adhering to data compliance guidelines.
• Ability to see beyond the parameters of a single project to identify patterns, risks, trends, and strategic context more broadly within the organization.
• Agile project management and delivery experience.
• A team player with good time-management and leadership skills.
• Efficient multi-tasker with great attention to detail, and a 'can-do' attitude.
• Excellent verbal and written communication, interpersonal and presentation skills.