Senior Data Analyst (Retail Banking)

About the Role:

• We are looking for an inspiring and forward-thinking Business Analyst to craft, evolve, and champion our enterprise data platform. You will play a pivotal role in empowering smarter decisions, accelerating innovation, and enabling AI-driven opportunities across the organization.
• In this high-impact role, you will set the vision and lead the delivery of a modern, scalable, and trusted data architecture that not only meets today’s business needs but positions us for tomorrow’s breakthroughs. Your expertise will help teams unlock the full value of data — turning it into a competitive advantage.

What You’ll Do:

Lead the Data Vision:

• Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation.
• Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation.
• Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximize value.

Create Transformational Solutions

• Design, deliver, and optimize data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
• Embed data quality, lineage, and metadata management into every solution for trusted and transparent data.
• Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.

Champion Governance & Trust

• Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards.
• Partner with security and compliance teams to build safe, accessible, and well-managed data environments that enable innovation.

Collaborate, Inspire, and Mentor

• Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
• Work hand-in-hand with cross-functional teams to embed data-driven thinking into every decision.
• Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.

What You’ll Bring:

• Proven experience in data analysis.
• Proven experience in financial industry.
• Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift).
• Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems.
• Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion) and streaming technologies (e.g., Kafka, Kinesis, Pulsar).
• Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices.
• Understanding of AI/ML data lifecycle management and operationalization.
• Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.