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Are you passionate about transforming data into actionable insights that solve business challenges and drive strategic decision-making? Do you excel at bridging the gap between business needs and data solutions, ensuring measurable impact? Join us as a Business Analyst Specialist within our Group Data & Analytics Office! In this role, you will collaborate with business stakeholders, digital teams, and IT to implement data-driven solutions that improve performance and operational efficiency. You will ensure business teams have access to reliable, high-quality data and insights, enabling them to make informed decisions while promoting a data-driven culture. Additionally, you will support training initiatives on data products and help share best practices across the organization.
Job Responsibility:
Contribute to the development of a data & Analytics strategy that aligns with business goals, emphasizing the creation of value through data-driven insights
Develop a deep understanding of the business, its processes, and its data needs to ensure analytics solutions align with organizational goals.
Collaborate closely with business stakeholders to translate their requirements into actionable insights, balancing BAU demands with strategic initiatives.
Communicate insights and recommendations in a clear and actionable manner, bridging the gap between technical teams and business users
Collaborate with business units to identify data needs and deliver actionable insights.
Implement analytics solutions to improve business performance and operational efficiency
Ensure business teams have access to accurate, high-quality data for decision-making.
Monitor and improve data integrity across systems and processes
Collaborate with IT and data engineering teams to develop scalable, secure, and interoperable data platforms and pipelines, while implementing best practices for data modeling, metadata management, and integration to ensure consistency and usability across structured, unstructured, and real-time data sources.
Collaborate on cloud-native solutions, leveraging platforms like Snowflake, Databricks, Dataiku, or Microsoft Fabric to ensure future-ready data capabilities.
Contribute to Master Data Management (MDM) initiatives, ensuring data consistency, integrity, and governance across the bank
Stay ahead of industry trends by evaluating emerging developments in data, AI, and machine learning, and exploring their relevance to the banking sector
Spearhead innovation initiatives, such as real-time analytics, AI-driven insights, and predictive data modeling
Requirements:
Further professional Education (Masters / Professional qualification)
More than 5 years experience in a similar role
Strong understanding of data modeling, metadata management, and data integration.
Hands-on experience with data platforms such as Snowflake, AWS, Microsoft Azure, Databricks, or Dataiku
Strong knowledge of with data technologies like SQL, ETL tools, Apache Spark, and modern API frameworks.
Experience integrating analytics tools into business workflows and supporting AI/ML initiatives
Proven track record of supporting data-driven transformations in complex environments