Key Responsibilities:

• Transform and Analyse: Dive deep into customer journeys, data lineage, and end-to-end data flows to uncover valuable insights that drive strategic decision-making.
• Collaborate: Work closely with business stakeholders, product owners, architects, and data engineers to translate business needs into clear and actionable requirements.
• Investigate Data Lineage: Trace critical data from its source to consumption, identifying dependencies and impacts to provide insights that support engineering delivery.
• Shape Future Data Products: Your analysis will play a pivotal role in shaping future-state data products, improving data quality and trust, and facilitating the migration from legacy systems to modern, scalable solutions.
• Navigate Complexity: Use your curiosity and analytical rigour to simplify complex data problems into engineer-ready requirements, ensuring alignment with business outcomes.

Key Qualifications:

• Strong analytical skills with the ability to navigate ambiguity and complex data landscapes.
• Proven experience in data analysis, preferably within the banking or financial services sector.
• Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
• Familiarity with data governance principles and practises.
• A proactive approach to problem-solving and a passion for data-driven decision-making.

Key Responsibilities:

• Transform and Analyse: Dive deep into customer journeys, data lineage, and end-to-end data flows to uncover valuable insights that drive strategic decision-making.
• Collaborate: Work closely with business stakeholders, product owners, architects, and data engineers to translate business needs into clear and actionable requirements.
• Investigate Data Lineage: Trace critical data from its source to consumption, identifying dependencies and impacts to provide insights that support engineering delivery.
• Shape Future Data Products: Your analysis will play a pivotal role in shaping future-state data products, improving data quality and trust, and facilitating the migration from legacy systems to modern, scalable solutions.
• Navigate Complexity: Use your curiosity and analytical rigour to simplify complex data problems into engineer-ready requirements, ensuring alignment with business outcomes.

Key Qualifications:

• Strong analytical skills with the ability to navigate ambiguity and complex data landscapes.
• Proven experience in data analysis, preferably within the banking or financial services sector.
• Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
• Familiarity with data governance principles and practises.
• A proactive approach to problem-solving and a passion for data-driven decision-making.