Data Operations Analyst - Strategy Analytics

Join Strategy Analytics as a Data Operations Analyst - power data delivery across the International Private Bank.

As a Data Operations Analyst in Strategy Analytics team, you'll join a collaborative team that ensures the right data reaches the right people across the International Private Bank — supporting the products and platforms that make that possible. Your work will span governance, analytics, and project delivery — assisting with task prioritization, triaging data requests, analyzing data, supporting change projects, and producing the metrics that keep our platform performing at its best.

This breadth of exposure means you'll build a genuinely diverse skill set early in your career. You don't need to arrive as a subject matter expert, what matters is that you bring curiosity, energy, and the drive to learn fast.

Job Responsibilities

• Support the governance framework of the Strategy Analytics team, assisting with task prioritization, triaging incoming data requests, and helping ensure the right work is delivered at the right time.
• Help write and refine requirements and acceptance criteria in partnership with the wider teams.
• Analyze datasets and run metrics that inform platform performance and strategic decision-making.
• Support data change projects from initiation through delivery with analytical rigour and attention to detail.
• Collaborate with a broad network of stakeholders across business, operations, and technology — building relationships, facilitating communication, and coordinating cross-functional initiatives.
• Leverage AI tools to solve problems, analyze data, and drive efficiency across the team's processes.

• Challenge the way things are done — proposing improvements, reimagining processes, and contributing to a team culture built on openness and continuous improvement.

   

Required Qualifications, Capabilities, and Skills

• A 2:1 degree or above in any discipline — we value intellectual curiosity over a specific subject.
• A genuine enthusiasm for data, technology, and problem-solving — you don't need to be an expert, but you should be excited to learn.
• Outstanding attention to detail and a genuine desire to deliver high quality outcomes.
• Clear, confident communication — both written and verbal — with the ability to engage stakeholders at all levels.
• The composure to manage competing priorities in a fast-paced, project-driven environment.
• Willingness to get stuck into unfamiliar challenges.

• Strong analytical and organizational skills with a proactive, self-starting mindset.

   

Preferred Qualifications, Capabilities, and Skills

• Familiarity with AI tools and an enthusiasm for applying them to real-world problems.
• Experience with Python, SQL or other coding languages for data analysis and automation.
• Awareness of project management methodologies (e.g. agile) and collaboration tools such as JIRA and Confluence.
• Interest in data management, data virtualization (e.g. Denodo), or data distribution concepts.
• Any prior experience — including internships, university projects, or personal projects — involving data analysis, project coordination, or stakeholder communication.