Senior Cost Management Analyst

at  HSBC

Role purpose
This role will support the Cost Management Program by providing targeted analytics and insight on the underlying variables that generate costs in retail banking operations e.g. card issuance, print & post, cash provision.
The role holder will be part of a virtual team, operating globally and supporting analytics that the management team require to identify customer-centric, cost reduction opportunities in pursuit of Global Operations’ cost savings targets.

Governance and Committee Memberships

• Cost Management Program governance meetings
• Analytics & Relationship Mngt Lead call

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
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In this role you will:

• Be supporting a programme in Global Operations to reduce year-on-year costs by $45m.
• Collaborate with business stakeholders to interpret data and proactively generate insight to identify cost saving opportunities.
• Develop new datasets from source systems which link customer demographics to operational costs and revenues to support customer-centric business decisioning regarding cost reduction initiatives
• Execute on the development of Total Cost of Ownership models which allow management to make fact-based business decisions with full visibility of the impact on customers and revenue.
• Be involved in end-to-end cost management programme right through to support stakeholders and focuses teams on continuous improvement, both in terms of the insights delivered and the delivery process.

To be successful in this role you should meet the following requirements

• Previous experience as a data analyst is essential
• Experience in Relational databases, SQL, Python, R, Big Query, SAS, data models and data science is required
• Excellent Data crunching, Insight generation, Storytelling and Presentation skills is essential
• Advanced knowledge of MS Office: Excel, Word, PowerPoint.
• Knowledge of working with the Agile methodology and associated tool sets – Jira, Confluence etc.

Desirable

• Demonstrated results in delivering performance improvement, successfully applying innovative thinking
• Experience in financial services is desirable

The role is based in Sheffield as the primary location UK Hybrid – Birmingham, Sheffield, Leeds, Bristol, Edinburgh
Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best.
If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitment@hsbc.com
Telephone: +44 207 832 850

In this role you will:

• Be supporting a programme in Global Operations to reduce year-on-year costs by $45m.
• Collaborate with business stakeholders to interpret data and proactively generate insight to identify cost saving opportunities.
• Develop new datasets from source systems which link customer demographics to operational costs and revenues to support customer-centric business decisioning regarding cost reduction initiatives
• Execute on the development of Total Cost of Ownership models which allow management to make fact-based business decisions with full visibility of the impact on customers and revenue.
• Be involved in end-to-end cost management programme right through to support stakeholders and focuses teams on continuous improvement, both in terms of the insights delivered and the delivery process

To be successful in this role you should meet the following requirements

• Previous experience as a data analyst is essential
• Experience in Relational databases, SQL, Python, R, Big Query, SAS, data models and data science is required
• Excellent Data crunching, Insight generation, Storytelling and Presentation skills is essential
• Advanced knowledge of MS Office: Excel, Word, PowerPoint.
• Knowledge of working with the Agile methodology and associated tool sets – Jira, Confluence etc