Data Analyst - Permanent

Our Diversity Pledge

At C. Hoare & Co we are committed to having a more diverse workforce through representation of society in our own workplace, where all can thrive, develop and succeed based on talent, regardless of ethnicity, the way colleagues wish to express their gender identity, sexual orientation, disability, age or any other dimension that can be used to differentiate people from one another. C. Hoare & Co welcomes diversity of thought.

Flexible Working Pledge

We are committed to supporting flexible working to allow individuals to thrive and deliver business needs.

C. Hoare & Co have committed to a permanent hybrid policy. As part of this hybrid policy, the bank promotes part-time working and job-sharing where applicable. We have family friendly policies and a benefits package in place that is highly competitive within financial services.

Scope of work & the value you will add to our customers:

You will be a key member of the Data Science & Analytics (DS&A) team and the broader Data Office, helping to drive the transformation of data understanding and use cases across the bank.

DS&A equips the bank with bespoke strategic data tools and intelligence, through knowledge and deployment of a broad range of technical methods. This supports deepening relationships with customers and anticipating their needs to provide first-class services.

The Data Office team is also is embedding robust data management practices, building strategic cloud data platforms and offering self-service data labs all supporting the banks business goals.

This Data Analyst role will be instrumental in supporting data-related projects and initiatives that enhance the use of data. The Data Analyst will undertake a two-year programme that will begin in Data Science & Analytics and the broader Data Office teams developing strong data skills.  This will be complemented with multiple rotations across business departments for business exposure – working towards a permanent placement as a Data Analyst within a business function leveraging the data expertise gained through the programme.

Your work will directly contribute to achieving high business standards and outcomes through trusted and reliable data tools and insights.

Role & Responsibilities:

The key responsibilities include:

•       Design, develop and embed impactful insights and making these available for the wider business use.

•       Ownership of the quality and delivery of your work to ensure timescales are set and managed against defined target outcomes; cultivate strong, trusted stakeholder relationships.

•       Build deep knowledge of the business department to be able to connect business departments responsibilities, working processes and their data in order to generate actionable insights, drive informed decision-making, and align data initiatives with strategic business goals.

•       Use the blend of your data and business knowledge to identify and promote opportunities where data and AI can help the bank achieve its strategic goals.

•       Actively build and maintain your knowledge of working practices and techniques used across the core disciplines of the Data Office including data management, technology and AI.

•       Operate as an ambassador for data providing guidance and coaching to colleagues to help embed best practice for managing and using our data.

•       Leverage the strong relationships with the Data Office to help shape and inform future strategy to ensure relevant and impactful data solutions and services are supporting business colleagues.

•       Support business colleagues by responding to ad-hoc analytical and data requests.

•       Operate as an engaged, committed and active member of the data community helping embed collaboration and partnership across our business teams.

•       Help create a high performing culture within your team to support first-class customer service and Good Bankers, Good Citizens initiatives

•       Adopt the high standards and working practices of the DS&A working environment by employing industry best practices for: version control, testing, validation, impact monitoring, peer-to-peer review and a culture of challenge.

Requirements

Mandatory Skills/Experience:

•       Final year of a Data Science, Maths, Engineering, Data and Business Management or other relevant degree

•       Achieved at least a 2.1 rating

•       Previous internship or work experiences are welcomed

•       Involvement in extra-curricular activities that demonstrate your interpersonal and organisation skills

•       Knowledge of analytical techniques and experience in manipulating and deriving insights from data.

Desirable Skills:

•       Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques would be beneficial.

•       Experience in using LLMs or other AI to accelerate and enhance work, such as for data analysis

•       Experience with Power BI or other visualisation tools

•       Ability to communicate technical concepts, ideas and solutions in an accessible way to non-experts

Interdisciplinary Skills:

•       Organisation: Strong organisation skills with the ability to prioritise work effectively & efficiently to meet deadlines

•       Problem-Solving: Passion and curiosity to understand and solve business problem methodically and develop effective solutions.

•       Attention to Detail: Precision in data handling and analysis to ensure accuracy and reliability.

•       Communication: Excellent verbal and written communication skills to present data insights clearly to non-technical stakeholders. Presentation skills will be key too.

•       Adaptability: Willingness to learn new tools and techniques and adapt to changing project requirements.

•       Teamwork: Ability to work effectively in cross-functional teams and understand diverse business need - personal relationships are at the heart of our service and culture.

Benefits

• 25 DAYS OF HOLIDAY (Work Level 1 - Associate)
• MARKET-LEADING PENSION
• GROUP LIFE ASSURANCE
• GROUP INCOME PROTECTION
• SEASON TICKET LOANS
• PRIVATE MEDICAL INSURANCE
• SUBSIDISED STAFF DINING ROOM
• CHARITABLE DONATIONS/ GIVE AS YOU EARN
• EYE CARE
• FLEXIBLE BENEFITS
• ADDITIONAL ANNUAL LEAVE
• COMPUTER PRODUCTS
• CHARITY DAYS
• CRITICAL ILLNESS AND CRITICAL ILLNESS SPOUSE/PARTNER
• CYCLE TO WORK
• DENTAL INSURANCE
• PERSONAL ACCIDENT INSURANCE
• TRAVEL INSURANCE
• VEHICLE BREAKDOWN COVER
• ELDERCARE
• WORKPLACE NURSERY SCHEME
• ELECTRIC VEHICLE SCHEME
  

Supporting Your Recruitment Experience

If you have a disability, health condition or are neuro-diverse and may benefit from some adjustments and support during the recruitment experience, then just ask – we don’t want our hiring process to be a barrier for you.

Finally, please note that no candidate will meet every single desired requirement. If your experience looks a little different from what we have identified and you think you can bring value to the role, we would love to hear more about you!