Company: Allica Bank
Location: United Kingdom
Employment Type: Full-time
Description:
About Allica bank
Allica is the UK’s fastest growing company – and the fastest-growing financial technology (fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in fintech. Established SMEs are the backbone of local communities – representing over a third of our economy – yet have been largely neglected both by traditional high street banks and modern fintech providers
Role Description
Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Lending and management.
We are looking for ambitious and curious people who can help us understand our data better, contribute to facilitating the discussions between engineering and the data stakeholders and have an impact on the business by telling stories around the insights they generate.
You will be an integral part of the lending data squad, and the focus will be scaling up our ability… to deliver analytics/insights and managing stakeholder interactions to support ongoing data needs
Principal Accountabilities
• Understand our products and processes through the data we have or collect
• Work with the Lending Tribe and other stakeholders (Ops, risk, etc) to understand their data needs and provide solutions that address the core need (not just the immediate requests).
• Contribute meaningful insights from our data that proactively drive decisions and new lines of inquiry
• Build visualizations and reports that enable the Lending business to service their ongoing data needs and measure KPIs
• Develop data knowledge base (definitions, working rhythms etc.) within the team that enables us to become an information hub for the business
• Helping us implement a data-driven mindset in the company by promoting a metrics-based approach to new initiatives (opportunity sizing prior and success metrics post deployment)
Personal Attributes & Experience
• Previous experience working as a data analyst
• You prefer to think through how to build an interesting analytics function at a company (rather than fit into existing conventions)
• The ability to write queries in SQL with logic to combine multiple data sources
• You work well with stakeholders across the business.
• You communicate effectively and are comfortable with learning how to translate technical detail into business and commercial language.
• You have a solid foundation in Python programming OR a strong desire to learn
• Prior experience working in Google Cloud Platform and using Looker is desirable (but not at all necessary)
Don’t tick every box?
Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!
Flexible working
We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.
Diversity
We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.
Additional Information
Working at Allica Bank
At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.
Our employees are at the heart of everything we do, so our benefits are designed with you in mind:
• Full onboarding support and continued development opportunities
• Options for flexible working
• Regular social activities
• 25 days holiday – with the option to Buy/Sell
• Pension contributions
• Discretionary bonus scheme
• Private health cover (with the option to add family members)
• Life assurance
• Income Protection
• Family friendly policies including enhanced Maternity & Paternity leave
• Season ticket loans
Source: LinkedIn
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