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Form of workAbout Zing
Zing is a brand new fintech designed to make international money worry-free for anyone who sends, spends, or converts international currencies. Zing has been developed within the HSBC Group to work for anyone, even if they don’t have a HSBC account, so we can be an agile fintech whilst reaping the benefits of having one of the world’s biggest international banks as our parent. We’ve recently launched in the UK and have ambitious plans to scale both within the UK and internationally at pace.
Check us out:- https://www.zing.me/.
Why join Zing?
We’re only at the start of our exciting journey but we’ve already generated significant media interest. If you want to help build out a highly visible global fintech and work with a global bank as a partner, then this could be the opportunity for you! In addition, we offer:-
- Competitive package + benefits
- Hybrid work arrangements and flexible working hours
- A dynamic and challenging working environment
- Responsibility from day one in a fast growing and global company, in a start-up context
- A vibrant and international team with diverse backgrounds
- Regular social and team events
We’re now looking for a Data Analyst to support Zing as we grow! Your primary focus is to be responsible for key data operations, using tools like SQL, Python and visualisation platforms to bring highly meaningful insights though data in our exciting new venture. You’ll join a small, global team of Data specialists who are focused on unlocking meaning from our data.
What you’ll be doing
- Fulfil operational and strategic reporting &; data visualisation needs across the organisation. You’ll create and manage the logic in the singular, semantic reporting layer so definitions of KPIs are applied consistently.
- Fulfil the operational data needs for customer marketing and service messaging.
- Validate strategic business hypotheses by transforming data as required.
- Understand how to analyse and create actionable recommendations from mobile app customer journey data, e.g. drop-off rates in on-boarding journeys.
- Construct and execute hypothesis tests using the data on our analytical environment in Python, SQL and third-party dashboards.
- Create an elegant, polished data visualisation, suitable for the executive level as well as craft a compelling written and spoken narrative to drive action: “Make them think what we think”.
