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Data Analyst

London, Greater London, United Kingdom, £ £ - Annual Annual, Permanent

Description:

Now more than ever, people want every experience to be instant and on-demand. And when it comes to getting paid, people want their cash yesterday. But every year organizations waste time, money and energy sending more than $10.7 trillion in payouts to individuals using cash, checks, credit, debit, prepaid and gift cards! Held back by the legacy banking systems, crushed by the costs and complexity of credit cards there is this monster industry still lingering in the digital dark ages.

At WeGift we're changing all that. We've built our own proprietary payment rails that enables any organisation to send money to any individual, anywhere, instantly. No bank account required. No insane interchange fees. We even get up to 20% in commissions from retailers for driving sales which we pass onto our customers. It's discounted money! We're throwing away the old model, and transforming how we move and use money forever.

Our technology team is a small group of 15 passionate engineers, designers, and product managers who are right at the heart of core business processes. To give a few recent examples of new features:

  • WeGift Select - This allows us to give the customer choice, and therefore go beyond simply reselling gift cards and towards our strategic vision of helping value to flow more freely in the global economy. This project was technically challenging due to a requirement for it to work across a wide selection of devices.
  • Self-serve brand on-boarding - WeGift is growing rapidly, which means we have to challenge ourselves to use technology to give a great experience to our brand partners without them needing a lot of support from the customer success team.
  • Ongoing integration with gift card processors - Right at the heart of WeGift's operations, this technology needs to scale seamlessly and maintain high standards of reliability, maintainability and security. We're also constantly asking ourselves how we can make this process more efficient - how can we make a capital investment now to reduce operational spend in the future, and that in turn requires a creative take on the underlying technology.

Future projects you might be involved with include:

  • Continued development of our infrastructure - We pride ourselves on being at the cutting edge, and want to stay that way, for example, how can we make it even easier to get new functionality quickly into the hands of our customers?
  • Technical resilience - As we become more integral to our customers' businesses, how can we make sure that we can continue to serve them even when there are technical or logistics issues upstream?

We want amazing people like you to join us and be part of that journey!

About the role:

We are looking for an Experienced Data Analyst who is endlessly curious about data and uses this passion to unlock opportunities that turn into long-term important solutions and improvements for the business. We expect you to be on top of what's going on across the business and build strong relationships in order to anticipate the needs of stakeholders to identify problems and flag opportunities from data before they ask.

Responsibilities:

  • Working closely with Tech leaders and other key stakeholders to understand their needs
  • Delivering insights to all parts of the business
  • You are comfortable operating in an unstructured environment where you can juggle both work stream-driven initiatives and ad-hoc requests
  • Working closely with tech leadership to determine the scope of key initiatives
  • Working in Python for data analysis and improving data quality
  • Working with customer analytics and decision science
  • Continuously optimising workflows and automating reports
  • Creating and maintaining ETL

About you:

  • At least 3 years of proven experience as a data analyst in production environment
  • Great technical understanding on SQL, NoSQL, RDBMS data sources
  • Can write some code in python (essential)
  • Experience working in a dynamic, unstructured and fast-paced environment (ideally start-up)
  • Experience in Data visualisation
  • AWS data related services
-Take a look under the hood of life at WeGift from our employees perspective. This handbook built using Notion.so is what we use to navigate both the serene and choppy waters when needed -
  • Private Medical Health Insurance with Bupa
  • A minimum of 25 days holiday + bank holidays (we're not too descriptive about holidays so if you need more time off then just ask)
  • Participation in the Employee Options pool giving you ownership in WeGift and participation in the upside
  • Pension scheme (3% contribution)
  • Hybrid of office and remote work with a brand new WeWork office based in King's Cross, London. Right now, we are fully remote due to Covid
  • Generous maternity and paternity packages to make sure you get to spend time with your new bundle of joy
  • £1,000 annual L&D allowance to invest in mastering your craft, including accredited studies
  • Cycle to work scheme - save some £££ on buying a bike
  • Regular virtual team socials
  • Workplace Nursery benefit, where WeGift makes a contribution to your child's nursery for equipment, training, redecoration or anything else
  • WeRecognise, where we shine the spotlight on exceptional employees every quarter who in turn get a £200 award in the eGift card of their choice
  • Staff perks with WeGift brands - discounts of up to 12% on coffee, weekly groceries, holidays, the list is endless
  • Talent Partner Call
  • Technical Interview (CTO)
  • Team Interview (CPO / Finance Director)
  • CEO Interview
  • Offer!
Python, ETL, SQL, NoSQL, PandasPython, ETL, SQL, NoSQL, AWS

Job Details

1102634444
Not Specified
London, Greater London, United Kingdom
Permanent
£ £ - Annual Annual