Analytics Engineering Director - Servicing
- London, United Kingdom
نُشرت أول أمس
عن الوظيفة
Salary: 135000 - 160000 GBP Annual
London
Company Description
Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job Description
We're looking for a Analytics Engineering Director (AEL 3) in Servicing to join our Analytics Engineering team in London.
Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products faster by making it easy for Wisers to make data-informed decisions.
At Wise, we work with over 300+ Analysts and more than 7000 weekly active users of our Business Intelligence Tools. As a Senior Analytics Engineering Manager, you'll be crucial in ensuring it's easy to find & load relevant, trustable data quickly.
Here's how you'll be contributing to the Analytics Engineering team
People Leadership: You will scale an existing team of 8 to 20+ within the next 12 months - keeping the bar high while scaling and ensuring everyone on the team is consistently growing.
Defining & Implementing Strategy: You will work closely with the Engineering, Product & Analytics leads of the Servicing tribe (FinCrime, Customer Support, Risk) to drive the strategy for how we can utilise Data & Analytics for best outcomes for our customers.
Core Data Sets: You will play a key role in ensuring trustable, discoverable, context-enriched core datasets exist. This involves working closely with users of these datasets as well as Engineers emitting the source data they’re based on.
Tooling Evangelist: Ensure Wise stays ahead of the curve by acting as the go-to expert for new tooling like AI applications - including conversational AI, leveraging AI for data asset enablement, and workflow optimisation. Leading its adoption and successful rollout across the organization. You’ll own metrics to track the success of this like lead time for getting new data assets live.
Best Practices Driver: Assess and implement data modelling best practices across your tribe, elevating our data capabilities and cost sustainability.
Qualifications
What do I need to bring to the role?
Project Leadership: You have a track record of creating & implementing
long-term, strategic projects (2+ year time horizon, cross-functional).
Stakeholder Engagement: You're able to build strong empathy for your stakeholders
and internal customers, proactively identifying and solving their problems.
Impactful Storytelling: Excellent storytelling ability with data, translating complex
insights into defensible, digestible & actionable narratives.
Technical Expertise: Advanced proficiency in SQL and Python is a must (code-review) + Architecture review
Data Pipelining & Modelling: Prior experience in building robust analytics
pipelines and designing effective data models.
Tooling: Able to own the roadmap for implementation of best practices regarding
Business Intelligence Tools like LightDash and transformation tools like
dbt. Ideally you have implemented multiple tools and workflows at your previous
organisations and are ready to meet any challenge regarding security
implementation, technical implementation & adoption.
Additional Information
Base salary: gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Numerous amount of best in class benefits
Flexible working - whether it’s working from home, school plays or life admin we
get that flexibility is essential and you’re trusted to do the right thing and be
responsible
Paid annual holiday, sick days, parental leave and other leave opportunities
6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
More about the team
Find out more about our team, how we work and other open roles.
Find out more about what we offer our employees
From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.
Join us
For everyone, everywhere. We’re people building money without borders.
London
Company Description
Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job Description
We're looking for a Analytics Engineering Director (AEL 3) in Servicing to join our Analytics Engineering team in London.
Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products faster by making it easy for Wisers to make data-informed decisions.
At Wise, we work with over 300+ Analysts and more than 7000 weekly active users of our Business Intelligence Tools. As a Senior Analytics Engineering Manager, you'll be crucial in ensuring it's easy to find & load relevant, trustable data quickly.
Here's how you'll be contributing to the Analytics Engineering team
People Leadership: You will scale an existing team of 8 to 20+ within the next 12 months - keeping the bar high while scaling and ensuring everyone on the team is consistently growing.
Defining & Implementing Strategy: You will work closely with the Engineering, Product & Analytics leads of the Servicing tribe (FinCrime, Customer Support, Risk) to drive the strategy for how we can utilise Data & Analytics for best outcomes for our customers.
Core Data Sets: You will play a key role in ensuring trustable, discoverable, context-enriched core datasets exist. This involves working closely with users of these datasets as well as Engineers emitting the source data they’re based on.
Tooling Evangelist: Ensure Wise stays ahead of the curve by acting as the go-to expert for new tooling like AI applications - including conversational AI, leveraging AI for data asset enablement, and workflow optimisation. Leading its adoption and successful rollout across the organization. You’ll own metrics to track the success of this like lead time for getting new data assets live.
Best Practices Driver: Assess and implement data modelling best practices across your tribe, elevating our data capabilities and cost sustainability.
Qualifications
What do I need to bring to the role?
Project Leadership: You have a track record of creating & implementing
long-term, strategic projects (2+ year time horizon, cross-functional).
Stakeholder Engagement: You're able to build strong empathy for your stakeholders
and internal customers, proactively identifying and solving their problems.
Impactful Storytelling: Excellent storytelling ability with data, translating complex
insights into defensible, digestible & actionable narratives.
Technical Expertise: Advanced proficiency in SQL and Python is a must (code-review) + Architecture review
Data Pipelining & Modelling: Prior experience in building robust analytics
pipelines and designing effective data models.
Tooling: Able to own the roadmap for implementation of best practices regarding
Business Intelligence Tools like LightDash and transformation tools like
dbt. Ideally you have implemented multiple tools and workflows at your previous
organisations and are ready to meet any challenge regarding security
implementation, technical implementation & adoption.
Additional Information
Base salary: gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Numerous amount of best in class benefits
Flexible working - whether it’s working from home, school plays or life admin we
get that flexibility is essential and you’re trusted to do the right thing and be
responsible
Paid annual holiday, sick days, parental leave and other leave opportunities
6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
More about the team
Find out more about our team, how we work and other open roles.
Find out more about what we offer our employees
From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.
Join us
For everyone, everywhere. We’re people building money without borders.