Product Analytics Lead – KYC/Customer Onboarding

Office: Tallinn, Estonia 

Salary range: €5400 – €6750 per month *based on experience and interview performance* + RSUs

Key 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
• Stock options in a profitable company
• Relocation support
• Generous parental leave
• Pension scheme
• Paid sabbatical
• Loads of development opportunities
• A fun work environment with social activities and events
• The opportunity to work with super smart, curious people

Lead Analyst – Customer Onboarding

We’re looking for a Lead Analyst to join our growing Servicing Tribe across Tallinn, Estonia. This role is a unique opportunity to move Wise’s mission forward, grow as a product leader and help save millions more people money. 

Your mission: 

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 as a lead is to grow a team of analysts, who would help enable our financial crime prevention teams (Fraud, AML, KYC or Verification) to scale globally and help drop our costs.  You’ll also work extensively with our Operations leadership team, to help them as they manage, improve and scale our operations.

Here’s how you’ll be contributing to the Customer Onboarding Squad:

Leadership

• Support and develop the analyst function within the tribe, lead a team of ~5 analysts
• Hiring and on-boarding new analysts to the tribe
• Mentoring and providing technical support to analysts
• Guide analyst work across the tribe; e.g. help junior analysts structure projects, define data structure cross team projects
  

Supporting the Squad

• Support and develop the reporting layer for the area
• You’ll partner with our Operations Leadership team to help them build and improve the quality and efficiency of their processes and their performance metrics
• Our analysts are embedded into the product teams of  the tribe, to help project and measure the impact of our product changes, both for our customer self-service and internal tooling
• Work closely with the Data Science team to improve the quality of our data models
• Your team will help us understand our support teams’ efficiency, the effectiveness of our tooling and workflows, the accuracy of our forecasting and scheduling. You’ll also help the leads of our support team self-serve with data 
  

Product Improvement

• Do cost analysis and reconciliation
• You’ll oversee our contact data and share contact attribution along with actionable insights across the product teams, helping them engage with the data correctly and in turn reduce contact rates  
• You’ll identify opportunities how to use our data and machine learning , in order to automate and optimise our processes and solutions 

This role will give you the opportunity to: 

• Choose your path to impact – we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls
• Grow as a leader – Build your team and inspire them to contribute to our mission
• Be part of our mission to make money without borders the new normal

About you: 

• You have experience working across operational teams. You can lead operational analysis, support them with data, and drive operational change
• You have led and scaled a team of analysts
• You know your way around the infrastructure of analytics and have worked with cloud warehouses (e.g. Snowflake, BigQuery, or Redshift), have knowledge of BI tools (e.g. Looker, Periscope, or Metabase) and/or visualisation tools (e.g. PowerBI or Tableau) 
• You’re highly proficient with SQL, able to write structured and sustainable code and continue to develop and refine this skillset