Senior Data Analyst - Customer Experience

Were looking for an Senior Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive datadriven decisions that would support our fastgrowing product through scaling and optimising the team.

As a Senior Analyst youll be driving our analytics efforts in our operations teams who do everything from support our customers when they need help to screening for criminal activity to verifying customer identities at scale. 

Most importantly youll collaborate closely with your operational leads BI specialists team leads to turn your insights into real change for our customers and help drive our mission! 

About the Squad:

The support squads mission To deliver a customer support experience that minimises effort and scales globally. We believe this will help Wise get to mission zero. 

Youll be responsible for:

Owning all data and analytics assetswithin your domain serving as the goto expert for insights that drive informed decisionmaking.

Developing and implementing KPI trees and targetsetting frameworksin reporting pipelines to support product teams in achieving their goals.

Conducting indepth analysis of operational metricsproviding valuable insights into their impact on customers and business performance.

Monitoring and optimising key strategic initiativesidentifying opportunities to improve efficiency enhance operations and drive better outcomes.

Supporting operational leadershipwith critical insights to assess and strengthen the overall effectiveness of the customer support function.

Collaborating with crossfunctional teamsto standardise realtime operational processes drive continuous improvement and ensure strategic alignment.
 

This role will give you the opportunity to: 

• Be part of a positive change in the world. Were fixing a broken greedy system and putting people and businesses in control of their money

• Create value from extensive datasets. We have millions of customers a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!

• Influence the teams direction. Analysts at Wise enable datadriven decision making and have a large impact by helping their teams to decide what to work on.

• Learn from a global network of professionals. We have a large diverse team of analysts data scientists and product managers that you will work with and learn from.

Qualifications :

A bit about you: 

• You have 3 years of experience in analytics

• You have advanced SQL skills 

• You have a background working with operational team analytics including target setting and tracking performance metrics.

• You have experience with building data pipelines.

• You have experience working with Python/R.

• You have experience with data visualisation tools (Looker PowerBI Tableau etc. and demonstrate storytelling ability with data

Some extra skills that are great (but not essential): 

• Prior experience in the Customer Experience or Customer Journey domains

Additional Information :

What do we offer: 

• Starting salary:RSUs)

• Numerous great benefits in ourLondonoffice 

Key benefits:

• Hybrid working model

• 25 days Paid Annual holiday 3 Me Days

• 15 Sick Days

• Mobile Wiser Work abroad for up to 90 days of the year

• 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

No

Employment Type :

Fulltime

Key Skills
Databases,Data Analytics,Microsoft Access,SQL,Power BI,R,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics
Experience:years
Vacancy:1