Analytics Engineer

AnalyticsLondon

You will be working within the Analytics Experience team with a focus on strengthening our BI toolset and providing guidance to analysts and data consumers within the company on the best way to use these tools. Partnering with our Platform and wider analyst team at Wise, you will also be expanding our documentation (wiki, videos), creating sample dashboards and boilerplate code, and contributing to automation efforts.

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Office

London

Team

Analytics

Salary Range

£55k - £75k *based on experience and interview performance* + RSUs

Your mission: 

The newly created Analytics Experience team empowers our analysts with the tools required to extract knowledge from raw data and provide valuable insights to their team. This enables them to move forward, as well as shape processes to ensure data is organised, curated and made accessible to the relevant audiences.

You will be working within the Analytics Experience team with a focus on strengthening our BI toolset and providing guidance to analysts and data consumers within the company on the best way to use these tools.

Partnering with our Platform and wider analyst team at Wise, you will also be expanding our documentation (wiki, videos), creating sample dashboards and boilerplate code, and contributing to automation efforts.

Here’s how you’ll be contributing:

  • Offer consulting to other teams and individuals on how best to use the data analytics tools
  • Create documentation for both technical and non-technical stakeholders
  • Be the BI advocate, hold or contribute to workshops and training sessions for all user tiers
  • Build toolkits to automate management of the data analytics tools 
  • Review tooling configuration to optimise performance, security and costs, and keep an eye on data product solutions to solve data related challenges
  • Contribute to improve data discoverability and reliability, increase linting and testing usage, and to build relevant CI/CD pipelines.

A bit about you: 

  • You have advanced SQL and can optimise it for data warehouses like Snowflake
  • You can write and debug Python scripts and interact with APIs 
  • You have experience with Business Intelligence tools (Looker, Tableau, Superset, Power BI)
  • You have experience with analytics system configurations and administration
  • You have a keen eye for detail and troubleshooting, problem solving and accuracy should be core to you
  • You are interested in extending your knowledge of Python related technologies

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

  • You are familiar with systems, network, and application security best practices
  • You have comprehensive Python development skills
  • You have hands-on experience with Looker
  • You have hands-on experience specifically with Snowflake, Superset, DBT, Airflow

We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.

Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.

And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.

#LI-CH1 #LI-Hybrid

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.

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