Lead Analyst- People Analytics

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Austin, TX
Hybrid
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role

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

Your Mission:

We’re looking for a Senior People Scientist who is passionate about our mission of Money Without Borders to partner with our People team to help drive an exceptional employee experience. You will own our Employee Experience and listening analytics work and drive impact across our employee lifecycle.

This is a unique opportunity to join a growing  People Analytics function and drive actionable insights within a People team that is serious about using data to shape the focus of its work. 

 

Here’s how you’ll be contributing:

  • Partner with senior stakeholders across the business to solve key business questions and hypotheses, employing consulting techniques to prioritize analytical projects effectively according to impact.
  • Co-design, implement & administer Wise’s employee listening strategy with our Employee experience team to capture Wisers feedback across our employee lifecycle 
  • Serve as a subject matter expert and consultant on Employee listening, working with our People Partner to drive the adoption and deployment of our employee listening surveys into the business.
  • Deploy Advanced analytics & data science techniques to analyze structured and passive employee listening sources to drive action across our employee lifecycle.
  • Build data science & machine learning models to explore the link between Employee Experience and business outcomes (e.g Customer Experience, Productivity etc).
  • Own our analytics products across Employee Experience working to democratize data while ensuring full compliance with privacy. 
  • Embed analytical thinking and assessment into our Employee experience initiatives so that we are consistently measuring the impact of the work we do
  • Play a role to upskill the analytical capabilities of the People Tribe at scale and can correctly interpret People data from our self-serve dashboards and people analytics products
  • Work across our full people analytics tool stack, building out our data infrastructure, working with APIs and complex data sets.

 

 A bit about you: 

  • You have a track record in scoping, building, and delivering impactful people analytics solutions 
  • You are an excellent communicator, able to tell compelling stories from complex data and drive action from your analysis.
  • You have experience with designing and owning data assets; you can build and maintain complex data sources and can leverage visualisation tools to democratise data.
  • You have stakeholder management skills; you know how to partner with senior stakeholders and work cross functionally.
  • You are proficient with SQL and a scripting language (e.g Python and/or R) and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow.
  • You have experience applying advanced statistical methods in the People/Applied Research space (e.g regression, clustering and classification, Hierarchical linear models, natural language processing, structural equation modelling etc.)
  • You have experience applying Machine Learning and AI in the HR/People Space.  
  • You are familiar with survey design, passive listening techniques and research concepts such as reliability and response bias.

 

#LI-KE1

Additional Information

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.

What the Team is Saying

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The Company
8,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money.

With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies.

In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Not Specified
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