Senior People Analyst

Posted 4 Hours Ago
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Hyderabad, Telangana, IND
Hybrid
Senior level
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
Build scalable People Analytics products and data infrastructure, partner with People stakeholders to solve business questions, embed analytic measurement into projects, work with APIs and complex datasets, create self-serve dashboards, and upskill the People tribe to drive data-informed decisions.
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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

THE ROLE

We’re looking for a Senior Data Analyst to join our People Analytics team. The People Analytics team empowers the People tribe to elevate our Wisers' experience by leveraging data and insights. 

As a Senior Data Analyst in People Analytics you will build People Analytics products at scale as well as conducting research projects to drive tangible business impact.

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 future of its work. 

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

  • Partnering with stakeholders across the People team to solve key business questions and hypotheses, employing consulting techniques to prioritise analytical projects effectively according to impact.

  • Embedding analytical thinking and assessments into our Projects & initiatives so that we are consistently measuring the impact of the work we do.

  • Working across our full people analytics tool stack, building out our people data infrastructure, working with APIs and complex data sets.

  • Upskilling the analytical capabilities of the People Tribe at scale and can correctly interpret People data from our self-serve dashboards and people analytics products

Qualifications

WHAT YOU’LL BRING

  • Technical Skills. You are proficient with SQL and know your way around data pipeline management tools (Snowflake, dbt, Git, Airflow)

  • You have experience designing and owning data assets; you can build and maintain complex data sources and can leverage visualisation (Visier, Looker, Superset) tools to democratise data.

  • Problem Solving. You have a track record in scoping, building, and delivering impactful People analytics solutions

  • Influence. You know how to partner with senior stakeholders and can tell compelling stories from complex data and drive action from your analysis.

NICE TO HAVE BUT NOT ESSENTIAL

  • Experience using Visier & Superset.

 

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.

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.

Skills Required

  • Proficient with SQL
  • Experience with Snowflake
  • Experience with dbt
  • Experience with Git
  • Experience with Airflow
  • Designing and owning data assets; building and maintaining complex data sources
  • Experience leveraging visualization tools to democratise data (Looker mentioned)
  • Track record scoping, building, and delivering impactful People analytics solutions
  • Ability to partner with senior stakeholders and tell compelling stories from complex data
  • Experience using Visier & Superset

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren
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The Company
9,000 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: Flexible
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