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Wise
Wise

Focused on global money transfers.

People Analytics (Infrastructure)

RoleData Science
LevelMid Level
LocationSão Paulo
WorkOn-site
TypeFull-time
Posted1 week ago
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This role focuses on enhancing our self-service reporting capabilities within Visier and establishing the robust data foundations that allow our analytics team to deliver accurate, high-impact insights. As a Senior People Analytics, you will collaborate with stakeholders to understand reporting needs, translate those requirements into technical specifications, and build scalable solutions within our analytics infrastructure. You will be an integral part of the People team, serving as a primary resource for data-driven decision-making across the entire organization.

Key Responsibilities:

  • Data Integration:

Develop and maintain secure data pipelines between People systems and Snowflake, prioritizing data privacy and confidentiality.

  • Infrastructure Development:

Design and scale data assets to ensure a reliable and accessible foundation for people analytics.

  • Innovation:

Utilize modern technologies, including LLMs and advanced data engineering techniques, to build forward-thinking analytics solutions.

  • Data Modeling:

Construct and manage data models within Visier to support sophisticated reporting.

  • Visualization:

Design and maintain intuitive dashboards and visualizations that empower users to find answers independently.

  • Stakeholder Collaboration:

Engage with partners across the business to identify and integrate new data points into our reporting ecosystem.

  • Knowledge Sharing:

Create clear documentation and guides to ensure dashboards are accessible and easy to interpret.

  • Advocacy:

Promote the use of data tools across the company, providing demonstrations and support to increase data literacy.

  • Analytical Support:

Deliver ad-hoc reporting and analysis to support strategic initiatives across the organization.

Growth & Technical Upside

This role offers a "massive" technical runway. Beyond standard reporting, you will be at the forefront of our technical evolution, gaining exposure to:

  • Advanced data ingestion strategies.

  • Building the foundation for AI-driven people insights.

  • Direct impact on global HR strategy through infrastructure excellence.

Essential Technical Skills

  • SQL (Intermediate+):

Deep proficiency is required to navigate and manage our Snowflake data warehouse. You should be comfortable writing complex queries to extract and manipulate large datasets.

  • Python (Intermediate):

This is a daily-use tool for you. You must have proven experience using Python to manage API connections and automate data ingestion workflows.

  • Data Modeling:

A strong mental framework for turning unstructured "noise" into structured, scalable data models.

  • BI Tooling:

Mandatory hands-on experience with at least one major platform (e.g., Power BI, Tableau, Looker, or Google Data Studio).

  • Advanced/fluent English Desired Skills & "Nice-to-Haves"
  • Visier:

Previous experience with Visier is a significant advantage, though we recognize this is rare in the local market.

  • People Data Context:

Experience working with HR/People domains (Reward, Talent Acquisition, Shared Services) is a plus but not required if your technical logic is sound.

Benefits:

  • 💰 Salary range for this role is between 15.000BRL and 21.000BRL
  • 🚀 RSU’s in a rapidly growing company
  • 💻 Flexible working model – During the first six months, you’ll be in office most days of the week to become fully immersed in Wise’s culture and ways of working. After the initial period, you’ll be in office at least 3 days per week.
  • 💪 An annual self-development budget
  • 🩺 Health and dental allowance for you and your dependents
  • 💝 Company-paid: Life Insurance, and an EAP program
  • ☀️ Paid time off: 30 days vacation + 3 “Me” days + 1 volunteer day, annually
  • 🏝️ A paid 6-week sabbatical leave after four years
  • 👶🏼 18-weeks of paid parental leave, after a year with us and child care assistance
  • 🚌 Transportation vouchers
  • 🍕 Food (708 BRL per month) and Meal (1,166 BRL per month) vouchers
  • 🏋️ TotalPass access to 3,500 gyms and studios throughout Brazil

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.

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](https: //wise.jobs/our-mission) and

[what we offer](https: //wise.jobs/what-we-offer).

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About Wise

Wise

Wise

Public

WISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.

1-50

Employees

Bradford

Headquarters

$8.0B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.5

Management

3.7

72%

Recommend to a friend

Pros

Flexible work hours and remote options

Supportive and approachable management

Collaborative environment and teamwork

Cons

High workload and unpredictable demands

Communication issues and lack of direction

Stressful and overwhelming work environment

Salary Ranges

117 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Analyst

1 reports

$91,000

total per year

Base

$70,000

Stock

-

Bonus

-

$91,000

$91,000

Interview experience

4 interviews

Difficulty

2.3

/ 5

Duration

14-28 weeks

Offer rate

50%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Interview Round

4

Technical/Role-specific Interview

5

Final Interview

6

Offer Decision

Common questions

Technical Knowledge

Past Experience

Behavioral/STAR

Role-specific Skills

Problem Solving