热门公司

招聘

职位Wise

People Analytics (Infrastructure)

Wise

People Analytics (Infrastructure)

Wise

São Paulo

·

On-site

·

Full-time

·

3d ago

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).

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](https://www.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).

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Wise

Wise

Wise

Public

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

1-50

员工数

Bradford

总部位置

$8.0B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.0

企业文化

4.1

职业发展

3.5

管理层

3.7

72%

推荐给朋友

优点

Flexible work hours and remote options

Supportive and approachable management

Collaborative environment and teamwork

缺点

High workload and unpredictable demands

Communication issues and lack of direction

Limited career advancement opportunities

薪资范围

120个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Analyst

3份报告

$110,003

年薪总额

基本工资

$84,614

股票

-

奖金

-

$91,000

$143,960

面试经验

4次面试

难度

2.3

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 25%

负面 50%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Interview Round

4

Technical/Role-specific Interview

5

Final Interview

6

Offer Decision

常见问题

Technical Knowledge

Past Experience

Behavioral/STAR

Role-specific Skills

Problem Solving