This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a [People Analytics Specialist] based in [Brazil].
This role offers the opportunity to transform workforce data into strategic decisions that shape the employee experience and business outcomes.
You will work at the intersection of analytics, technology, and people strategy, helping leaders understand organizational challenges through reliable insights.
The position requires ownership of complex analytical projects, from defining hypotheses to creating data-driven solutions.
You will leverage advanced analytics, statistical modeling, and data products to identify trends and anticipate workforce needs.
Working in a collaborative, innovative environment, you will partner with technical teams and business stakeholders to deliver meaningful impact.
This is a senior-level opportunity for someone passionate about using data to influence decisions and improve how organizations operate.
Accountabilities:
As a People Analytics Specialist, you will be responsible for developing advanced analytical solutions that support strategic workforce decisions. You will act as a trusted partner for leadership and People teams, translating complex data into actionable insights while improving the quality and reliability of analytics products.
- Own complex and ambiguous analytical challenges, from defining organizational hypotheses to validating methodologies and delivering data-driven recommendations.
- Develop predictive models and statistical analyses to address workforce challenges such as retention, engagement, and organizational effectiveness.
- Build and improve data products that serve as reliable sources of truth for business and People-related decisions.
- Apply advanced analytics techniques, experimentation methods, and data modeling approaches to generate impactful insights.
- Translate technical findings into clear narratives and recommendations for senior stakeholders, including leadership teams.
- Collaborate with Data Engineering and People teams to ensure data quality, accuracy, and scalability.
- Mentor less experienced analysts, sharing knowledge and raising the technical capabilities of the team.
- Identify opportunities to improve processes, methodologies, and analytical practices.
Requirements:
The ideal candidate has strong experience in People Analytics, Data Science, or a related analytical field, with the ability to combine technical expertise, business understanding, and strong communication skills.
- Proven experience working with People Analytics, Data Science, or analytics projects focused on organizational or workforce challenges.
- Advanced proficiency in Python or R for statistical modeling, predictive analysis, and data-driven solutions.
- Strong SQL skills and experience working with large and complex datasets.
- Solid knowledge of statistics, experimental design, hypothesis validation, and model evaluation.
- Experience translating complex technical analyses into business narratives for senior stakeholders.
- Previous experience mentoring analysts or providing technical guidance to team members.
- Advanced English proficiency and fluency in Portuguese, with comfort collaborating in international environments.
- Strong attention to detail and commitment to data accuracy, ensuring insights are reliable and trustworthy.
- Ability to work independently, manage ambiguity, and take ownership of analytical initiatives.
Benefits:
- Competitive salary.
- Profit sharing program.
- Meal allowance.
- Health insurance.
- Dental plan.
- Life insurance.
- Childcare subsidy and support for atypical parenthood.
- Wellhub membership.
- Home office allowance.
- Employee assistance program with mental health, social, legal, and financial support.
- Extended parental leave.
- Birthday, Mother’s Day, and Father’s Day days off.
- Benefits club with discounts on everyday services.
- Discounts at educational institutions.
- Children’s reading kit.
- Remote-first work model with flexibility to work from anywhere in Brazil.
- Opportunities to work with innovative technology, analytics, and high-impact projects.
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