Sr. Analyst, People Analytics

MasterCard; São Paulo; Presencial; USD 50.000 - 70.000; Tempo integral

Resumo da oferta

MasterCard is seeking a Sr. Analyst in People Analytics to join their Global People Operations and Insights team. The ideal candidate will leverage their analytical skills to provide data-driven insights and develop scalable reporting solutions. Responsibilities include creating dashboards, collaborating across teams, and ensuring data integrity. A Bachelor's degree in a related field and experience with data analytics tools are required.

Qualificações

• Experience with organizational or workforce data.
• Proficiency in Alteryx, Tableau/PowerBI, and data preparation/ETL.
• Strong SQL skills for writing, executing, and optimizing complex queries.

Responsabilidades

• Develop Tableau/PowerBI dashboards and reports.
• Collaborate with Data Management and HR Systems teams.
• Manage project responsibilities and seek guidance from senior team members.

Conhecimentos

Communication

Problem-solving

Interpersonal skills

Data analysis

Agile methodologies

SQL

Data governance

Formação académica

Bachelor's degree in Engineering, Analytics, Computer Science, Business, Psychology, Management

Ferramentas

Tableau

PowerBI

Alteryx

Descrição da oferta de emprego

Job Title:

Sr. Analyst, People Analytics

Overview:

The Sr. Analyst, People Analytics will be a member of the Global People Operations and Insights team, which provides data, analytics, operational, and strategic decision support across multiple business units and regions within Mastercard.

This individual will bring experience in analytics, project management, and agile methodologies to enable data-driven decisions about talent at Mastercard. Ideal candidates will be detail-oriented, execution-focused, and skilled at identifying opportunities to introduce consistency and scale to analytical outputs within a matrixed organization.

Role:

1. Partner closely with Senior Data Analysts within the broader People Operations and Insights team to identify opportunities for scalable reporting solutions and visualizations.
2. Develop Tableau/PowerBI dashboards and reports that follow visualization best practices and effectively communicate a story.
3. Participate in drafting documents and presentations to communicate innovations, ideas, or discoveries.
4. Contribute to building a motivated, innovative, and productive team that creates next-generation analytics for Mastercard.
5. Generate and implement ideas to continuously improve analytics and reporting services.
6. Understand the underlying query or challenge behind data requests, beyond the surface ask.
7. Collaborate with Data Management and HR Systems teams to validate and ensure the integrity of people data.
8. Manage project responsibilities and seek guidance from senior team members to oversee the work with the Technology team at Mastercard.
9. Exercise exceptional judgment and discretion when handling highly sensitive people data.
10. Bring experience with agile methodologies, preferably Jira.

All About You:

Essential:

• Experience working with organizational or workforce data.
• Ability to collaborate across teams and time zones.
• Flexibility and responsiveness to changing priorities.
• Openness to feedback and strong self-awareness.
• Excellent communication skills, both verbal and written.
• Adherence to data governance and privacy standards.
• Curiosity and enthusiasm for applying data to solve business challenges.
• Problem-solving skills, resourcefulness, and creativity.
• Strong interpersonal skills for building relationships and influencing.
• Proficiency in Alteryx, Tableau/PowerBI, and data preparation/ETL.
• Knowledge of programming languages like R or Python.
• Strong SQL skills for writing, executing, and optimizing complex queries.
• Experience developing complex reports and dashboards.
• Ability to communicate complex analyses clearly to both technical and non-technical audiences.

Desirable:

• Experience with data modeling tools.
• Experience with optimization models.
• Experience working on cloud platforms.
• Experience with Big Data technologies.
• Knowledge of advanced statistical techniques and machine learning.

Education:

Bachelor's degree in Engineering, Analytics, Computer Science, Business, Psychology, Management, or a related field.

Note: As Mastercard is a global company, some team members may review applications from outside the listed location. Please attach a resume in English to expedite screening.