Data Analytics Consultants - Mastercard Advisors (PJ)

Customer Intelligence Inc.; São Paulo; Híbrido; BRL 120 000 - 240 000; Tempo parcial

Resumo da oferta

Customer Intelligence is expanding its Performance Analytics team in Brazil, hiring at four seniority levels from Consultant to Managing Consultant. The role focuses on designing, implementing, and scaling analytics solutions using customer data, technology, and proprietary platforms to deliver strategic insights.

You'll analyze datasets, build predictive models, manage client relationships, and present data-driven narratives to executives, while collaborating with product, business development,

Qualificações

• Undergraduate degree + data & analytics experience in business intelligence.
• Hands-on data analytics proficiency (Python, R, SQL, SAS).
• Experience communicating with clients and internal stakeholders in English.
• Advanced skills in Word, Excel, and PowerPoint.

Responsabilidades

• Design, implement, and scale analytical solutions using customer data and proprietary platforms.
• Analyze large datasets and synthesize findings into business recommendations.
• Build trusted relationships with clients and internal stakeholders.
• Prepare and deliver effective client presentations with data storytelling.
• Contribute to the firm’s intellectual capital and team culture.

Conhecimentos

Python

R

SQL

SAS

Word

Excel

PowerPoint

English communication

Formação académica

Undergraduate degree in data & analytics

Master's degree in advanced analytics

Ferramentas

Hadoop

Impala

Hive

PySpark

Descrição da oferta de emprego

Data Analytics Consultants — All Levels (Consultant to Senior Managing Consultant) | Brazil

• Hybrid (3x per week on site)
• PJ Contract (CNPJ)
• Project-based engagement: now – January 2027

At Customer Intelligence we combine traditional management consulting with rich data assets, proprietary platforms, and technology to deliver powerful strategic insights for clients across banking, payments, retail, and restaurants. Our Performance Analytics team translates data into insights — designing, implementing, and scaling analytical solutions that turn analysis into clear recommendations and impactful narratives.

We are growing our Performance Analytics team in Brazil and hiring at FOUR different seniority levels for the same engagement:

• Consultant — up to 3 years of data & analytics experience. You'll analyze datasets, identify trends and anomalies, support presentations, and grow with mentorship from analytics leaders.
• Associate Managing Consultant — 3+ years of experience. You'll manage deliverables and workstreams, build predictive models (segmentation, regression), own client relationships at manager level, and coach junior consultants.
• Managing Consultant — 6+ years of experience. You'll lead client engagements end-to-end, develop analytics strategies, own mid-to-senior stakeholder relationships, lead the delivery team, and support business development.

• Design, implement, and scale analytical solutions using customer data, technology, and proprietary platforms
• Analyze large datasets and synthesize key findings into business recommendations via descriptive, predictive, or prescriptive analytics
• Build trusted working relationships with clients and internal stakeholders (Product, Business Development)
• Prepare and deliver effective, business-focused client presentations with impactful data storytelling
• Contribute to the firm's intellectual capital and a collaborative, inclusive team culture

• Undergraduate degree + data & analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
• Hands-on proficiency with data analytics software (Python, R, SQL, or SAS)
• Experience managing clients, internal stakeholders, and/or teams (scope grows with level)
• Advanced Word, Excel, and PowerPoint
• Ability to juggle multiple tasks and clients in a fast-paced, deadline-driven environment
• Ability to communicate effectively in English
• Building, managing, and maintaining database structures
• Hadoop framework and coding with Impala, Hive, or PySpark
• Master's degree in advanced analytics, big data, or a mathematical discipline (not required)

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