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Senior Data & Insight Manager

Senior Data & Insight Manager

KeetaSão Paulo, Brasil
Há 27 dias
Descrição da vaga

About Keeta : Keeta

is the international subsidiary of

Meituan

, a global giant in the delivery sector, and it's on an ambitious mission : to revolutionize the delivery of food and consumer goods worldwide. Our motto is simple yet powerful :

"We help people eat better, live better."

Guided by this principle, we bring innovation and technology to the global stage.

With over 1,000 team members around the world, Keeta is in full expansion

— and you could be part of this journey!

To know more : Keeta Website

Job Responsabilities

Root Cause Analysis & Strategic Diagnosis

Investigate complex business problems through structured root cause analysis.

Identify performance gaps across operations, product, and user experience, proposing data-driven solutions.

Develop diagnostic frameworks to continuously monitor and improve business health.

KPI Design & Operational Efficiency

Define and track key performance indicators focused on operational efficiency and business scalability.

Build dashboards and reports that provide visibility into process bottlenecks, cost drivers, and performance trends.

Collaborate with operations and product teams to implement improvements based on data insights.

User Growth & Behavioral Analytics

Analyze user acquisition, retention, and engagement metrics to identify growth opportunities.

Segment user behavior to uncover patterns that inform product strategy and marketing initiatives.

Support A / B testing and experimentation to validate hypotheses and optimize conversion funnels.

Cross-Functional Collaboration & Strategic Influence

Partner with product, marketing, operations, and leadership teams to align on priorities and drive execution.

Present findings and recommendations clearly to both technical and non-technical stakeholders.

Act as a strategic advisor, using data to influence decision-making across the organization.

Job Requirements

Hard Skills

Advanced SQL proficiency for querying large datasets and building scalable data solutions.

Strong analytical toolkit : Excel, Python or R, Tableau or Power BI.

Experience with experimentation frameworks, cohort analysis, and funnel optimization.

Familiarity with data modeling and business intelligence best practices.

Soft Skills

Structured problem-solving and strategic thinking.

Fluent in English (spoken and written) to work with international teams

Ability to simplify complex data into clear narratives and recommendations.

High ownership, adaptability, and bias for action in fast-paced environments.

Curiosity and drive to understand user behavior and business dynamics.

Location : 100% On site - Vila Olimpia, SP

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Data Manager • São Paulo, Brasil

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