About ZXV:

Visit:

Careers for Diversity

HOW WE DEFINE DIVERSITY, EQUITY AND INCLUSION

Diversity is about differences: Each of us is different, and at ZX Ventures we value and respect individual differences. ZX Ventures takes the widest possible view of diversity to include attributes such as age, gender, gender identity and expression, sexual orientation, language, ethnicity, nationality, family, caretaker, and marital status, religion and belief, social and economic background, veteran status, education, experience, disability and any other characteristics that make our colleagues unique.

Inclusion is about valuing these differences: Inclusion is the behaviors that recognize, understand and value differences, promote authenticity and provide a sense of belonging. Inclusion is also about leveraging differences to foster innovation and drive business growth.

Equity is about ensuring that everyone has access to the same opportunities: Equity recognizes that both privileges and barriers exist and, as a result, we all don’t start from the same place. At ZX Ventures we believe that it’s important to acknowledge unequal starting places as a first step towards to correcting the imbalance.

OUR FOUR-PILLAR APPROACH TO ADVANCING DIVERSITY, EQUITY AND INCLUSION ENSURES THIS ETHOS ACROSS OUR BUSINESS – FROM RECRUITMENT TO STRATEGIC DECISION-MAKING TO INTERNAL PROGRAMMING.

  1. People: Building a company that reflects the diversity of our consumers
  2. Workplace: Creating an inclusive environment where all people belong
  3. Marketplace: Setting the standard in Corporate Venture Capital by investing in founders, partners, and leaders that reflect today’s consumer landscape
  4. Communities: Ensuring our company has a long-term, positive impact in local communities

We empower entrepreneurs to unlock exponential growth.

We are here to invest ahead of the curve: seeding, launching, and scaling new products that deliver exceptional consumer experiences and bring (more) people together. We partner with devoted founders and best-in-class business builders and operators to help them grow their businesses.

We have a mandate from Anheuser-Busch InBev to nurture, support, and grow the products and services of tomorrow. We build, grow and invest in businesses across industries – from consumer products to technology and everything in between.

Our value proposition

We provide our portfolio companies with access to AB InBev’s vast network of subject matter experts, unparalleled supply chain capabilities, route-to-market expertise, marketing properties and partnerships to supercharge growth.

Global Footprint
Access AB InBev’s best-in-class global supply chains and production facilities

Marketing Assets
Tap into our marketing teams, design capabilities, and sponsorship deals

Vast Network
Build commercial relationships with teams across AB InBev’s 500+ brands

Huge Reach
Connect with our 6M+ points of sale around the world

We invest in companies across verticals and stages around the world.

We seed, launch, and scale new products that deliver exceptional consumer experiences and bring people together.

Some of our products:

Lembrou de alguém? Compartilhe a vaga!

Compartilhar no facebook
Compartilhar no twitter
Compartilhar no linkedin
Compartilhar no whatsapp
Compartilhar no email
Compartilhar no telegram

Fale com Sabrina

Assistente de RH da Intera

Vagas de emprego em Tecnologia, Desenvolvimento de Software, Back-End, Front-End.

Data Engineering Specialist

ABOUT THE JOB

Data Engineering Specialist Responsabilities at ZX Ventures:

Main responsabilities

  • Support the architecture evolution of data management platforms
  • Design, create and optimize key data pipelines contributing to best practices and standards
  • Discuss business requirements and design data models to support their analytical and business automation needs
  • Effectively develop data transformation jobs, selecting the right tool for each job
  • Ensure end to end data quality
  • Lead data security initiatives, focusing on business continuity and privileged data protection

You may apply if you:​

REQUIREMENTS​

  • Degree in Computer Science or related field.
  • 6+ years practical experience with data management / data integration / analytics projects in real-world applications.
  • Strong skills in database management, modeling, querying and ETL processing.
  • Clear understanding of modern data stores architectures and concepts of structured and unstructured data types.
  • Results orientated, curious, attention to detail, and a strong collaborator.
  • Excellent strategic and analytical thinking skills.
  • We expect our team members to learn quickly and handle a number of challenges, wherever they are needed within the company.
  • Ability to build strong working relationships (globally).
  • Great visual, oral, and technical communication skills.
  • Interest in our industry and its evolution. This includes someone who is interested in solving new customer problems, the development of processes, and discovering new markets opportunities.

Application Forms:

Data Engineering Specialist

Global Senior Analytics Manager

ABOUT THE JOB

Your main role as Global Senior Analytics Manager:

The Senior Analytics Manager for Beverage Fund – LATAM, reporting to Global Director, Beverage Fund will be responsible for designing and executing global programs to deliver world class analytical solutions for ZX LATAM Beverage fund. The Senior Analytics Manager will work as part of our Global Data Team, along with Data Integration Specialists, Analytics Specialists and Data Architects located across the world, to unlock the value of our data assets and build a truly data driven organization.

Global Analytics Manager Responsabilities at ZX Ventures:

Main responsabilities

  • Develop relationships with business stakeholders and align requirements in support of individual business needs
  • Develop tools and solutions that improve corporate analytics maturity to support growing demand for fact based, customer-centric decision making.
  • Manage the design, development, and delivery of self-service data infrastructure, ensuring data quality and proper governance.
  • Lead multi-functional data team to apply machine learning, artificial intelligence, quantitative analysis, statistical analysis, predictive analysis, optimization algorithms to solve complex business problems.
  • Define roadmap for long-term analytics needs, serving the stakeholders needs for business monitoring, insights and data driven automation.
  • Communicate the value and manage the implementation of world-class data solutions.
  • Develop ad hoc analysis of critical issues that impact business performance and translate the analysis into actionable recommendations or automation opportunities.
  • Lead the transformation towards a data driven organization, delivering descriptive, diagnostic, predictive and prescriptive analytics solutions.
  • Track and report progress against the goal for each venture, and identify gaps and opportunities based on insights and analytics for improving the performance of the fund

You may apply if you:​

REQUIREMENTS​

  • True self-starters. ZX Ventures is proud of the speed at which our business moves, and we are looking for those who are willing to be a part of the our fast-paced environment.
  • Strong relationship management skills; ability to collaborate with people at all levels throughout the organization.
  • Strong communication skills, both written and verbal; ability to effectively communicate technical concepts to non-technical audiences. Proficiency in English.
  • Advanced project and people management skills that are needed to deliver great results in our work environment, as well as execution drive.
  • Excellent analytic, quantitative, and problem-solving skills with proven ability to deliver actionable insights that drive decisions and return on investment.
  • Proficient in computer applications used to manipulate large data sets to analyze, test, validate and report data.
  • Strong skills in database modeling, database querying, web analytics platforms, business intelligence platforms and advanced data wrangling in Excel.
  • Experience with data science projects in real-world applications.
  • Clear understanding of modern data stores architectures and concepts of structured and unstructured data types.
  • Performs well in an environment with competing priorities and multiple projects.
  • Someone who is intellectually curious about people and data – you know how to ask questions to get to the heart of the matter.
  • A minimum of 8 years of experience working with Data and Analytics.

Benefits:

Application Forms:

Global Analytics Manager