Mid-Level Analytics Engineer at Anheuser Busch InBev Canada

Campinas, São Paulo, Brazil -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analysis, Data Quality, Python, Data Visualization, Data Modeling, Data Optimization, Data Warehousing, Ad Hoc Analysis, Problem Solving, Communication, Business Acumen, Collaboration, Technical Feasibility, KPI Maintenance, Stakeholder Engagement

Industry

Manufacturing

Description

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Apply business rules and ensure the technical feasibility of business definitions. Create and maintain key KPIs related to the BEES platform. Collaborate closely with other Data Analysts, Data Engineers, and key stakeholders. Focus on data quality, understanding and applying rules from different vendors and business units. Conduct ad hoc analyses as needed to support strategic decisions. Work with large tables and complex relationships. What you'll need: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related fields. Advanced SQL skills with practical experience in data analysis and handling large datasets. Strong business acumen to translate data into actionable insights. Advanced English proficiency, with effective communication skills for cross-functional teamwork. Python and Databricks considered a plus, used for analysis and process automation. Experience with data visualization tools (Power BI, Tableau, or similar) is a plus. Basic knowledge of Data Modeling, Data Optimization, and Data Warehousing, with the ability to apply concepts in real projects. Experience performing ad hoc analyses and solving data-related problems. Strong focus on data quality and understanding rules from different vendors and business units. Ability to learn and adapt in technically challenging environments. More about you: You are motivated by building up world class solutions that impacts millions of users all over the world; Experienced working in an environment which uses and stimulates DevOps culture; You are creative when solving problems and is continuously seeking improvements for processes and solutions; You can communicate clearly with your team and the company to identify issues and demands; You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result. What We Offer: Performance based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com

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Responsibilities

The Analytics Engineer will apply business rules and ensure the technical feasibility of business definitions while creating and maintaining key KPIs related to the BEES platform. They will collaborate closely with Data Analysts, Data Engineers, and stakeholders to focus on data quality and conduct ad hoc analyses to support strategic decisions.