Data Business Analyst Product Strategy

📍 Job Overview

Job Title: Data Business Analyst - Product Strategy

Company: AB InBev | Growth Group

Location: São Paulo, Brazil

Job Type: Full-Time

Category: Data & Analytics / Product Strategy / GTM Operations

Date Posted: October 21, 2025

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

• This role is pivotal in translating raw data into actionable business intelligence, driving informed decision-making within product strategy at AB InBev's Growth Group.

• You will leverage data analysis and statistical research to proactively guide business growth and identify key opportunities for digital transformation in the eCommerce, food, beverage, and retail sectors.

• The position requires a strong aptitude for SQL, data processing, and a solid understanding of statistical concepts to support complex business needs.

• As a Data Business Analyst, you will be instrumental in developing insightful dashboards and visualizations to communicate findings effectively to stakeholders, contributing to the reinvention of eCommerce.

📝 Enhancement Note: While the title includes "Product Strategy," the core responsibilities and required skills lean heavily into Data Analysis and Business Intelligence, suggesting this role is focused on providing the analytical foundation for product strategy rather than defining it directly. The emphasis on turning data into insights for decision-making aligns with a Business Analyst or Data Analyst role with a strategic focus.

📈 Primary Responsibilities

• Conduct comprehensive data extraction and processing using advanced SQL queries to build robust datasets for analysis.

• Perform in-depth data analysis to identify trends, patterns, and correlations that support strategic business decisions and product development initiatives.

• Develop and maintain interactive dashboards and Business Intelligence (BI) reports using tools like Power BI to visualize key performance indicators (KPIs) and operational metrics.

• Translate complex analytical findings into clear, concise, and compelling narratives for presentations to stakeholders, using tools like PowerPoint.

• Collaborate closely with cross-functional product groups and business stakeholders to understand their data needs, define analytical requirements, and deliver impactful insights.

• Proactively identify opportunities for process improvements and data-driven innovations within the eCommerce and digital commerce landscape.

• Apply statistical concepts and methodologies to derive meaningful insights and recommendations for business growth.

• Support the development and refinement of data models and analytical frameworks to enhance reporting accuracy and predictive capabilities.

• Maintain data integrity and ensure the accuracy of all analyses and reports generated.

📝 Enhancement Note: The raw description mentions "reinventing eCommerce in the food, beverage & retail industry." This implies a strategic focus on digital transformation and market disruption, suggesting the analyst will be involved in analyzing new digital product performance, customer behavior within digital channels, and market opportunities for digital growth.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a quantitative field such as Data Science, Statistics, Economics, Computer Science, Mathematics, Business Analytics, or a related discipline.

Experience:

• 2-5 years of experience in a Data Analyst, Business Analyst, or similar role with a focus on data-driven insights and business strategy.

• Proven experience in transforming raw data into actionable business intelligence and insights.

Required Skills:

• Data Extraction and Processing: Proficient in SQL for data extraction and manipulation from relational databases.

• Data Analysis & Statistical Concepts: Solid understanding and practical application of statistical concepts, hypothesis testing, and analytical methodologies.

• Business Intelligence & Visualization: Experience in developing dashboards and reports using Power BI.

• Presentation & Communication: Strong presentation skills with proficiency in PowerPoint and the ability to craft clear, data-driven stories.

• Collaboration & Stakeholder Management: Proven ability to effectively engage with and manage stakeholders, translating business needs into analytical requirements.

• Advanced English Level: Fluency in English, both written and spoken, for effective communication with global teams and stakeholders.

Preferred Skills:

• Databricks & Excel: Experience with Databricks for big data processing and advanced Excel for data analysis.

• Programming Languages: Experience with Python or PySpark for advanced data manipulation, analysis, and automation is highly desirable.

• eCommerce & Digital Commerce: Familiarity with eCommerce platforms, digital marketing analytics, and consumer behavior in online retail.

• Agile Methodologies: Understanding of Agile frameworks and their application in data analysis and product development cycles.

📝 Enhancement Note: Given the role is within AB InBev's "Growth Group" and focuses on "Product Strategy," a strong understanding of B2B and DTC (Direct-to-Consumer) digital platforms like BEES, Ze Delivery, and TaDa Delivery would be highly advantageous, implying a need to analyze user behavior, conversion rates, and platform performance within these specific digital ecosystems.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase demonstrable experience in transforming raw data into actionable business insights through case studies or project examples.

• Include examples of data analysis projects that led to significant business decisions or process improvements.

• Highlight your ability to build and interpret dashboards and reports, demonstrating proficiency with BI tools like Power BI.

Process Documentation:

• Examples of how you have documented data analysis processes, including data sources, methodologies, and key findings.

• Case studies demonstrating your approach to stakeholder management, including how you gathered requirements and managed expectations.

• Documented instances of using data to identify bottlenecks or inefficiencies in business processes and proposing solutions.

• Evidence of contributing to the development or refinement of reporting frameworks or analytical workflows.

📝 Enhancement Note: For a role focused on product strategy and growth, the portfolio should ideally include examples of analyzing customer acquisition costs (CAC), customer lifetime value (CLTV), conversion funnels, A/B testing results for digital products, and user engagement metrics. Demonstrating an understanding of how these metrics drive product roadmap decisions is crucial.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: R$ 7,000 - R$ 12,000 BRL per month.

• Methodology: This estimate is based on industry benchmarks for Data Business Analysts with 2-5 years of experience in São Paulo, Brazil. Factors considered include the tech and analytics sector in Brazil, the size and scope of AB InBev's Growth Group, and the typical compensation for roles involving SQL, BI tools (Power BI), and statistical analysis. This range can vary based on specific skills, interview performance, and final negotiation.

Benefits:

• Performance-based bonus*

• Attendance Bonus*

• Private pension plan

• Meal Allowance

• Health insurance

• Dental insurance

• 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

Working Hours:

• Standard full-time work week, approximately 40 hours per week.

• The "Casual office and dress code" suggests a flexible work environment, but the role is on-site, implying a need for consistent presence during core business hours to facilitate collaboration and in-person interactions.

📝 Enhancement Note: The asterisked benefits (*Rules applied) indicate that specific eligibility criteria, contribution levels, or conditions may apply, which candidates should clarify during the hiring process. For a Data Business Analyst role, access to continuous learning platforms and potentially conference attendance for skill development would be valuable, aligning with the "Scholarship" and "Language and training platforms" benefits.

🎯 Team & Company Context

🏢 Company Culture

Industry: Food & Beverage / Consumer Products / Technology (Digital Commerce)

Company Size: Large (AB InBev is a global leader with tens of thousands of employees worldwide). The Growth Group itself is a significant division focused on innovation and digital transformation.

Founded: AB InBev was formed through a series of mergers, with its roots going back centuries. The Growth Group was specifically created in 2022, indicating a recent, agile, and innovation-focused initiative within the larger corporation.

Team Structure:

• The Data Business Analyst will be part of the Growth Group, likely integrated within a product team or a central analytics function supporting multiple product groups.

• Reporting structure will likely be to a Data Analytics Manager or a Product Lead, with close collaboration across product managers, engineers, marketing, and sales teams.

Methodology:

• Data Analysis & Insights: Emphasis on leveraging data to drive strategic decisions, with a focus on statistical rigor and actionable insights.

• Agile & Iterative Development: The Growth Group's focus on digital transformation and new product development suggests an agile and iterative approach to analysis and strategy implementation.

• Customer-Centricity: Understanding and responding to consumer and customer needs is paramount, driving the need for deep analysis of user behavior and market trends.

Company Website: www.abinbev.com

📝 Enhancement Note: The creation of the Growth Group in 2022 signifies a strategic pivot towards digital, B2B, and DTC channels. This implies a culture that values innovation, data-driven experimentation, and a fast-paced, results-oriented environment. The "casual office and dress code" also points to a more modern, less corporate, and potentially more collaborative work atmosphere within this specific group.

📈 Career & Growth Analysis

Operations Career Level: This role appears to be at an intermediate level, suitable for professionals with 2-5 years of experience. It offers a blend of analytical execution and strategic contribution, serving as a key stepping stone for more senior analytical or product-focused roles.

Reporting Structure: The Data Business Analyst will likely report to a manager within the Growth Group's analytics or product strategy division. This structure provides mentorship and guidance while allowing for significant autonomy in analytical tasks. Collaboration will extend to product managers, engineers, and commercial teams, offering broad exposure to different business functions.

Operations Impact: The primary impact of this role is on driving informed business decisions that fuel organic growth and digital transformation. By turning data into insights, the analyst directly influences product roadmaps, marketing strategies, B2B/DTC platform optimization, and overall business performance within the rapidly evolving consumer goods and eCommerce landscape.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas like eCommerce analytics, customer segmentation, predictive modeling, or advanced BI tool development.

• Leadership: Progress to a Senior Data Analyst, Analytics Manager, or Product Analyst role, leading projects and mentoring junior team members.

• Cross-Functional Moves: Transition into Product Management, Business Intelligence Strategy, or other strategic roles within the Growth Group or broader AB InBev organization.

• Skill Development: Utilize company-provided training platforms, scholarships, and potential industry certifications to continuously enhance analytical and strategic capabilities.

📝 Enhancement Note: The "Growth Group" designation implies a focus on scaling and innovation. This suggests that individuals who can demonstrate a proactive approach to identifying growth levers and driving measurable results will have excellent opportunities for advancement within this dynamic division.

🌐 Work Environment

Office Type: The "Casual office and dress code" suggests a modern, open, and collaborative office environment rather than a traditional, formal corporate setting. This is typical for innovation hubs and tech-focused divisions within large corporations.

Office Location(s): São Paulo, Brazil. This is a major economic hub in Latin America, offering access to a vibrant business ecosystem and a diverse talent pool.

Workspace Context:

• Collaborative Environment: Expect an environment that encourages teamwork, brainstorming, and cross-functional interaction. The role requires close communication with various teams, so an office setup that facilitates this is likely.

• Tools and Technology: Access to AB InBev's technology stack, including advanced analytics platforms, BI tools, and potentially cloud-based data warehouses.

• Team Interaction: Opportunities to engage with a diverse group of professionals from analytics, product development, marketing, and sales, fostering a rich learning and networking experience.

Work Schedule: While the standard is approximately 40 hours per week, the emphasis on innovation and growth within the Growth Group might occasionally require flexibility to meet project deadlines or respond to urgent business needs. However, the casual environment and benefits suggest a balance is valued.

📝 Enhancement Note: As an on-site role in São Paulo, candidates should consider the commute and local work culture. The emphasis on "reinventing eCommerce" suggests a dynamic, potentially project-driven pace within the office.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and application to assess alignment with core qualifications and experience.

• Technical Assessment: Likely involves a technical test or case study focusing on SQL, data analysis, and potentially BI tool proficiency (e.g., Power BI). This may also include statistical reasoning questions.

• Hiring Manager Interview: A discussion focused on your experience, problem-solving approach, and understanding of business analytics within a strategic context.

• Panel Interview/Cross-Functional Interview: Interviews with team members from product, engineering, or other business units to assess collaboration skills, communication effectiveness, and cultural fit within the Growth Group.

• Final Interview: Potentially with a senior leader to discuss overall fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the business problem, your analytical approach, the tools used, and the quantifiable business impact (e.g., % increase in conversion, $ saved, % improvement in efficiency).

• Showcase Tool Proficiency: Include examples demonstrating your command of SQL, Power BI, and ideally Python/PySpark. Highlight complex queries, dashboard designs, and analytical models.

• Tell a Story: Structure your portfolio pieces as mini case studies: Problem -> Solution (Your Analysis) -> Result. Emphasize your role and the specific insights you generated.

• Tailor to AB InBev: If possible, reference how your skills and experience can address challenges or opportunities within the beverage industry or B2B/DTC eCommerce.

• Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and that key achievements are immediately apparent.

Challenge Preparation:

• SQL Proficiency: Be ready for complex SQL query writing tasks, including joins, subqueries, window functions, and aggregations.

• Data Interpretation: Practice interpreting data visualizations and identifying key takeaways, potential biases, and further analytical questions.

• Business Acumen: Prepare to discuss how data analysis can drive business growth, optimize product performance, and inform strategic decisions, particularly in the context of eCommerce and consumer goods.

• Communication Skills: Practice explaining technical concepts and analytical findings in simple, business-friendly terms. Be ready to articulate your thought process clearly.

📝 Enhancement Note: Given the "Product Strategy" aspect of the title, expect questions that probe your ability to connect data insights to product development. Be prepared to discuss how you would analyze user feedback, market trends, and competitive data to inform product improvements or new feature development.

🛠 Tools & Technology Stack

Primary Tools:

• SQL: Essential for data extraction, manipulation, and analysis from various databases.

• Databricks: Likely used for large-scale data processing, big data analytics, and potentially machine learning model development.

• Microsoft Excel: Advanced proficiency expected for ad-hoc analysis, data modeling, and reporting.

Analytics & Reporting:

• Power BI: The primary tool for dashboard and BI report development, visualization, and interactive data exploration.

• PowerPoint: Crucial for presenting data-driven stories and insights to stakeholders.

CRM & Automation:

• CRM Systems (e.g., Salesforce, custom platforms): While not explicitly mentioned, understanding CRM data and its use in customer analytics is often beneficial.

• Python/PySpark (Desirable): For advanced data analysis, automation of tasks, scripting, and potentially integration with ML frameworks.

📝 Enhancement Note: The mention of Databricks suggests AB InBev's Growth Group is working with significant data volumes, likely leveraging a data lake or data warehouse architecture. Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) that often underpin Databricks would be an asset.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core tenet, emphasizing the use of data and analytics to guide all strategic and operational choices.

• Innovation & Growth: A strong focus on exploring new technologies, business models, and market opportunities to drive organic growth.

• Collaboration & Teamwork: Encouraging cross-functional partnerships to achieve shared objectives and leverage diverse perspectives.

• Impact & Accountability: A results-oriented culture where individuals are empowered and expected to make a tangible impact.

• Customer Centricity: Deep understanding of consumer and customer needs as the foundation for product development and business strategies.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration between analytics, product, engineering, marketing, and sales teams is vital.

• Open Communication: Encouragement of direct and transparent communication, with a focus on sharing insights and feedback constructively.

• Agile Adaptability: A willingness to adapt strategies and approaches based on data insights and evolving market conditions.

• Knowledge Sharing: A culture that promotes sharing best practices, analytical techniques, and learnings across teams.

📝 Enhancement Note: The "Growth Group" likely fosters a startup-like agility within the larger corporate structure. This means embracing change, being comfortable with ambiguity, and actively contributing to shaping processes and strategies.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Scale: Managing and analyzing vast datasets from diverse sources within a global organization.

• Translating Insights into Action: Effectively communicating complex analytical findings to stakeholders who may not have a data background, ensuring insights are understood and acted upon.

• Pace of Innovation: Keeping up with the rapidly evolving digital landscape and AB InBev's ambitious growth and digital transformation goals.

• Prioritization: Balancing multiple stakeholder requests and project demands in a dynamic environment.

Learning & Development Opportunities:

• Advanced Analytics Training: Access to platforms and resources for honing skills in SQL, Python, BI tools, and statistical modeling.

• Industry Exposure: Opportunities to work with leading digital products in the beverage and eCommerce space, gaining invaluable industry experience.

• Mentorship: Guidance from experienced professionals in data analytics, product strategy, and business growth within AB InBev.

• Career Advancement: Clear pathways for progression into senior analytical roles, product management, or specialized strategic positions.

📝 Enhancement Note: The challenge of "reinventing eCommerce" implies a need for continuous learning and adaptation. The company offers strong support for this through its various benefits, encouraging employees to stay at the forefront of industry trends and technologies.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data analysis to influence a significant business decision. What was the outcome?" (Focus on demonstrating impact and strategic influence).

• "How would you approach analyzing the performance of a new feature launched on our BEES platform?" (Showcase your analytical framework, key metrics, and interpretation skills).

Company & Culture Questions:

• "What interests you about AB InBev's Growth Group and our mission to reinvent eCommerce?" (Showcase your research into their digital products and strategic goals).

• "How do you stay updated on the latest trends in data analytics and digital transformation?" (Demonstrate your commitment to continuous learning).

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem or question your project addressed.

• Show, Don't Just Tell: Use visualizations (screenshots of dashboards, charts) to illustrate your findings. Be ready to walk through them step-by-step.

• Quantify Results: For each project, present the measurable impact. Use numbers, percentages, and dollar figures where possible.

• Explain Your Process: Briefly outline your methodology, tools used, and any challenges overcome.

• Connect to AB InBev: Conclude by explaining how the skills and insights demonstrated in your portfolio are relevant to the role and AB InBev's objectives.

📝 Enhancement Note: Prepare to discuss your understanding of key eCommerce metrics like conversion rates, customer acquisition cost (CAC), customer lifetime value (CLTV), churn rate, and average order value (AOV), and how you would analyze them within the context of AB InBev's digital products.

📌 Application Steps

To apply for this Data Business Analyst position:

• Submit your comprehensive application through the provided Greenhouse link.

• Tailor your Resume: Highlight specific achievements and responsibilities that directly align with the required skills in SQL, Power BI, data analysis, and stakeholder management. Use keywords from the job description.

• Prepare Your Portfolio: Curate 2-3 impactful projects that showcase your data analysis, visualization, and strategic insight generation capabilities. Quantify results and be ready to present them clearly.

• Research AB InBev Growth Group: Understand their digital products (BEES, Ze Delivery, TaDa Delivery), their market position, and their stated goals for digital transformation.

• Practice Technical Skills: Brush up on SQL query writing, Power BI dashboard design principles, and statistical concepts. Be prepared for a technical assessment.

• Anticipate Behavioral Questions: Prepare STAR method (Situation, Task, Action, Result) responses for common behavioral questions related to problem-solving, teamwork, and leadership.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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