To a Future With More Cheers
Senior Data Analyst
Location
Brazil
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Analyst
AB InBev
• Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python. • Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions. • Transform data into actionable insights that support strategic business decisions. • Apply statistical and analytical techniques to identify trends, opportunities, and business impacts. • Perform exploratory analysis, ad hoc studies, and support experimentation initiatives. • Partner with Product, Commercial and Technology teams to solve business problems through data. • Ensure data quality, consistency, governance, and reliability across analytical products. • Follow software engineering best practices, including Git-based development, version control, testing, and CI/CD processes. • Communicate insights through effective data storytelling, visualizations, and executive presentations.
Job Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
- Proven experience in Data Analytics, Business Intelligence, or related fields.
- Advanced SQL skills for data extraction, transformation, and analysis.
- Strong Power BI expertise, including dashboard development, DAX, data modeling, visualization best practices, and user experience design.
- Experience with Azure Databricks, SparkSQL, PySpark, and modern cloud-based analytics platforms.
- Proficiency in Python for data analysis and analytical solution development.
- Experience with Git, version control workflows, and CI/CD practices.
- Understanding of statistics, experimentation, hypothesis testing, and analytical problem-solving.
- Strong communication, stakeholder management, and data storytelling skills.
- Fluent English (written and spoken). Spanish is a plus.
Benefits
- 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
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• The Manager, Reporting Analytics is a senior hands-on individual contributor responsible for producing SQL-based reporting and business intelligence dashboards that support ACO performance, quality measure tracking, cost trend analysis, and risk adjustment and stratification. • Build and maintain SQL-based reporting and business intelligence dashboards for risk stratification, patient attribution, quality measure performance, cost trend analysis, ACO benchmarking, and risk adjustment and stratification • Manage multiple concurrent reporting projects across healthcare and clinical data, ensuring accuracy and timely delivery • Maintain documentation and quality standards for own analytical outputs and support the team in developing documentation and quality standards • Triage inbound reporting requests and reframe them into clear, prioritized deliverables • Validate reporting logic against business context before delivery • Act as a reliable point of contact for Product, Finance, and clinical stakeholders on reporting needs • Communicate findings clearly to varied audiences, using data visualization where helpful • Partner with peers and product owners to design effective reporting solutions.
• Analyze key metrics, identify opportunities and develop reporting and dashboards to inform Partner priorities and organizational needs • Apply in-depth knowledge of analytical techniques to identify patterns, trends, and correlations in large datasets to understand patient populations, healthcare utilization, cost drivers, quality performance, and risk adjustment • Use requirements to develop dashboards aligned with the stakeholder needs, roadmap, and organizational goals • Serve as an analytics SME in collaboration with cross-functional teams, including Product, Finance, Partner Success, and Operations • Be comfortable adapting to different databases and technology platforms, with a strong desire to continuously learn new skills
• Manage, coach, and develop direct reports — set goals, conduct 1:1s, and own performance reviews • Prioritize and assign team workload across concurrent reporting requests • Build and maintain SQL-based reporting for risk stratification, patient attribution, quality measure performance, cost trend analysis, and ACO benchmarking • Oversee multiple concurrent reporting projects across healthcare and clinical data, ensuring analytical rigor and timely delivery • Act as a trusted point of contact for Product, Finance, and clinical leaders — clarifying reporting needs and turning ambiguous requests into clear deliverables • Communicate findings clearly to a range of audiences, using data visualization where helpful
Role Description Looking for an accomplished Delivery Manager to lead the delivery of large-scale Data & Analytics initiatives for one of the leading banking institutions in Saudi Arabia. This is a leadership role suited for professionals who have successfully managed enterprise-wide data transformation programs, large delivery teams, and senior business stakeholders within the Banking and Financial Services sector. The successful candidate will be responsible for ensuring the timely, high-quality delivery of multiple strategic data initiatives while managing cross-functional teams comprising Data Engineers, Data Architects, BI Specialists, Data Scientists, QA Engineers, and Project Managers. Key Responsibilities - Own the end-to-end delivery of multiple Data & Analytics programs. - Drive execution across Data Engineering, Data Warehousing, Data Governance, Data Science, AI/ML, Business Intelligence, Reporting, and Analytics initiatives. - Ensure projects are delivered on time, within scope, budget, and quality expectations. - Establish delivery governance frameworks and reporting mechanisms. Stakeholder Management - Partner with senior banking stakeholders, business leaders, technology teams, and executive management. - Provide regular project health updates, risk assessments, and executive dashboards. - Manage stakeholder expectations and ensure alignment between business objectives and delivery outcomes. Team Leadership - Lead and mentor large delivery teams of 60–70 professionals. - Foster a culture of accountability, collaboration, innovation, and continuous improvement. - Manage resource planning, utilization, capacity forecasting, and delivery performance. Program Governance - Establish project controls, delivery standards, and best practices. - Monitor project risks, dependencies, issues, and mitigation plans. - Drive Agile, Scrum, and Hybrid delivery methodologies where appropriate. - Ensure compliance with banking, security, regulatory, and audit requirements. Operational Excellence - Define and monitor delivery KPIs and service metrics. - Drive continuous improvement initiatives across delivery processes. - Ensure high levels of customer satisfaction and business value realization. Qualifications - 15–20 years of overall IT experience. - Minimum 8 years of experience in Delivery Management, Program Management, or Portfolio Management roles. - Proven track record of managing large-scale Data & Analytics programs within Banking or Financial Services organizations. - Experience leading teams of 60+ members across multiple projects and workstreams. - Strong understanding of: - Data Engineering - Data Warehousing - Data Lakes - Data Governance - Data Quality - Business Intelligence & Reporting - Advanced Analytics - Data Science & AI/ML - Experience managing distributed delivery teams and multiple concurrent projects. - Strong expertise in project governance, stakeholder management, risk management, and delivery planning. - Excellent communication and leadership skills. Preferred Qualifications - Experience working with banks or financial institutions in the Middle East/GCC region. - Exposure to modern cloud-based data platforms and enterprise data architectures. - Knowledge of regulatory and compliance requirements within the banking industry. - Experience working in multicultural and geographically distributed environments.

