Mid-Senior Data Analyst - Prague, CZ
#Ownership
At AB InBev, dreaming big is what we do. Brewing the world's most loved beers, building iconic brands like Corona, Stella Artois, Samson and crafting meaningful moments are what inspire us.
Brewing the world's most loved beers and building brands consumers love, AB InBev is where ownership, ambition, and action thrive. We empower you to dream big, lead change, and create a long-lasting legacy. We value relentless problem-solvers who take accountability, embrace challenges, and turn bold goals into results through resilience and hard work.
That's Who We Are: Come and OWN IT.
What's in it for you:
Benefits for you and your family to help your physical and mental health
Competitive parental leave and pension contributions (2,5%)
25 days holidays per year
Employee benefits to help your physical and mental health and overall wellbeing (Accident, Health and Luggage insurance, discounted services like HP Market, Multisport Card, GS Pharmaceuticals, etc.)
A beer allowance to enjoy our brands
Meal vouchers
Employee networks to support diversity and inclusion
Global Bonus
26 weeks paid leave for mothers
In this Mid-Senior Data Analyst role, you will be supporting the company's Logistics team performance by providing operational and financial insights. You will drive analysis on main KPIs through the use of analytics and BI tools and drive automation of reporting activities within Logistics and support with data sources for upcoming projects.
What will you be doing:
Provide data-driven insights to improve logistics performance across Zone Europe, with a focus on cost, efficiency, and service levels.
Monitor and analyze logistics data to identify trends, bottlenecks, and operational risks across transport, warehousing, and network flows.
Develop, maintain, and standardize dashboards and reporting tools to enhance visibility and transparency across the logistics network.
Support key logistics initiatives and system developments by delivering analytical input and ensuring alignment across local markets and BSC Prague.
Analyze logistics performance data to identify trends, inefficiencies, and opportunities across transport, warehousing, and network flows.
Develop and maintain standardized reports and dashboards to support operational visibility and strategic decision-making.
Collaborate with cross-functional teams (e.g. Logistics, Planning, Finance, and BSC Prague) to deliver data solutions that align with business needs.
Support the development and rollout of analytics tools, ensuring consistency and scalability across countries.
Contribute to logistics projects by providing analytical input, scenario modeling, and post-implementation performance reviews.
Ensure data quality and consistency across systems, supporting the integration of new data sources and business applications.
What you will bring:
Fluent in English
Proven experience in BI/data analysis.
Advanced proficiency (1 – 2 years) in SQL for data querying and manipulation
1 year minimum in Python/Java or other automation-scripting languages for data analytics and project automation
Advance MS Office – Excel for data manipulation and analysis
Understanding of how ETL and DWH processes work – Good to have experience in AzureOps or AWS
Familiarity with data visualization tools such as Power BI (minimum 1 year) – for data modeling, advanced visualization, data transformation, integration with data sources.
Excellent communication and collaboration skills.
Build your career with us
We recruit for mindset, ambition, cultural fit, and growth opportunities.
UNIQUE CULTURE
We are proud to be part of something bigger than ourselves and are passionate about building upon our company's long legacy. We believe in collaboration and candor, which results in a dynamic culture with open communication.
BRANDS EVERYONE LOVES
We are part of the collective, global history of beer. We are the proud makers of more than 500 iconic brands, from beloved international classics to local favorites.
GROWTH OPPORTUNITIES
Our people grow at the pace of their talent. We empower our people to learn, expand their perspectives, and unlock career growth. In an environment where commitment to excellence pays off, our people are able to deepen their impact and create a long-lasting legacy.
#LI-ABI ZoneEUR
What you will bring:
Fluent in English
Proven experience in BI/data analysis.
Advanced proficiency (1 – 2 years) in SQL for data querying and manipulation
1 year minimum in Python/Java or other automation-scripting languages for data analytics and project automation
Advance MS Office – Excel for data manipulation and analysis
Understanding of how ETL and DWH processes work – Good to have experience in AzureOps or AWS
Familiarity with data visualization tools such as Power BI (minimum 1 year) – for data modeling, advanced visualization, data transformation, integration with data sources.
Excellent communication and collaboration skills.
