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At hubQuest, we build and scale advanced data and analytics hubs for global organizations. We partner with enterprise clients to design, launch, and evolve core data capabilities, enabling scalable analytics, advanced use cases, and data-driven decision-making across regions.
We are currently looking for a Senior Business Analyst (Data & Analytics) to support a global FMCG organization in strengthening its enterprise data foundations. The role focuses on building and evolving standardised, scalable data pipelines and datasets that serve as the backbone for analytics and data products across multiple markets.
Your Impact
As a Senior Business Analyst, you will play a key role in shaping how data flows across the organisation. You will work at the intersection of business processes, data platforms, and technology, ensuring that data pipelines are designed for consistency, scalability, and long-term reuse.
This role goes beyond classic analytics or BI use cases. You will contribute directly to the design and operationalisation of enterprise-level data foundations, enabling downstream analytics, AI, and reporting use cases at scale.
What We Offer
Ready to Shape Enterprise Data Foundations?
If you are driven by building scalable, reliable data foundations and enjoy working at the core of enterprise data ecosystems, we would be happy to hear from you.
Apply now and help build data foundations that power analytics at scale with hubQuest.
What We’re Looking For
Must-have:
Nice to have:
How You Work
You are comfortable working in environments with:
You naturally apply an agile mindset, focusing on value, pragmatism, and continuous improvement, while keeping a strong eye on long-term architectural integrity.
At hubQuest, we build and scale advanced data and analytics hubs for global organizations. We partner with enterprise clients to design, launch, and evolve core data capabilities, enabling scalable analytics, advanced use cases, and data-driven decision-making across regions.
We are currently looking for a Senior Business Analyst (Data & Analytics) to support a global FMCG organization in strengthening its enterprise data foundations. The role focuses on building and evolving standardised, scalable data pipelines and datasets that serve as the backbone for analytics and data products across multiple markets.
Your Impact
As a Senior Business Analyst, you will play a key role in shaping how data flows across the organisation. You will work at the intersection of business processes, data platforms, and technology, ensuring that data pipelines are designed for consistency, scalability, and long-term reuse.
This role goes beyond classic analytics or BI use cases. You will contribute directly to the design and operationalisation of enterprise-level data foundations, enabling downstream analytics, AI, and reporting use cases at scale.
What We Offer
Ready to Shape Enterprise Data Foundations?
If you are driven by building scalable, reliable data foundations and enjoy working at the core of enterprise data ecosystems, we would be happy to hear from you.
Apply now and help build data foundations that power analytics at scale with hubQuest.
,[Business-to-data translation at platform level - partner with business and data stakeholders to understand core processes and translate them into robust, scalable data requirements for enterprise data pipelines., Definition of harmonised data structures - lead the definition of common data concepts, metrics, and logic across markets, balancing global standards with local operational realities., End-to-end ownership of data requirements - own requirements for data ingestion, transformation, validation, and exposure, ensuring clarity, feasibility, and long-term sustainability., Close collaboration with data engineering teams - work hands-on with Data Engineers to shape pipeline logic, data models, quality rules, and dependencies across upstream and downstream systems., Decision-making in complex environments - support prioritisation and trade-off decisions related to data availability, quality, latency, and standardisation across multiple regions and source systems., Agile delivery & coordination - contribute to backlog ownership and delivery planning within agile squads focused on data platform development., Data quality & governance leadership - embed data quality, lineage, and governance considerations into pipeline design, proactively identifying risks and improvement opportunities., Data analysis & validation - perform data exploration and validation using SQL and Excel to ensure correctness, consistency, and business alignment of delivered datasets., Documentation & knowledge sharing - ensure that data flows, definitions, and dependencies are clearly documented and understandable for both technical and non-technical stakeholders., Mentoring & standards - mentor Business and Data Analysts, promoting best practices in platform-focused analysis and data pipeline design. Requirements: Business analysis, Data analytics, SQL, Stakeholder management, Business Analyst, Data pipelines, Communication skills, Data modelling, Data engineering, agile, Cloud platform, data governance, Python Tools: Jira, Confluence, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Training budget, Small teams, International projects, Free coffee, Bike parking, Free beverages, In-house trainings, Modern office, No dress code.