Senior Business Analyst (Data & Analytics)

About hubQuest 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. This is a Business Analyst role with a strong delivery coordination component. Beyond defining requirements and working closely with data teams, the person in this role will help manage timelines, dependencies, delivery risks, and stakeholder alignment across multiple OpCos, regions, and business functions. 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, technology, and delivery coordination, 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. You will also help drive delivery clarity in a complex global environment by managing expectations, tracking dependencies, identifying risks early, and ensuring that business, OpCo, and technical stakeholders stay aligned throughout the delivery lifecycle. What You Will Be Responsible For • 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. • Delivery coordination, timelines & dependencies Support delivery planning by helping manage timelines, milestones, dependencies, and sequencing of work across data engineering teams, OpCos, and business stakeholders. • Risk and issue management across stakeholders Proactively identify delivery risks, data readiness issues, dependency gaps, and stakeholder misalignments, helping teams make informed decisions and unblock progress. • 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, standardisation, timelines, and business impact across multiple regions and source systems. • Agile delivery & coordination Contribute to backlog ownership, sprint planning, delivery tracking, and coordination within agile squads focused on data platform development. • Stakeholder and OpCo alignment Work closely with global stakeholders, local OpCos, business representatives, and technical teams to ensure shared understanding of scope, priorities, timelines, risks, and expected outcomes. • 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, dependencies, decisions, risks, and delivery assumptions 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, data pipeline design, stakeholder communication, and delivery discipline. How You Work You are comfortable working in environments with: • High data complexity and multiple source systems • Ambiguity in early stages of data platform initiatives • Global stakeholders with differing data maturity levels • Multiple OpCos, regions, and business functions involved in a single delivery stream • Complex dependencies between business readiness, data availability, engineering work, and platform constraints You naturally apply an agile mindset, focusing on value, pragmatism, and continuous improvement, while keeping a strong eye on long-term architectural integrity. You are structured and proactive in the way you manage work. You can bring clarity to ambiguous situations, keep stakeholders aligned, surface risks early, and help teams move from discussion to decision and delivery. What We’re Looking For Must-have: • 5+ years of experience as a Business Analyst in data platform, data engineering, or analytics foundation initiatives • Proven experience working with enterprise-scale data pipelines and datasets • Strong ability to collaborate with Data Engineers and understand technical trade-offs • Excellent stakeholder management and communication skills • Experience coordinating work across multiple business and technical stakeholders • Ability to manage timelines, dependencies, risks, and delivery expectations in complex environments • Ability to explain complex data, platform, and delivery topics to non-technical audiences • Hands-on experience with SQL and Excel for data validation and exploration • Experience working in Agile delivery environments • Fluent English Nice to have: • Experience in FMCG or similarly complex, data-intensive industries • Experience working with multiple markets, regions, OpCos, or distributed stakeholder groups • Exposure to cloud-based data platforms, e.g. Azure, AWS, GCP • Understanding of data governance, lineage, and master data concepts • Familiarity with data modelling approaches, e.g. dimensional, domain-oriented, canonical models • Exposure to Python or data orchestration tools • Experience contributing to cross-domain data standardisation initiatives • Previous exposure to project management, delivery management, or PM/BA hybrid responsibilities What We Offer • Participation in high-impact data platform initiatives forming the backbone for analytics and advanced use cases • Work within a global, diverse data organisation, collaborating with senior data professionals across regions • A non-corporate, low-bureaucracy culture focused on ownership and outcomes • Strong support for continuous development, including online learning, knowledge exchange, and partial funding of certifications 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. Please add to your CV the following clause: " I hereby agree to the processing of my personal data included in my job offer by hubQuest spółka z ograniczoną odpowiedzialnością located in Warsaw for the purpose of the current recruitment process.” If you want to be considered in the future recruitment processes please add the following statement: " I also agree to the processing of my personal data for the purpose of future recruitment processes.”