Описание: Baxter Planning has made a significant investment in a modern data platform, built on a layered (medallion) data lake and dimensional data models. The next step is to ensure that platform delivers measurable value to the people who rely on it: our customers' planners and supply chain leaders, our internal planning teams and the product teams building on our data.
Задачи:
- Partner with internal planners, customers, Customer Success, Professional Services and other stakeholders to understand the business decisions they make and the analysis required to support them
- Conduct structured interviews, workshops and workflow observation to document user personas, their analytical needs, frequency of use, required level of detail and intended outcomes
- Distinguish between customer-specific report requests and repeatable needs that should be addressed in the core product, and recommend the appropriate path for each
- Synthesize findings into clear problem statements and use cases that inform prioritization
- Develop a working knowledge of Baxter Planning's data lake, dimensional models and source product data, including available subject areas, grain, historical depth and data freshness
- Map business requirements to available data assets, identify gaps and assess the effort and value of closing them
- Establish and maintain a governed set of business metric definitions (e.g., fill rate, part availability, inventory position, forecast accuracy) to ensure consistency across analytics, reporting and AI capabilities
- Validate that data structures support priority use cases, raising issues related to grain, history, completeness or consistency with Data Engineering
- Own the data and analytics roadmap, prioritizing initiatives based on customer value, business impact, strategic alignment and delivery effort
- Maintain a transparent prioritization framework and communicate the rationale behind roadmap decisions to stakeholders at all levels
- Manage competing requests from customers and internal teams, making and defending trade-off decisions in partnership with Product leadership
- Align the roadmap with broader product strategy and the needs of other product teams that depend on shared data
- Translate business needs into detailed, testable requirements for Data Engineering, specifying the business questions to be answered, required data elements, level of detail, history, refresh frequency and acceptance criteria
- Define data quality expectations, including completeness, accuracy, timeliness and reconciliation to source systems
- Maintain a well-groomed, prioritized backlog with clearly defined epics and user stories
- Partner closely with Data Engineering to plan work, track progress and resolve blockers, ensuring delivery remains aligned to roadmap priorities
- Review delivered capabilities against requirements and coordinate user acceptance testing before release
- Provide regular status updates to Product leadership and key stakeholders, escalating risks and dependencies early
- Measure the adoption and business impact of delivered analytics and use those insights to refine the roadmap
Требования:
- 5+ years of experience as a business analyst, analytics consultant, BI lead or in a comparable role, working directly with business stakeholders to define data, reporting and analytics requirements
- Robust understanding of analytical data architecture, including dimensional modeling (star schemas, fact and dimension tables, grain) and layered data lake architecture (e.g., bronze, silver and gold layers), with the ability to engage in and challenge technical design discussions
- Demonstrated experience eliciting requirements from diverse stakeholders and translating them into clear, prioritized plans
- Experience owning a roadmap or backlog and driving execution with a technical delivery team
- Strong prioritization skills, with the ability to evaluate initiatives based on business value and customer impact and to communicate trade-offs clearly
- Working proficiency in SQL or BI tools sufficient to explore data, validate availability and confirm that data supports a given requirement
- Excellent written and verbal communication skills, with the ability to explain technical concepts to business audiences and business needs to technical teams
- Regular, hands‑on use of AI tools in day‑to‑day work (e.g., research synthesis, requirements drafting, data exploration); our product organization is AI‑first and this role is expected to model that way of working
- Bachelor's degree in Business, Engineering, Analytics, Information Systems or a related field
- Professional fluency in English
Условия:
We offer excellent benefits, an exciting and supportive work environment, and excellent work-life balance. This role will be based in our Barcelona office with the flexibility to work from home 1-2 days per week. Employer is unable to sponsor visas for this position