Position Overview

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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.
The Senior Business Analyst, Data & Analytics Product is the bridge between the business and our Data Engineering team. You will develop a deep understanding of the decisions our users make and the questions they need data to answer, assess those needs against the data available today, and translate them into a prioritized roadmap and clear requirements that Data Engineering can deliver against.
This role combines the analytical rigor of a business analyst with the accountability of a product manager. You will not be expected to build pipelines or data models yourself, but you will need to understand analytical data structures well enough to engage credibly with engineers, identify gaps and make informed trade-offs. You will own the roadmap, drive prioritization based on customer and business value, and ensure the team executes against the plan.
Key Responsibilities

Business Needs Discovery and Analysis

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
Data Landscape and Gap Assessment

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
Roadmap Ownership and Prioritization

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
Requirements Definition

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
Delivery Oversight and Stakeholder Management

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
Decision rights: This role owns what the business needs and the order in which it is delivered. Data Engineering owns how solutions are designed and built.
Qualifications

Required

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
About Baxter Planning

Founded in 1993 and headquartered in Austin, Texas, Baxter Planning is a dynamic and rapidly growing company building BaxterPredict, a decision‐intelligence platform for service supply chains. General enterprises in high‐tech, medical devices and industrial equipment use our BaxterProphet planning and BaxterLynX execution products to keep critical equipment running while balancing service levels, inventory and cost. We're backed by Marlin Equity Partners and are rebuilding our platform for an AI‐first future.
Baxter Planning combines the flexibility of a start up with the stability of an established company, leveraging 31 years of industry expertise to support a rapidly growing customer base. 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. xqysrnh
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📌 Senior business analyst, data & analytics product- hybrid (Barcelona)
🏢 Baxter Planning
📍 Barcelona