Data Modeler
About the job
- At least 6 years of experience.
- Solid experience in analytical and corporate data modeling.
- Practical experience designing conceptual, logical, and physical models.
- Command of the Kimball methodology and dimensional modeling.
- Experience working with facts, dimensions, granularity, and conformed dimensions.
- Experience designing reusable business semantic layers.
- Experience working with cloud platforms.
- Experience with Databricks.
- Ability to transform business requirements into technically consistent data models.
- Ability to work within previously defined corporate architectures and standards.
- Fluent Spanish.
- Ability to work autonomously and rigorously within a newly formed team.
- Ability to communicate with technical and business profiles.
- Ability to negotiate and manage expectations and priorities.
- Analytical and structured thinking.
- Autonomy in making decisions related to data modeling.
- Design and maintain conceptual, logical, and physical data models.
- Design dimensional models following the Kimball methodology.
- Correctly define facts, dimensions, granularity, and conformed dimensions.
- Design structures oriented toward information analysis and exploitation.
- Create and maintain reusable business semantic layers.
- Translate functional requirements and business needs into data models.
- Ensure that designed models are aligned with the client's defined corporate architecture.
- Collaborate with Data Engineering, Architecture, Analytics, and Business teams.
- Participate in defining and evolving data modeling standards and best practices.
- Analyze needs, dependencies, and impacts resulting from changes to information models.
- Facilitate understanding between the business's functional needs and their implementation within the data ecosystem.
About the company
Winning Consulting uses a scientific management approach to diagnose business challenges and drive value across Strategy & Innovation, Benefits & ROI, Project Management, Operations, Digital, Hyperautomation, Training, Recruitment & Selection, and Incentives. Its methods rely on data-driven analysis and structured processes inspired by Taylor to identify value gaps and design programs that improve performance and ROI. It differentiates itself through a rigorous, science-based methodology, its international footprint across Europe and Australia, and its backing by the Alan Allman Associates network for cross-firm collaboration. Its goal is to help organizations raise performance, create measurable value, and sustain reliable operations through disciplined, tech-enabled transformations.
Company Size
201-500
Company Stage
N/A
Total Funding
N/A
Headquarters
Lisbon, Portugal
Founded
N/A
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Simplify's Take
What believers are saying
- Winning still lists 201-500 employees and four offices, preserving delivery capacity.
- LinkedIn shows Madrid and Sydney locations, supporting international client expansion.
- Alan Allman still keeps a WINNING brand page, suggesting continued investment in Iberia.
What critics are saying
- Alan Allman reported Q1 2026 revenue down 9.4%, squeezing WINNING headcount budgets.
- WINNING shows very low activity online, signaling slower demand and weaker hiring momentum.
- If Alan Allman integration stalls, WINNING loses autonomy, brand focus, and cross-border deal control.
What makes Winning unique
- WINNING built scientific-management consulting after 2012 and serves 350-plus clients.
- Alan Allman added WINNING in 2023, expanding Iberia reach across Portugal and Spain.
- WINNING combines management consulting with digital execution partnerships like Microsoft, UiPath, and Celonis.
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Benefits
Hybrid Work Options
Company News
With the acquisition of WINNING Consulting, Alan Allman Associates further develops their Management Consulting capabilities, reinforces its strategy of strong hyper-specialized brands and expands its reach across Iberia including Portugal and Spain.