BI Consultant

Mission Overview:

As a Keystone Solutions consultant, you will be engaged on a consultancy mission at the client, serving as the interface between business stakeholders and data teams. You will help identify opportunities to leverage data and transform business needs into analyses, indicators, and visualizations that inform decision-making across Grid, Finance, and Logistics domains.

Consultancy Model at Keystone Solutions:

This is a consultancy role where you will work on site at the client as a Keystone Solutions consultant. You will collaborate closely with client stakeholders while being supported by Keystone Solutions' consulting community, methods, and best practices. The successful candidate will deliver all responsibilities and requirements below under Keystone Solutions' consultancy model.

Key Responsibilities:

• Understand business processes and challenges in the Grid, Finance, and Logistics domains.
• Gather, analyze, and challenge user needs.
• Translate business problems into relevant data analyses and concrete recommendations.
• Develop and evolve business-facing reports and dashboards.
• Design clear, intuitive, user-oriented visualizations applying data storytelling and information design principles.
• Support users in interpreting results and adopting proposed solutions.
• Contribute to Data Office initiatives in Data Governance, Data Quality, and Data Products.
• Promote a data-driven culture within the company.

Data & Innovation Focus:

We seek a curious, innovation-minded profile who follows market evolutions in data and analytics and shows strong interest in:

• Modern data management approaches such as Data Products and Data Mesh.
• Data Governance and Data Quality practices.
• Generative and analytical AI, and its opportunities to improve productivity, accelerate data analysis, and stimulate creativity in business activities.

Required Skills and Experience:

• Significant experience in data analysis and business partnering.
• At least one significant experience in the energy sector, enabling rapid understanding of domain-specific challenges and processes.
• Demonstrated ability to translate business needs into high-value analytical and decision-support solutions.
• Significant experience in a data environment such as a Data Warehouse, Data Platform, or equivalent analytical platform.
• Excellent understanding of data modeling, integration, and value creation concepts.
• Mastery of SQL is essential.
• Ability to analyze complex data and extract actionable insights for the business.
• Significant experience with Microsoft Power BI.
• Mastery in designing business-oriented reports and dashboards.
• Good understanding of data visualization, usability, and storytelling principles.
• Experience with SAS Visual Analytics is an asset.
• An official Microsoft Power BI certification is an advantage.
• Fluent proficiency in French or Dutch.
• Good understanding of the second national language.
• Ability to work effectively in a bilingual environment.
• You combine strong analytical skills with a solid understanding of operational business realities. You can engage with diverse stakeholders, understand their challenges, and transform data into useful, actionable information.
• Curious, autonomous, and results-oriented, you are committed to creating value from data and actively contributing to the client's data transformation.

Competencies (Must/Should Have as stated):

• Has at least one significant experience in developing analytical dashboards and reports with Power BI and/or SAS Visual Analytics. Must have: Yes
• Has significant experience in data analysis and manipulation within a Data Warehouse, Data Platform, or equivalent analytical environment. Must have: Yes
• Demonstrable experience with reporting tools. Must have: Yes
• Demonstrable experience in data management (ETL). Must have: Yes
• Demonstrable experience as a BI Consultant. Must have: 3 years; Level: Medior
• During the interview, demonstrates strong analytical capabilities and understanding of business needs, able to rephrase and translate user requirements into concrete, relevant data solutions. Must have: Yes
• During the interview, demonstrates the ability to manage end-to-end dashboard development, from requirements gathering to production deployment and user support. Must have: Yes
• During the interview, demonstrates the ability to present complex analyses clearly, visually, and suited to a business audience. Must have: Yes
• During the interview, demonstrates the ability to project into future evolutions of data management and understand modern concepts such as Data Products, Data Mesh, Data Platform,