Senior Data & AI Advisory Consultant (Hybrid)

OpenSky Data Systems; Naas; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Incremental increases in annual leave

Continuous Professional Development

Education Assistance Programme

Employee Assistance Programme (EAP)

Job summary

OpenSky Data Systems in Naas is seeking a Senior Data Intelligence Consultant for a full-time hybrid role. You will work in our Data Intelligence Practice with clients across public sector, healthcare, and pharma, translating business needs into practical data-driven deliverables.

You will engage with clients, gather requirements, define KPIs, produce Power BI reporting, and explore AI opportunities, while developing both business and technical depth.

Qualifications

• 5+ years in a business-facing role with proven delivery
• Strong numerical reasoning and evidence-based decision making
• Ability to translate business needs into actionable requirements
• Experience in elicitation, workshops and documentation for delivery teams
• Credibility with senior stakeholders and ability to manage multiple engagements

Responsibilities

• Lead client engagements as main point of contact
• Understand client business, operating model and terminology
• Run workshops to elicit requirements and co-develop solutions
• Define KPIs, SLAs and benchmarks relevant to the client
• Bridge business needs with engineering and analytics teams
• Shape Power BI reporting and validate data insights
• Identify AI opportunities and advise on governance and risk
• Contribute to proposals, bids and client presentations

Skills

Power BI

Data analytics

Client engagement

Stakeholder management

AI concepts

Education

Bachelor's degree in business/analytical/tech

Tools

Microsoft Fabric

Power BI

SQL

Job description

OpenSky Data Systems in Naas is seeking a Senior Data Intelligence Consultant for a full-time hybrid role. You will work in our Data Intelligence Practice with clients across public sector, healthcare, and pharma, translating business needs into practical data-driven deliverables.

You will engage with clients, gather requirements, define KPIs, produce Power BI reporting, and explore AI opportunities, while developing both business and technical depth.