Job Description

Power BI & Analytics Consultant

Core29 | Supporting Peterson Energy Logistics

Location: Aberdeen, Scotland (Office Based)

Type: Full-Time

About the Role

Core29 is seeking a Power BI & Analytics Consultant to support the delivery of business intelligence and analytics solutions for Peterson Energy Logistics.

Working as part of a growing data and analytics team, you will design and develop interactive dashboards, reporting solutions and semantic models using Microsoft Power BI, Fabric and Azure technologies. You will work closely with business stakeholders to transform data into meaningful insights that improve operational and commercial performance across a global organisation.

This role combines technical expertise with stakeholder engagement and offers an excellent opportunity to build a career in modern data and analytics technologies.

Key Responsibilities

1. Analytics & Reporting

· Develop and maintain Power BI reports, dashboards and scorecards.

· Create and optimise semantic models, datasets and data visualisations.

· Translate business requirements into insightful and user-friendly reporting solutions.

· Ensure reporting accuracy, performance and usability.

1. Stakeholder Engagement

• Work directly with business users to understand analytical requirements.
• Facilitate workshops and gather reporting needs.
• Promote data-driven decision-making and self-service analytics.
• Support user adoption and training activities.

1. Data & Platform Support

• Collaborate with Data Engineers to deliver end-to-end analytics solutions.
• Support data modelling, governance and reporting standards.
• Contribute to continuous improvement of the enterprise analytics platform.

Skills & Experience

Essential

• 3+ years' experience in Power BI, Business Intelligence, Analytics or a related field.
• Strong Power BI development experience, including DAX and Power Query.
• Strong SQL skills.
• Understanding of current data modelling and reporting best practice.
• Experience gathering requirements and engaging with stakeholders.
• Strong analytical, problem-solving and communication skills.

Desirable

• Experience with Microsoft Fabric.
• Exposure to Azure Data Services.
• Experience building enterprise semantic models.
• Knowledge of data governance and data quality practices.
• Experience within logistics, supply chain, energy or industrial sectors.
• Familiarity with Python, Power Platform or AI-enabled analytics.

Education & Certifications

Preferred

Bachelor's degree in:

• Computer Science; Data Science; Business Analytics; Information Systems; Engineering; Mathematics; Statistics

Desirable

• Master's degree in a relevant discipline.
• Microsoft certifications, including PL-300 (Power BI Data Analyst); DP-900 (Azure Data Fundamentals); DP-203 (Azure Data Engineer Associate); DP-600 (Fabric Analytics Engineer Associate)

What We're Looking For

We're seeking an ambitious, commercially focused individual, with approximately 3+ years' experience, who can combine technical capability with strong stakeholder engagement. You should be

· Passionate about turning complex data into actionable insights

· Confident taking ownership and delivering high-quality outcomes.

• Keen to develop expertise across Microsoft Data & AI technologies.
• Can communicate effectively with technical and non-technical stakeholders

Working Model

This is a predominantly office-based role located in Aberdeen.

Applicants must:

• Reside in the UK or be willing to relocate before commencing employment.
• Have the legal right to work in the UK, with no restrictions that would prevent them from undertaking this role.
• Be able to attend the office regularly and engage directly with colleagues and stakeholders.

Why Join Core29?

You'll work with modern Microsoft technologies, experienced consultants and a globally recognised logistics organisation. This role offers exposure to Microsoft Fabric, Power BI, Azure and enterprise-scale analytics initiatives, with clear opportunities to progress into senior analytics, consulting or data leadership positions.