Consultant, Data Analyst, IT​/Tech

Position: Consultant (Permanent)
Consultant – Consulting Delivery (Technology Innovation & Strategy)

Location:

London - able to align with UK timezone (+/- ~3 hours)

Salary:
Competitive

Why join Global Data?

Global Data is a leading intelligence platform for the world’s largest industries. We empower organizations and individuals to make better decisions with trusted intelligence that decodes the future of a dynamic world. Using the advantage of one platform, we combine the collective power of unique data, expert analysis and innovative solutions to provide trusted intelligence on a global scale.

Headquartered in London, with offices across the UK, US, Dubai, India and Australia, Global Data serves a worldwide customer base with progressive solutions of the highest quality.

Your key responsibilities will include:

This role requires strong quantitative and analytical capability, combined with a consulting mindset, to translate complex data into a decision-oriented client insights.

Project Delivery:

Primarily deliver consulting engagements, translating Global Data research and analysis into clear, decision-oriented insights for clients.

Execute multiple work streams, supporting timelines, dependencies, risk management, and quality standards.

Support the Engagement Manager and Senior Consultants in structuring project plans, milestones, and delivery schedules.

Ensure assigned outputs are delivered on time, within scope, and to agreed quality standards.

Review outputs to ensure consistency, accuracy, and clarity and clear linkage between analysis and client objectives before client delivery.

Apply structured consulting frameworks and judgement to translate qualitative and quantitative inputs into coherent, client-relevant implications, conclusions, and actionable recommendations.

Client Relationship Management:

Support Consulting Directors, Engagement Managers and Senior Consultants in maintaining client satisfaction through reliable, value-added delivery and regular client communication.

Participate in client interactions to present insights, project findings, respond to questions, and refine outputs based on feedback, clearly articulating implications, conclusions, and recommendations.

Contribute to the development of client-ready materials that support decision-making.

Strategic Development:

Support the development of consulting solutions and engagement approaches through research and analysis.

Apply consulting judgement and frameworks to shape structured, decision-oriented client narratives.

Contribute to the development of recommendations aligned to client strategic priorities.

Team Management and Development:

Collaborate closely with colleagues across consulting, research and analysis, sales and customer success.

Seek feedback and coaching from Senior Consultants to develop consulting delivery skills and structured thinking.

Contribute to a collaborative and high-performing consulting team culture.

Innovation and Improvement:

Support initiatives to improve consulting methodologies, tools, and processes.

Stay abreast of industry trends, emerging technologies, and competitive dynamics to ensure Global Data remains at the forefront of market research and consulting.

What we look for:

Quantitative Background:
Degree or equivalent experience in a quantitative discipline such as economics, data science, statistics, mathematics, engineering, or related fields; exceptional candidates with alternative backgrounds must demonstrate strong quantitative proficiency.

Strategic and Analytical Thinking:
Ability to conceptualize and communicate solutions to our clients' business issues. Strong ability to synthesize complex information into clear, client-relevant insights.

Problem-Solving:
Strong problem-solving abilities, with a proactive and solution-oriented approach. Proven ability to address complex client challenges with structured and pragmatic approaches.

Quantitative and Qualitative Analysis:
Strong experience delivering rigorous quantitative analysis using proprietary, primary, and secondary data, including statistical analysis, modelling, and scenario-based approaches, complemented by structured qualitative analysis to draw actionable conclusions.

Deliverable…