puestos de Utilities en United States

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Client: Graduate Recruitment Bureau

Location: Brighton, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: bb5841e60c30

Job Views: 8

Posted: 22.06.2025

Expiry Date: 06.08.2025

A global consultancy heavily invested in digital innovation, with a successful analytics and AI division.

You will work across sectors, engaging with clients in financial services, healthcare, government, energy/utilities, and consumer products, including brands like IKEA, Virgin, Lego, Vodafone, Unilever, Lloyds, and the Ministry of Justice.

The company is committed to sustainability, participating in WEF's "Trillion Trees Movement," aiming to plant 20 million trees, switch to renewable energy, and transition to electric vehicles. They believe data can drive a better world, using AI and analytics to help clients improve sustainability and combat climate change.

Recognized as one of Ethisphere's "World's Most Ethical Companies" for nine consecutive years, they set a benchmark in ethical behavior.

Within the Digital & Customer Analytics team, you will collaborate with industry leaders, deliver presentations, and work under tight deadlines.

Your responsibilities may include:

• Using data analytics and modeling to assess marketing impact and optimize revenue, margins, and costs.
• Evaluating promotional activities, advertising campaigns, and sales strategies through data analysis and statistical modeling.
• Analyzing pricing data with industry standards and competitive insights.

You will use various data visualization tools, programming languages, and cloud technologies daily, depending on client needs.

This is a senior-level position suitable for analytics professionals with approximately 4+ years of relevant experience, though applications are reviewed case-by-case.

Valuable experiences include:

• Analysis and measurement of product and promotion performance.
• Marketing campaign measurement and optimization.
• Statistical modeling such as regression, price elasticity, and advanced machine learning.
• Customer insight analysis, ROI optimization, and product analytics.

Additional requirements:

• A degree in mathematics, STEM, or a supply chain-related field.
• Proven success in a matrixed organization.