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Analytics Consultant
Job Posted: 6 hours ago
Salary: £ 70,000 - 74,000 / Annum
Job Type: Contract
Location: London
Expire in: a month
Job Description
Duration - April 2026
As an Analytical Consultant in Large Customer Sales, you will serve as a strategic advisor, providing valuable insights to clients and agencies to help grow their businesses. Using your critical thinking, problem-solving, and communication skills, you will influence informed decision-making with our most advanced customers.
Key Responsibilities:
Leverage advanced data analytics to develop solutions and uncover opportunities that address clients' business and marketing challenges, driving long-term growth and customer satisfaction.
Advise client partners on best practices for marketing and media analytics, data integration, and customer segmentation.
Implement best-in-class measurement solutions and guide customers through industry standards and alternative approaches.
Build and present data-driven business and media solutions to customers, based on industry trends and consumer insights.
Cultivate relationships with marketing analytics counterparts, earning their trust and influencing key decisions.
Collaborate with internal and external teams (product, research, data, and measurement) to deliver comprehensive analytical and measurement capabilities to customers.
Minimum Qualifications:
Bachelor's degree or equivalent practical experience.
Proven experience in an analytical, research, or project management role, working with data to identify and communicate trends.
Experience in digital marketing.
Preferred Qualifications:
Expertise in analyzing customer and market data to generate actionable insights and drive business objectives.
Ability to create and deliver impactful presentations to both executive and operational teams.
Strong ability to manage relationships with internal and external stakeholders.
Knowledge of marketing analytics, return on investment (ROI), financial modeling, and statistical analysis.
Proficiency in working with databases, SQL, and data visualization toolsBefore You Apply
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