Analytics Consultant - #1703621

Morgan McKinley (South West)


Date: 4 hours ago
City: London
Salary: £70,000 - £74,000 / year
Contract type: Contractor
Work schedule: Full day
Morgan McKinley (South West)

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 tools.

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