Insight & Customer Success Lead β€” Health & Beauty in Oxford

Insight & Customer Success Lead β€” Health & Beauty in Oxford

Oxford Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
NIELSENIQ

At a Glance

  • Tasks: Lead a team to deliver actionable insights in Health and Beauty.
  • Company: NIQ, a leader in analytics and insights.
  • Benefits: Competitive salary, career growth, and a dynamic work environment.
  • Other info: Collaborate with senior stakeholders and identify new revenue opportunities.
  • Why this job: Make a real impact by driving client success and innovation.
  • Qualifications: 4+ years in analytics and 2 years in team management.

The predicted salary is between 45000 - 55000 Β£ per year.

NIQ is seeking a Customer Success Insight Manager in the United Kingdom to lead a team of analysts delivering actionable insights across Health and Beauty and other datasets.

You will drive high-quality insight delivery, adoption of onsite and AI goals, and maximize value for clients.

With 4+ years in insight/analytics and 2 years of team management, you will lead dependencies with senior stakeholders, manage projects end-to-end, and identify revenue opportunities for NIQ products and services.

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Insight & Customer Success Lead β€” Health & Beauty in Oxford employer: NIELSENIQ

NielsenIQ in Oxford is an exceptional employer, offering a dynamic work culture that prioritises flexibility and professional growth. As a Junior Insight Analyst, you'll have the unique opportunity to collaborate with industry giants like P&G and Coca-Cola, while receiving comprehensive training to enhance your analytical skills and client engagement. With a strong focus on data-driven decision making, NielsenIQ fosters an environment where your contributions are valued and your career can flourish.

NIELSENIQ

Contact Details:

NIELSENIQ Recruitment Team

We think you need these skills to ace Insight & Customer Success Lead β€” Health & Beauty in Oxford

Insight Delivery
Team Management
Stakeholder Engagement
Project Management
Data Analysis
Client Relationship Management
Revenue Opportunity Identification