Remote Senior Marketing Analytics & Econometrics Consultant

Remote Senior Marketing Analytics & Econometrics Consultant

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
YunoJuno

At a Glance

  • Tasks: Develop advanced econometric models and provide actionable solutions to clients' business challenges.
  • Company: YunoJuno, a forward-thinking company focused on innovative consulting.
  • Benefits: Fully remote role with flexible hours and competitive contract rates.
  • Other info: 6-month contract with opportunities for future projects.
  • Why this job: Make a real impact by solving complex problems for diverse clients.
  • Qualifications: Experience in econometric modeling and strong communication skills.

The predicted salary is between 50000 - 70000 Β£ per year.

YunoJuno is seeking a Senior Consultant for a contract role focusing on developing advanced econometric models. This position involves working closely with clients to address their complex business challenges with actionable econometric solutions.

The successful candidate will have experience in econometric modeling, excellent communication skills, and the ability to work independently. The role is fully remote and duration is 6 months.

Remote Senior Marketing Analytics & Econometrics Consultant employer: YunoJuno

YunoJuno is an exceptional employer that values innovation and collaboration, offering a fully remote work environment that promotes flexibility and work-life balance. Employees benefit from a culture of continuous learning and professional development, with opportunities to engage in meaningful projects that directly impact clients' success. Join us to be part of a dynamic team where your expertise in econometrics will be recognised and rewarded.

YunoJuno

Contact Details:

YunoJuno Recruitment Team

We think you need these skills to ace Remote Senior Marketing Analytics & Econometrics Consultant

Econometric Modeling
Communication Skills
Independent Work
Client Engagement
Analytical Skills
Problem-Solving Skills
Data Interpretation