Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members.
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment. Be part of the long-lasting relationships with our clients.
Work with other senior profiles to take data throughout its lifecycle, and present the results and recommendations to the client (Directors and C-level).
We are Metyis. We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients; together we celebrate collective victories.
At Metyis we share and entrepreneurial mind-set, a compelling passion to create and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. Our work environment unifies creative problem-solving and strategic thinking. We provide resources to visionaries who understand the direction that the world is moving. Tomorrow’s world is data-driven. It is digital. It is international.
Become part of the journey, become part of Metyis. Partners for impact.
Solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
Supervising data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics; These analysis are typically carried out with SQL, R, Python, Matlab, and Excel sometimes.
Coaching and mentoring team members.
Communicating analyses via compelling presentations.
Managing stakeholders and communicating with executives
Preparing and facilitating workshops
Over than 6 years of professional experience in the analytics field.
An advanced degree in quantitative field (e.g. Engineering, Mathematics, Physics, etc.); PhD is highly valuable.
Problem solving skills are necessary; structured way of thinking.
Strong technical skills regarding data analysis: mathematics, statistics, and programming (SQL, Python, R, and/or Matlab).
Skilled with Excel and Powerpoint.
Good communicative skills (oral and written); fluent in Spanish and English.
Good to have experience in Retail, FMCG, and/or Banking industry.