Overview

Are you a data enthusiast looking for an exciting opportunity? Look no further! Merkle, the largest independent agency in the US for CRM, digital, and search, is seeking a Data Strategy Lead to join their team in Milan. In this role, you will support business requirements' analysis, develop insights from various data assets, and contribute to strategic business decisions. You'll have the opportunity to work with top brands like Dell, T-Mobile, and Samsung, while enjoying a young and dynamic environment that values teamwork and collaboration. If you have a degree in Business and Economics or Data Science, along with 4-5 years of experience in running models and data science projects, this could be the perfect fit for you. Don't miss out on this chance to join a company that values diversity and offers a flexible and inclusive work environment. Apply now and let's see if we're a match!

Job Description

Company Description

Merkle is a global data-driven, technology-enabled performance marketing agency and the largest independent agency in the US for CRM, digital, and search. For more than 28 years, Fortune 1000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We work with brands like Dell, T-Mobile, Samsung, Geico, Regions, Kimberly-Clark, AARP, Lilly, Sanofi, NBC Universal, DIRECTV, American Cancer Society, Susan G. Komen, and many others to build and execute customer centric business strategies.

Job Description

For our office in Milan, we are looking for a Data Strategy Lead.

The purpose of this role is to support business requirements’ analysis, develop insights from various data assets, develop statistical models and contribute to define strategic business decisions in different industries.

You will manage business & communication outcomes analysis, measuring the client’s communication strategy effectiveness to identify insights and actions and optimize client’s media strategy.

You will work in a young, dynamic environment, with transversal skills and strongly based on teamwork, mutual collaboration and autonomy.

Key responsibilities:

  • Managing a complex analysis using different tools and data analysis techniques;
  • Define and report key metrics & actionable insights;
  • Shares complex quantitative analysis in a clear, precise and actionable manner internally and with clients;
  • Deep dives in clients’ business: understanding their challenges, objectives, external economic environment, able to get into the business model of the client;
  • Knowledge of different Data Science methods and ability to choose the most appropriate one to solve the problem.

Qualifications

  • Degree in Business and Economics, Data Science or equivalent (Statistics, Math);

  • Experience of 4-5 years in running models and data science projects.

The knowledge of the following will be considered as a plus:

  • Good knowledge of Python and R;
  • Marketing mix modelling
  • Able to work in team and to handle tight deadlines
  • Problem solving and Strategic thinking

Additional Information

We work with highly motivated people, who support and enrich each other. We live the possibilities of the digital world through home office, meaning you can work anywhere with flexible (annual) working hours. We also value face-to-face exchanges - coffee or tea, biscuits or fruit are all welcomed on board and shared throughout our offices.

If you ever feel the need to take a break from the digital world, we love to get hands on together and use pens, paper, and whiteboards for brainstorming sessions. Need to clear your head? Hit the foosball table, PlayStation, massage bench or yoga mat. For networking and (brain) food, we offer regular exchange formats, like meetings, tech labs and more. Not enough? We are full believers in education and support training, whether it be internally or externally. We support you.

If you feel inspired by us, we’ll probably be inspired by you. Join us now and apply online to make sure we match each other’s expectations. We value diversity and are committed to creating an inclusive environment. We welcome all qualified candidates - regardless of your gender or background, please indicate your salary expectations and possible entry date. We look forward to hearing from you!

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