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Business Growth Analytics Specialist

2 months ago

London, Greater London, United Kingdom Assembly Full time

At Assembly, we empower businesses to drive innovation and growth through strategic partnerships and cutting-edge solutions. As a global brand performance agency, we foster a collaborative culture that encourages creativity and data-driven decision making.

As a Data Scientist at Assembly, you will play a pivotal role in developing our data science product set and expanding our global presence. Your expertise will be instrumental in identifying opportunities for new products and services, particularly in the areas of data privacy and measurement.

Key Responsibilities:

  • Collaborate with our Head of Department and Data Science team to design and implement data-driven solutions that drive business growth.
  • Conduct in-depth analysis of market trends and client needs to identify opportunities for new products and services.
  • Develop and maintain strong relationships with key global clients, providing strategic consulting and added-value services.
  • Lead and manage large-scale client projects, ensuring timely delivery and exceptional results.
  • Guide and support regional teams in their data science delivery, promoting consistency and excellence in their work.

Requirements:

  • Exceptional analytical skills, with a strong passion for using data to drive business growth (3-4 years of experience in product analytics or Data Science).
  • Proficiency in SQL and hands-on experience with large relational databases.
  • Foundational knowledge and experience working with Python.

Preferred Qualifications:

  • Experience with digital marketing platforms and data ecosystems.
  • Understanding of the MarTech and digital marketing measurement landscape.
  • Knowledge of data privacy and security developments in online advertising.
  • Experience working with cloud computing environments such as AWS or GCP.
  • Curiosity and proactivity in seeking new opportunities for the Data team to work with clients and internal teams.
  • Highly organized and process-driven, with the ability to manage multiple projects simultaneously.