Victoria Station, London (UK)

Senior Data Analyst/Engineer


Syntasa, a leading AI-assisted Customer Intelligence Platform, is looking for a Senior Data Analyst/Engineer with strong SQL skills to join our consulting team in London. If you have a passion for data and would like to work alongside some of the world’s biggest brands, we want to hear from you ASAP!

This is an exciting opportunity. Our company is growing rapidly and some of the coolest companies are entrusting us to help them organize and activate their data. It’s a new role, working alongside our in-house consultants, developers, engineers and data scientists, and will involve you working on client projects across London and with possible overseas travel. Every set of clients’ requirements are different, and no two days are ever the same.

Required Qualifications

  • 3+ years’ experience querying large datasets using SQL
  • Demonstrable, strong SQL programming ability and (ideally) experience using a scripting language such as Python
  • Excellent interpersonal and communication skills, including experience working with senior stakeholders
  • Hands-on analytical experience on large volumes of data
  • Ability to quickly understand the data landscape of an organisation at an enterprise level
  • Ability to present complex ideas to technical and non-technical audiences
  • A self-starter attitude, willing to take ownership and management of projects
  • A keen eye for detail (and not just for numbers) which will allow you to present project output to a consistent and high standard
  • Experience delivering training to stakeholders
  • Knowledge of industry standard marketing and analytics platforms such as Adobe Experience Cloud and Google Marketing Platform
  • Exposed to the following: Google Cloud Platform, Amazon Web Services, Big Query, Athena, Machine Learning, Hadoop, Spark, Hive, Docker, DCM, Data Science, GCS, S3, Adobe Analytics, Google Analytics, Adobe AAM, DMP, Scala, Python, and R.

Preferred Qualifications

  • Excellent analytical and problem-solving skills, using a range of data analysis or statistical techniques
  • Client-focused and willing to immerse yourself in some large, disparate datasets


Syntasa provides equal opportunities for all employees. We recruit, hire, train, promote, compensate, provide benefits, and dismiss employees without regard for race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital or veteran status, disability, or other classifications protected by applicable federal, state, and local laws. Syntasa invites any applicant and/or employee to review the Company’s written Affirmative Action Plan. This plan is available for inspection upon request by contacting