Analytical Approach to Data

This is a key role where innovation and experimentation will be encouraged. You will need to inspire confidence and communicate the value and limitations of data to non-technical stakeholders. You will help design & development POCs and guide the process of defining project scope whilst taking a leading role in a fast-paced, scale-up environment.

Job Details

You will be required to build rapport quickly, creating positive and productive relationships with both internal and external stakeholders. You must have excellent communication skills, and actively enjoy shaping requirements and communicating technical concepts to non-technical stakeholders. Be proactive / hard-working / reliable and have an strong analytical approach to problem solving.

Required skills

  • A love of data & highly analytical, enjoys translating complex data into valuable insights.
  • Exceptionally strong SQL and or Python / R to analyse large datasets.
  • Demonstrable commercial and business acumen – you’re motivated by seeing real world improvements from your insights and modelling.
  • Experience with cloud computing ecosystems.
  • Exposure to and appreciation of software engineering best practices applied to data
    (eg. version control, CI/CD, InfoSec principles)
  • Strong programming skills as evidenced by earlier work in data science or software engineering.
  • Commercial experience applying ML techniques to drive demonstrable value.
  • An excellent command of Python and basic libraries for data science
    (e.g. NumPy, pandas, scikit-learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe).
  • A solid grasp of supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP or consuming APIs for models.
  • Ability to develop new algorithms when an innovative solution is needed is a fundamental skill
  • Strong data visualisation skills using BI tool such as Tableau, Quicksight or similar.
  • Strong understanding of cloud based data services: including AWS.

Advantageous

  • Experience with ETL tools, ideally Pentaho
  • Wxperience with a wide range of SQL products ideally MSSQL, Vertica, Redshift, Snowflake and Presto.

Location

Xanda operate out of our North London offices very close to East Finchley tube station on the Northern Line.

Salary

£45,000 – £75,000 per annum, negotiable considering skills and experience.

Candidates will

  • Enjoy being part of the company’s fast-paced, scale-up environment.
  • Build rapport quickly, creating positive and productive relationships with both internal and external stakeholders.
  • Value diversity, different environments and cultures.
  • Have excellent communication skills, and actively enjoy shaping requirements and communicating technical concepts to non-technical stakeholders.
  • Be proactive / hard-working / reliable.
  • Have an analytical approach to problem solving.
  • Be subject to a DBS check.
  • Have experience in the design & development of POCs.
  • Be able to deliver projects from inception to completion often working with a broad mix of individuals and companies with diverse skill sets.
  • Possess outstanding attention to detail and understand the need for high quality documentation.
  • Collaborate with various companies (vendors, operators & others) to provide technical recommendations and specifications for wider industry adoption.
  • Be highly experienced in the Agile methodology and processes with a hands-on approach to assist with the design and prototyping for product backlog and road-mapped features.
  • Be able to work towards deadlines, being personally resilient and able to handle, at times, the pressure of a demanding workload and complex client needs.

Apply for the Data Analyst – London position here

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