Data Analyst - Fintech - SQL

  • City of London, London
  • £40,000- £55,000

Summary

Data Analyst - Central London - SaaS Fintech Company that have grown from 60-280 in 2 years - up to £50k.

I currently have an exciting opportunity for an experienced Data Analyst to join my clients Customer Experience team based in Central London.

Salary

£40000 - £55000
Depending on experience

Job Description

The Data Analyst will play a key role in analysing customer and company data to provide insights into the behaviour of those SaaS partners to improve the productivity and effectiveness of their product range.

YOUR DAY-TO-DAY WILL INVOLVE:

  • Supporting the Head of CX with information, facts and reports on various aspects of the customer experience.
  • Assisting product owners with the data reporting infrastructure & reporting needs required to make decisions regarding optimising product functionality.
  • Managing the accuracy of event data and their properties.
  • Documenting & maintaining the Product department's procedures for reporting and experiment & research study activities
  • Encouraging a data-informed decision methodology by assisting product team members to utilise user behaviour data
  • Supporting the Product team by identifying opportunities to implement data science methods to solve research questions

YOU WILL BE RESPONSIBLE FOR:

  • Performing analysis using jupyter/python to establish the significance of certain behaviours on user behaviour & success
  • Managing new & existing events and properties to ensure data quality
  • Listening to customer phone calls to learn more about the various areas and provide feedback
  • Delivering impact analysis reporting to identify data issues or user behaviour.
  • Owning growth, retention and adoption metrics of users for new features and with the product as a whole and ensure results are being followed by Product Managers.
  • Seeking ways to improve the engagement of insights by encouraging discussion and sharing of information with peers and stakeholders
  • Maintaining data quality and ensuring the validity of product generated dashboards and reports are maintained

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