Analytics Engineer

Analytics Engineer –  Azure

A growing Manchester based company with a global outreach and a strong focus on powerful analytics has 2 openings in their growing data team. 

They are flexible on remote/hybrid working and offer a highly dynamic working environment.

They are developing an in-house platform to help analysts with automating processes and unlocking capabilities. 

What you will be getting up to

  • Design Tabular data models using Star/ Snowflake schema
  • Design Azure Databricks notebooks to ingest and display Tabular data.
  • Build Power BI dashboards and reports for internal and external customers.
  • Assist with ad hoc product data requests from internal customers.
  • Conduct complex data analysis and be able to explain complex technical concepts to management, illustrating passion for making data tell a story.
  • Work closely with the wider central data team to support the development of new products, that are providing new & commercially focused insights into our payments data.

What you can bring to the role

  • Educated to bachelor’s degree level with a minimum 2:1 in Mathematics, Computer Science or another relevant analytical field.
  • Knowledge of programming languages; Python. Proven experience of using Python in previous role’s daily tasks/responsibilities. Spark or Scala is highly desirable. 
  • SQL experience.
  • Knowledge and experience of visualization tools, e.g., Power BI, Tableau, Excel etc. Excellent numerical and analytical skills.
What’s in it for you

  • Health care package including discounted gym membership
  • Very generous company pension plan
  • Comprehensive, six-month payments industry training plan
  • Quarterly company values awards with a financial prize
  • Excellent annual bonus based on company & personal performance
  • Sociable, open plan office environment with company-wide activities
  • Genuine opportunity to progress your career, including performance-related external training
This is a great opportunity to take ownership of a growing data function with huge investment in their tech offering.