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MVF

Analytics Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Mid level
In-Office
London, Greater London, England
Mid level
The Analytics Engineer will build data pipelines, perform data analysis using SQL, and create visualizations to support stakeholders. You will work with various teams to improve data insights and enhance data products.
The summary above was generated by AI
The Role
We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the Data team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for driving forward our revenue.
What we're offering you
  • Flexible hours and summer hours
  • Hybrid working
  • Competitive holiday benefits - 25 days a year paid holiday, plus 8 bank holidays (increases 1 day a year up to 30 days)
  • Closed for Christmas holidays
  • Work from anywhere for 2 weeks a year
  • Life Assurance and Income Protection to protect your loved ones
  • Benefits allowance for health, dental, and vision coverage
  • Defined Contribution Pension and Salary Sacrifice Scheme
  • Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families
  • Family Forward support for our MVF parents and their mini-mes
  • Free breakfast when in the office
  • 2 charity days a year

Responsibilities
  • Ability to communicate technical information to both technical and business audiences
  • Perform complex data analysis using SQL
  • Build and maintain well-documented data pipelines
  • Partner with Senior Analytics Engineers, Data Scientists, Product Managers and Data Engineers to deliver robust data products
  • Create dashboards and visualisations using BI tools
  • Provide support to stakeholders and junior team members

Requirements
  • You write great SQL
  • Demonstrable experience of building data pipelines
  • Clear ability to prioritise tasks and drive them through to completion
  • Experience working with BI tools
  • Experience working with dbt or other data transformation tools

Nice to have
  • Familiarity with software engineering, i.e. comfortable with git and terminal
  • An understanding of data modelling & data architecture
  • Specific tool experience, e.g. Snowflake, Looker
  • Python knowledge

Please note: We know that no candidate will be the perfect match for all we've listed in this posting, so we'd encourage you to apply if you feel you're close to the brief but not an exact match.

Top Skills

Bi Tools
Dbt
Looker
Python
Snowflake
SQL

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