Senior Analytics Engineer

MyTutor is the UK’s leading online platform for one-to-one learning, and we’re building a future where access to high-quality learning is stress-free for those who can afford it, and funded for those who can’t. 

You can find a good taster of who we are, our culture & our ethos via the video linked here.

Our handpicked community of over 15,000 tutors work online with students from all walks of life and have already delivered over a million lessons. We’re proud of the fact that over 1,500 schools have chosen to work with us, and that we’ve earned a Trustpilot rating of 4.8/5 (You can also check out our tutors’ ratings here.)

Every role at MyTutor is open to applications from all sections of society. We see potential in every individual regardless of: race, ethnic origin or nationality; religion or belief; physical or neuro-ability; socio-economics or age; marital, domestic or civil partnership status; sexual orientation, gender identity, or any other characteristic that makes you… well, you.

We are committed to conscious inclusion to create a sense of belonging, connection and shared purpose within our teams. We know it’s the right thing to do, and we know it will make us all happier, fulfilled, and successful in our work. You can also find a copy of our current Gender Pay Gap report here and we are continuing to build our roadmap of creating a more diverse and inclusive workforce.

What’s it all about?

We are looking for a Senior Analytics Engineer to join our collaborative Data team. 

You will own the vision for analytics engineering at MyTutor - which at a high level means that it’s your mission to make sure that MyTutor gets maximum value from its data. You will measure your success by how quickly people can answer the questions they have themselves, how trusted our data is, how data-driven the decisions that are being made at all levels of the organisation are being made. And you’ll use a combination of tooling/process improvements, data modelling, business partnering, commercial understanding and analytics engineering/coding standards to do this. 

You’ll also be mentoring more junior members of the team, and making sure that the organisation understands the importance of analytics engineering to our ability to make good, fast decisions. 

Safeguarding is everyone’s business at MyTutor – we are committed to safeguarding and promoting the welfare of children, young people and adults, and we expect all directors, staff and tutors to share this commitment. This post is subject to a basic DBS check as this role will have access to children’s data.

Our stack

We have a state-of-the-art data stack at MyTutor:

• Snowflake for our data warehouse
• Stitch/Airbyte for data ingestion
• dbt for data transformation
• HighTouch for reverse ETL 
• Airflow for orchestration
• Machine learning using Python + Snowpark
• LightDash for Data Visualisation

What’s in it for you?

• The opportunity to make a real difference to children's lives; our product exists to bring equitable access to tutoring and education – we are a deeply values-led business. 
• A chance to work on a state-of-the-art data stack that is always evolving
• A chance to work in a high-performing team that has worked very hard on creating, documenting and maintaining standards. 
• To work in a super fun, happy team of very talented data people! 
• A detailed and transparent progression framework
• A buzzing office culture (although it’s not a hard requirement, we’d prefer candidates who are willing to come into the office at least once a week)

The Day to Day

• Work with the Director of Data to develop and own the vision for:
• Building a single source of truth for all business metrics
• Increasing the level of self-serve analytics at MyTutor and decreasing the amount of single-use analytics (i.e ad-hoc queries) that the data analysts need to service 
• Ensuring that our data continues to be ART (accurate, reliable and timely)
• Continuing to develop our state-of-the-art data stack
• To spend time designing and building beautiful, well-tested and well-documented data models that make self-serve analytics easy
• Partner with various functions around the organisation (i.e  Product, Marketing, Sales, Finance) on projects to help build the models they need to better achieve their goals - as well as setting standards and being responsible for the overall health of our codebase, you will always be working on at least one project!

Requirements

Who will you be?

• You are preferably able to work from our London office 1-2 days per week
• You are a dbt whizz
• You have a vision of how excellent analytics engineering facilitates better, faster decision making and have seen it work (and not work!) in multiple contexts 
• You are someone who doesn’t just do the work that is set for you. Before doing anything, you want to understand why. And if you disagree with the why, you challenge confidently and empathetically. 
• You have a passion for solving ambiguous, difficult and unstructured problems
• You are a bar-raiser who sees improving those around you as important as your own delivery 
• You want role that is a mix of leadership and IC - you will be delivering work as part of partnering with other areas of the business as well as being responsible for standards and the stack 
• You are someone who is comfortable working across multiple projects in a rapidly changing environment, and able to balance the need for accuracy and efficiency to prioritise work

Key skills

• Advanced SQL skills (including window functions)
• Substantial data modelling experience 
• Experience with at least one semantic layer
• Great stakeholder management skills
• Great project management skills
• Strong commercial understanding 
  

Preferred skills

• Experience working with Product, Marketing, Marketplace, Subscriptions or Finance data 
• Experience with AB testing (design, execution and analysis) 
• Experience with product analytics
• Experience of implementing data governance principles

Benefits

Perks & Benefits

• A salary of £60,000 - £70,000p.a.
• Hybrid working, with 1-2 days a week spent from our London office (Old Street)
• 25 days holiday, plus 1 ‘time for me’ day and flexible bank holidays
• Flexible working arrangements possible, around MyTutor’s core hours
• Workplace pension & salary exchange scheme
• Health & Wellbeing benefit options, plus cycle, tech and gym schemes
• Enhanced parent policies and workplace nursery scheme
• A personal L&D budget of up to £350, pro-rated for part-time employees
• Inclusive policies supporting all staff to flourish, and a wide range of MyTutor communities & networks
• Regular team events & socials
  
  

Interview process

Screening – A telephone call with a member of the Talent team to discuss your relevant experience to the role and give you further information on MyTutor and the role itself.

Stage 1 - Hiring Manager stage: 60 minutes with the Director of Data and 1 member of the data team where we will assess your motivation, experience, stakeholder management and ways of working.

Stage 2 – Technical interview: 60 minutes with two members of the data team, where we will assess your SQL, data modelling and problem-solving technical skills, as well as how well you work with others when solving a problem.

Stage 3 – ‘Culture & Values Add: A discussion with a MyTutor employee outside of the hiring team where they will ask you a series of questions based on our Behaviours & Values. During this round, we’re not looking for a ‘culture fit’ but focused on where you can add to our existing values and what your own values might add to the culture and work of the team.