Python Job: Data Analyst

Job added on

Company

Car & Classic
United Kingdom

Location

Remote Position
(From Everywhere/No Office Location)

Job type

Full-Time

Python Job Details

About you

You’re a Data Analyst who has real curiosity when it comes to answering business questions with data. You enjoy finding hidden patterns and relationships. You look for the right tools for a given job - rather than just using what you’re used to.


You enjoy working collaboratively with a wide range of stakeholders across the business. You take an interest in the wider business context and independently identify areas where data and analytics could deliver value.


You have a passion for learning and are always looking for opportunities to hone your craft.


About the role

You will be responsible for answering both day-to-day and longer-term, strategic questions with data, analysing data and processes, developing analytics data flows, dashboards and reporting, and distilling actionable insights on core business metrics.


Reporting directly to the Head of Data, you will work across Car & Classic to add critical analytical horsepower to ensure we’re making data-driven decisions, and using insights to improve efficiency and customer experiences.


About us
www.carandclassic.com

Car & Classic is one of the largest automotive marketplaces in the world. We’re lucky to have thousands of user-generated listings submitted monthly with content gems from James Bond’s Aston DB5 to Elvis Presley’s Cadillac. The site is old, launched in 2005 but under new, VC-backed ownership since 2018 and on an exciting triple-digit growth journey to bring classic vehicle transactions online.


Our culture is incredibly important to us. We’re lucky enough to have built the team from scratch with a focus on enjoying the day-to-day, diversity, inclusion and high performance. Despite being an entirely distributed business we build strong connections as colleagues and have created a fun and high-performing culture.


Whilst the team is only 100 people now we expect to double over the next 12 months. We’re looking for a Data Analyst that has good, relevant experience and wants to make their mark in a rapid-growth business where they can make a real difference, whilst enjoying the environment and culture.


Finally, you don’t have to love cars to work here (and lots of our team don’t) but for those who do this is an incredible opportunity to combine your passion and professional lives – we look forward to hearing from you.


Role and responsibilities

  • Working proactively with stakeholders to understand data requirements, converting these into structured analytical hypotheses and output and using these to help identify areas where we can drive business performance and growth.

  • Building innovative and scalable analytical solutions which solve real business problems

  • Working to optimise our analytics infrastructure and analytics data pipelines using a range of technologies

  • Identifying new data sources which could deliver business value and working with other technical stakeholders to ingest and transform this into analytics-ready modelled datasets

  • Confidently delivering the results of your work to technical and non-technical stakeholders to influence decision-making in a way which ensures that business decisions are data-driven and evidence-based

  • Being closely involved with the identification, procurement and implementation processes for new technologies such as BI/reporting tools, observability platforms etc.


What do you get (remuneration & benefits)?

  • Salary up to £50,000 (dependent on experience)

  • Stock options

  • All the equipment you need to get the job done

  • Flexible working - work where and when you want in order to get the job done

  • Access to free counselling, therapy and mental health support via Spill

  • Professional development allowance

  • Company-paid team retreats ‍ ️

  • Income Protection

  • Life Cover ‍‍

  • Smart Health

  • Generous parental leave

  • 33 days holiday (including bank holidays) & any period of closure over Christmas also paid

  • Ability to make your mark on a fast-growing start-up


The skills, attributes and experience you must have:

  • Advanced SQL skills

  • Experience working with a data warehouse (Snowflake would be nice but not essential)

  • Experience of using standard data analysis packages within "Python OR R" (pandas / numpy / matplotlib / plotly / scikit / statsmodels) (tidyverse / dplyr / ggplot2)

  • Ability to communicate technical findings to a range of non-technical stakeholders

  • Ability to prioritise and deliver a workload comprised of a range of short and long-term deliverables

  • Ability to translate business questions into well-structured analytical solutions

  • Ability to write comprehensible, well-structured code


Skills, attributes and experience it would be nice for you to have:

  • Use of DBT (desirable)

  • Use of Git / Github (desirable)

  • Use of at least one BI tool (Metabase, Looker, Thoughtspot, Tableau…)

  • Experience working with a modern ELT data stack


Our application process

We want to make sure we hire the best available talent! We had a fantastic 2021 with all of our hires hitting the ground running. We are excited to do the same in 2022.


Every role is crucial to us at this stage of our growth. We are improving and evolving our recruitment and application process on a monthly basis. We are trying to remove any bias from our recruitment process, this is an ongoing issue in the recruitment function for companies of all sizes.


To help achieve this we have refined our application form that you will find when you click 'Apply for this job'. The answers to the questions are the difference between your application is progressed or not so please do give them your time and effort when answering. The first thing our Talent Partner will review is these questions (we may not even need to review your CV depending on your answers).


Good luck with your application and thank you in advance for your interest in joining us at Car & Classic.