Data Analyst

Data Analyst

Data Analyst

Purple

Manchester, England, United Kingdom

19 hours ago

No application

About

  • We are looking for a junior to mid-level Data Analyst to join our Data Science team. You will report directly to the Data Science Lead and sit within the wider Product & Technology department. You will work within a collaborative tight-knit team, handling a variety of data sources across the business to drive understanding and prediction of performance.
  • In this hybrid role, you will act as a "full-stack" analyst. You will be responsible for collecting, organizing, analyzing, and presenting data to help Purple and our customers answer key business questions through visualizations, dashboards, and reports.
  • While your primary focus will be analysis, you will also gain hands-on exposure to data engineering. You will help maintain our existing data pipelines and warehouse, supporting our internal and customer-facing analytics platforms.
  • We're looking for someone who can ensure Purple is maximising the value of our data and helping stakeholders gain insights.
  • Key Responsibilities
  • Pipeline Monitoring: Monitor automated workflows in Cloud Composer (Airflow), identifying failures and re-running jobs to ensure data availability.
  • Data Modelling: Maintain and enhance our data warehouse (built on BigQuery) using dbt.
  • Internal Analytics: Develop and maintain internal dashboards using Looker to provide insights to the wider business.
  • Customer Analytics: Support our customer-facing analytics offering via embedded GoodData dashboards.
  • Deep-Dive Analysis: Write complex SQL queries to analyze large amounts of information, discovering trends and patterns.
  • Collaboration: Coordinate with different functional teams to identify where the data team can aid their workflows and ensure stakeholders get value from projects delivered.
  • Data Governance: Handle data in a safe and secure manner.
  • Experience
  • Ideally 2/3+ years of experience in a data analysis role.
  • Technical Skills
  • SQL: Strong proficiency in writing complex SQL queries is essential.
  • Transformation (dbt): Experience with dbt is beneficial. However, since our warehouse is SQL-based, we are happy to teach dbt if you have strong SQL skills and a willingness to learn.
  • Visualization: Experience building dashboards in BI tools (e.g., Looker, Tableau, PowerBI). Experience with Looker is preferred.
  • Cloud Platform: Familiarity with the Google Cloud Platform (GCP) ecosystem, specifically BigQuery, is a plus but not essential.
  • Spreadsheets: Proficiency in Google Sheets (or Excel) to manipulate and analyze data quickly.
  • Scripting: Basic knowledge of Python for data transformation and analysis is useful.
  • Professional Attributes
  • Curiosity: You are curious about the data underlying everything and seek to apply scientific rigour to assumptions.
  • Communication: You can communicate complex data concepts effectively to the rest of the business.
  • Problem Solving: You enjoy challenges, are transparent about problems, and understand how data can solve business issues.
  • Autonomy: Ability to work autonomously as well as part of a team in a fast-paced environment with changing directions.
  • Values
  • Make it happen – We own things and get them done whatever it takes.
  • Playful and positive – Life’s too short to take things too seriously; we love positivity.
  • In it together – We’re always available to help for the greater good of the business.
  • No bullsh*t, no politics – We want to enjoy coming to work and make it pleasant.
  • Know your stuff, keep learning – We value knowledge and a thirst for more of it.
  • No drama – Things don’t always go right, but a calm head always helps.
  • Raise the bar – We aim high, take smart risks, and push what’s possible.
  • Bring Your Best Self to Work
  • At Purple, we are committed to fostering a diverse and inclusive workplace. We value the unique perspectives and experiences that each individual brings, and we believe that diversity enriches our team and drives innovation. We encourage applications from candidates of all backgrounds, regardless of race, gender, sexual orientation, religion, disability, or any other characteristic. We understand that everyone's journey is different, and we are open to conversations about flexible working arrangements that can accommodate your needs.
  • Benefits
  • Competitive salary + performance bonus
  • Hybrid working - the best of both worlds
  • Emphasis on learning and development to progress your career
  • 25 days holiday (plus bank holidays) and the option to buy extra days
  • 4 volunteering days each year - give something back to the community
  • Life insurance at 2 x salary
  • Employee Assistance Programme, 24/7 helpline
  • Company pension, 4% employer contribution
  • Private Healthcare & Long Term Incentive Plan after 12 months’ service