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- Tasks: Analyse data to drive insights and support decision-making across the business.
- Company: Join a vibrant tech company that values collaboration and innovation.
- Benefits: Enjoy a competitive salary, hybrid working, and generous holiday allowance.
- Why this job: Make a real impact by turning data into actionable insights for our customers.
- Qualifications: Experience in data analysis, strong SQL skills, and a passion for problem-solving.
- Other info: Embrace a culture of learning and inclusivity while growing your career.
The predicted salary is between 28800 - 48000 £ per year.
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.
Requirements
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 analyse 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 analyse 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.
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
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
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.
Data Analyst in Manchester employer: Purple | B Corp™
Contact Detail:
Purple | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at Purple or in the data analysis field on LinkedIn. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and SQL projects. This is your chance to shine and demonstrate how you can help Purple maximise their data value.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to the team at Purple.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Purple team.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your SQL proficiency, any experience with data visualisation tools like Looker, and your ability to work collaboratively in a team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the role and how your background makes you a great fit. Share specific examples of how you've used data to solve problems or drive insights in previous roles.
Showcase Your Curiosity: In your application, let us know about your passion for data. Mention any projects or experiences where you’ve gone above and beyond to understand data trends or patterns, as we love candidates who are curious and eager to learn.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Purple | B Corp™
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this role, make sure you brush up on writing complex queries. Prepare examples of past projects where you've used SQL to derive insights or solve problems, as this will show your practical experience.
✨Familiarise Yourself with Data Visualisation Tools
Get comfortable with Looker or any other BI tools you’ve used. Bring along a portfolio of dashboards or reports you've created, and be ready to discuss how they helped stakeholders make informed decisions.
✨Show Your Curiosity
Demonstrate your curiosity about data by preparing questions about the company’s data practices. Ask about their data governance strategies or how they ensure data quality, which shows you're genuinely interested in contributing to their goals.
✨Prepare for Collaboration Questions
Since this role involves working closely with different teams, think of examples where you've successfully collaborated on data projects. Be ready to discuss how you communicated complex data concepts to non-technical stakeholders.
