At a Glance
- Tasks: Analyse data to drive insights and support decision-making across the business.
- Company: Join a dynamic tech company with a collaborative and inclusive culture.
- Benefits: Competitive salary, hybrid working, 25 days holiday, and professional development opportunities.
- Why this job: Make an impact by turning data into actionable insights while learning new skills.
- Qualifications: Strong SQL skills and a passion for data analysis; experience with BI tools is a plus.
- Other info: Embrace a fun, positive work environment that values diversity and continuous learning.
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 tightāknit 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 handsāon exposure to data engineering. You will help maintain our existing data pipelines and warehouse, supporting our internal and customerāfacing analytics platforms.
Requirements
We're looking for someone who can ensure Purple is maximising the value of our data and helping stakeholders gain insights.
- Pipeline Monitoring: Monitor automated workflows in Cloud Composer (Airflow), identifying failures and reārunning 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 customerāfacing 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 SQLābased, 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 fastāpaced environment with changing directions.
Benefits
- Competitive salary + performance bonus.
- Hybrid working ā 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 ā 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 ā We own things and get them done whatever it takes.
- Playful and positive ā Life's too short to take things too seriously; we love positivity.
- In it together ā We're always available to help for the greater good of the business.
- No bullsh*t, no politics ā We want to enjoy coming to work and make it pleasant.
- Know your stuff, keep learning ā We value knowledge and a thirst for more of it.
- No drama ā Things don't always go right, but a calm head always helps.
- Raise the bar ā 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 CorpTM
Contact Detail:
Purple | B CorpTM Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Analyst in Manchester
āØTip Number 1
Network like a pro! Reach out to current employees at Purple or similar companies on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
āØTip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially any dashboards or SQL queries you've built. This will help us see your practical experience and creativity.
āØTip Number 3
Prepare for the interview by brushing up on common data analysis questions and scenarios. We love candidates who can think on their feet and demonstrate problem-solving skills with real-world examples.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, it shows youāre genuinely interested in joining our team.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application š«”
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 dbt, and your ability to create dashboards. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality! Share why you're excited about the role and how your curiosity drives your data analysis. Let us know how you can contribute to our collaborative environment.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing real examples of your work, especially if they involve data visualisation or complex SQL queries.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it shows us youāre keen to join the StudySmarter family!
How to prepare for a job interview at Purple | B CorpTM
āØKnow 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, and be ready to discuss your thought process during the analysis.
āØShow Off Your Data Visualisation Skills
Familiarise yourself with Looker or any other BI tools you've used. Bring along a portfolio of dashboards or reports you've created, and be prepared to explain how they helped stakeholders make informed decisions.
āØDemonstrate Your Curiosity
The company values curiosity about data, so think of questions you can ask during the interview that show your eagerness to learn more about their data processes. This could include inquiries about their data governance practices or how they approach problem-solving with data.
āØBe Ready for Collaboration Questions
As this role involves working closely with different teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you ensure everyone is on the same page when tackling data-related projects.