At a Glance
- Tasks: Design and build data models and pipelines to drive analytics and insights.
- Company: Join giffgaff, a certified B Corp focused on positive impact and collaboration.
- Benefits: Competitive salary, hybrid working, and a supportive culture with great perks.
- Other info: Work in a modern office or remotely, with excellent career growth opportunities.
- Why this job: Shape data-driven decisions and enhance member experiences in a dynamic environment.
- Qualifications: Degree in a related field and experience in data engineering with SQL proficiency.
The predicted salary is between 40000 - 50000 £ per year.
Join giffgaff as an Analytics Engineer and help shape how data drives decisions across our business. You will play a key role in designing, building and maintaining high-quality data models and pipelines that power analytics, reporting and product insights. Working on our modern data platform, you will ensure data is reliable, well-structured and accessible, enabling teams to make faster, smarter decisions that improve our member experience.
In this role, you will collaborate closely with Product, Data Science and Business teams to understand their analytical needs and translate them into robust, scalable solutions. You will design and implement dimensional models, including star and snowflake schemas, to support self-serve analytics and reporting, while building pipelines that handle large volumes of data from multiple sources. Alongside this, you will contribute to data quality, experimentation and visualisation, helping embed a strong data-driven culture across giffgaff.
The must haves:
- Bachelor’s degree in computer science, engineering, mathematics, or a related field
- Experience in data or analytics engineering, focused on building data pipelines
- Strong proficiency in SQL and at least one programming language such as Python or Java
- Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery or Redshift
- Strong experience in data modelling, including dimensional modelling techniques such as star and snowflake schemas
- Experience working with cloud platforms such as AWS or GCP
The other stuff we are looking for:
- Exposure to data visualisation tools such as Tableau, Looker, Streamlit or Power BI
- Familiarity with stream or batch processing frameworks such as Kafka, dbt or Airflow
- Understanding of product analytics and data-driven experimentation
- Strong problem-solving skills with excellent communication and attention to detail
What's in it for you:
Our goal is to celebrate our people and their lives. We aim to create a culture that empowers everyone to bring the best versions of themselves to work each and every day. We believe the most inclusive and diverse culture makes for a better business and a brighter world. Working at giffgaff means you get a bumper reward package bursting with benefits, and loads of extras you can add if you'd like. These are designed to support both you and your loved ones, making sure that you're covered no matter what life throws your way.
We're all about hybrid working here, so expect to have a base location where you'll have the right facilities to enable amazing collaboration and quality time with your team, alongside all the right kit to work from home too.
Next steps:
If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application, the next steps of the process, if successful, are likely to include an initial screening call, followed by technical and stakeholder interviews. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information, if needed.
Analytics Engineer - 12 Month FTC employer: Giffgaff
At giffgaff, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As a certified B Corp, we are committed to making a positive impact while offering competitive salaries, a comprehensive benefits package, and flexible working arrangements from our modern Uxbridge office or remotely. Join us to collaborate with passionate teams and contribute to a data-driven environment that values innovation and personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - 12 Month FTC
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at giffgaff. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of your work, bring them along to interviews. Demonstrating your data models or pipelines can really set you apart from the crowd.
✨Tip Number 3
Prepare for those technical questions! Brush up on SQL and your programming languages. Being able to talk through your thought process will impress the interviewers and show you're ready for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the giffgaff family.
We think you need these skills to ace Analytics Engineer - 12 Month FTC
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data and analytics. Share specific examples of projects you've worked on that highlight your skills in building data pipelines and models. We love seeing how you can make data work for decision-making!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with SQL, Python, and any cloud platforms you've used. This helps us see how your background aligns with what we're looking for at giffgaff.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to process it efficiently. Plus, you'll get to explore more about our culture and values while you're at it!
How to prepare for a job interview at Giffgaff
✨Know Your Data Models
Make sure you brush up on your knowledge of dimensional modelling techniques, especially star and snowflake schemas. Be ready to discuss how you've implemented these in past projects and how they can support self-serve analytics.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in SQL and at least one programming language like Python or Java. You might be asked to solve a technical problem on the spot, so practice coding challenges that relate to data pipelines and analytics.
✨Understand Their Business
Research giffgaff’s unique business model and their focus on member collaboration. Be prepared to discuss how your role as an Analytics Engineer can contribute to their mission of making a positive impact and improving member experience.
✨Communicate Clearly
Strong communication skills are key, especially when collaborating with Product, Data Science, and Business teams. Practice explaining complex data concepts in simple terms, as you'll need to translate analytical needs into actionable solutions.
