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For Companies At a Glance
- Tasks: Build and maintain data models, create dashboards, and tell compelling data stories.
- Company: Fast-growing outdoor brand focused on wellbeing and sustainability.
- Benefits: Collaborative culture, innovative projects, and opportunities for personal growth.
- Other info: Dynamic role with a focus on innovation and AI in data analytics.
- Why this job: Join a passionate team and make a real impact through data-driven decisions.
- Qualifications: Experience with BI tools, dbt, and strong SQL skills.
The predicted salary is between 40000 - 50000 ÂŁ per year.
Passenger is driven by a passion for escapism, connection, and the wellbeing of both people and the planet. As a fast‑growing brand in the outdoor sector, we create products that are 'made to roam' and embody a culture that embraces inclusivity and fosters a collaborative team environment. We’re looking for someone who shares our passion for protecting the planet while building something unique and authentic.
An opportunity has arisen for an Analytics Engineer to join our data team. You’ll be responsible for building and maintaining the data transformation layer that powers analytics across Passenger, while creating compelling visualisations and insights that drive business decisions. Working closely with our Head of BI and Data, you’ll translate business logic into robust dbt models and bring data to life through self‑service dashboards and data storytelling in Lightdash. This role uniquely blends technical data engineering with business intelligence; you’ll need to be as comfortable writing SQL and building dbt models as you are crafting dashboards and presenting insights to stakeholders. Your role will bridge the gap between raw data and business impact, building scalable data models that enable teams across the business to make data‑driven decisions, while also being the person who helps them understand what the data is telling them. We are always looking for the next edge, and we want someone who brings a genuine appetite for innovation and AI, so we can keep punching above our weight as a lean data team.
What You’ll Be Doing Day To Day
- Build the transformation layer: create and maintain dbt models that transform raw e‑commerce data into analytics‑ready datasets across customer, product, marketing, finance and operations domains.
- Tell data stories: design and build intuitive dashboards and visualisations in BI that answer business questions and surface insights proactively.
- Partner with the business: collaborate with teams across trade, marketing, finance, product, and operations to understand their needs and deliver analytical solutions that drive decisions.
- Write production‑quality SQL: build clean, well‑tested, documented queries in dbt that adhere to data quality standards.
- Communicate insights: present complex data findings in clear, compelling ways to both technical and non‑technical audiences.
- Maintain documentation: keep data models, metrics, and dashboards well‑documented within dbt and our BI platform.
- Experiment and innovate: actively experiment with new AI tools and techniques, sharing learnings with the wider team to raise the bar on how we work with data.
- Support ad‑hoc analysis and exploratory work on business projects.
- Leverage AI to support relevant research and analysis tasks.
What You Will Bring
- Strong foundation and experience using BI and visualisation tools such as Lightdash/Looker or similar (Power BI, Tableau, etc.).
- Strong foundation and experience using dbt and knowledge of its core concepts and best practices.
- Well versed in database management tools and data structures, understanding of SQL.
Analytics Engineer in Hampshire employer: Passenger
Contact Detail:
Passenger Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Hampshire
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data visualisations and projects. This is your chance to demonstrate your expertise in SQL and dbt models, so make it shine and share it during interviews.
✨Tip Number 3
Prepare for those interviews! Research Passenger’s values and culture, and think about how your passion for the planet aligns with their mission. Be ready to discuss how you can contribute to their data-driven decisions.
✨Tip Number 4
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 being part of our team at Passenger.
We think you need these skills to ace Analytics Engineer in Hampshire
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for data and the outdoor sector! In your application, share why you’re excited about the role of Analytics Engineer at Passenger and how your values align with our mission to protect the planet.
Tailor Your CV: Make sure your CV highlights relevant experience with SQL, dbt, and BI tools like Lightdash. We want to see how your skills can help us build that transformation layer and create compelling data stories!
Craft a Compelling Cover Letter: Use your cover letter to tell us about a project where you turned raw data into actionable insights. This is your chance to showcase your storytelling skills and how you can bridge the gap between data and business impact.
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Passenger
✨Know Your Data Tools
Make sure you’re well-versed in the BI and visualisation tools mentioned in the job description, like Lightdash or Looker. Brush up on your dbt skills too, as you'll need to demonstrate your understanding of its core concepts and best practices during the interview.
✨Craft Your Data Stories
Prepare to showcase how you can turn raw data into compelling narratives. Think about examples where you've created dashboards or visualisations that answered specific business questions. Be ready to explain your thought process and the impact your insights had on decision-making.
✨Collaborate and Communicate
Since this role involves partnering with various teams, practice articulating how you’ve worked cross-functionally in the past. Highlight your ability to communicate complex data findings clearly to both technical and non-technical audiences, as this will be key in your role.
✨Show Your Innovative Side
Passenger is looking for someone with a genuine appetite for innovation and AI. Come prepared with ideas on how you might experiment with new tools or techniques in your work. Sharing your enthusiasm for staying ahead of the curve will definitely make you stand out!